JP5636621B2 - Solar power generation monitoring method - Google Patents

Description

  The present invention relates to a technique for monitoring power generation of a solar power generation system.

  Since the start of the feed-in tariff system for renewable energy, companies have entered the solar power generation business one after another. The fixed price purchase system is a system that obliges an electric power company to purchase electric power generated by a power generation facility of a company or an individual at a fixed price. Under this system, after signing a power supply contract between the owner of the power generation facility and the power company, the purchase at the power selling price at the time of the contract is long-term (if it is a solar power generation facility of 10 kW or more) For 20 years, solar power generation facilities of less than 10 kW are guaranteed for 10 years). However, if the amount of power generation falls due to a system trouble during the contract period of the power supply contract, it will not be possible to achieve profits as originally planned. Therefore, when entering the solar power generation business, it is indispensable to introduce a mechanism that does not leave the state where the power generation capacity is reduced.

  Patent Document 1 is a document that discloses a technique that can meet such a demand. The solar power generation prediction system disclosed in the literature 1 includes a solar cell, a power conditioner, a watt hour meter, an energy management device, a notification device, a solar radiation meter, and a thermometer. This solar power generation system calculates the predicted power generation amount by applying the solar radiation amount of the installation destination of the solar cell and the predicted value of the temperature of the solar cell installation destination to the power generation amount calculation formula of JIS C 8907. The target power of the photovoltaic power generation system is adjusted according to the difference between the amount and the planned power generation amount.

Here, the calculation formula of JIS C 8907 is defined by Japanese Industrial Standards. For example, according to JIS C 8907, the amount of generated power E _pm (kWh / month) per month is obtained by the following equation (1).
E _pm = K / Gs × P _AS × H _AM (1)
Gs (kWh / m ² ) in this formula (1) is the amount of solar radiation for one month at the installation destination of the solar cell. H _AM (kW) is the rated output of the solar cell. K is a monthly total design coefficient and is given by the following equation (2).

K = K ′ × K _PT (2)
K ′ in the equation (2) is a basic design coefficient, and is given by the following equation (3). K _PT is a temperature correction coefficient and is given by the following equation (4).

K ′ = K _HD × K _PD × K _PA × K _PM × η _IND (3)
In this equation (3), K _HD is the solar radiation annual variation correction coefficient (JIS recommended value: 0.97), K _PD is the time variation correction coefficient (JIS recommended value: 0.95), and K _PA is an array. circuit correction coefficient (JIS recommended value: 0.97) _{and, K PM} array load matching correction coefficient (JIS recommended value: 0.94) and, eta _IND power conditioner execution efficiency (JIS recommended value: 0. 94). The coefficients K _HD , K _PD , K _PA , and K _PM in the equation (3) depend on the solar cell model, and the coefficient η _IND depends on the power conditioner model.

K _PT = 1 + α _Pmax (T _CR −25) / 100 (4)
Α _Pmax in the equation (4) is a temperature coefficient (JIS recommended value: −0.40 to −0.50). _TCR is the temperature of the solar panel.

JP 2011-259656 A

  However, in the case of the technique disclosed in Patent Document 1, it has been necessary to install a pyranometer and a thermometer at one place where the photovoltaic power generation system is installed. For this reason, there was a problem that the introduction cost would be expensive.

  This invention is made | formed in view of such a subject, and it aims at enabling it to provide the mechanism which monitors whether the photovoltaic power generation system is performing the electric power generation as originally planned at low cost. .

  In order to solve the above problems, the present invention is a photovoltaic power generation system to be monitored, which is a solar cell array, a power conditioner interposed between the solar cell array and a power system, and the solar cell. A solar power generation system comprising: a power meter that measures at least one of a power amount generated by the array and a power amount supplied from the solar cell array to the power system via the power conditioner And a meteorological information distribution server device that distributes meteorological information for each observation point including measured values of solar radiation and temperature values at each observation point, the watt-hour meter, the meteorological information distribution server device, and the network A photovoltaic power generation monitoring method by a photovoltaic power generation monitoring system having a connected photovoltaic power generation monitoring server device, wherein the photovoltaic power generation monitoring server device The power point information indicating the amount of power measured by the watt hour meter of the solar power generation system is acquired from the solar power generation system, and the observation point closest to the installation destination of the solar power generation system from the weather information distribution server device The first process of acquiring the weather information and the amount of power indicated by the power information acquired by the solar power generation monitoring server device in the first process are set as the actual power generation amount of the solar power generation system. The amount of power obtained by applying the measured value of solar radiation and the measured value of temperature in the weather information acquired in step 1 to a predetermined power amount calculation formula is assumed as the estimated power generation amount of the solar power generation system, and A determination process is performed to determine whether there is an abnormality in the power generation status of the photovoltaic power generation system based on a relationship between a difference or ratio between the power generation amount and the assumed power generation amount and a value set in advance as an abnormal power generation coefficient. A second step of transmitting an alert message to an address set in advance as a notification destination of the power generation status of the solar power generation system when it is determined by the determination processing that the power generation status of the solar power generation system is abnormal A method for monitoring photovoltaic power generation is provided.

  In the present invention, the power generation amount indicated by the power amount information transmitted from the solar power generation system is set as the actual power generation amount of the solar power generation system, and the temperature and solar radiation amount in the weather information transmitted from the weather information distribution server device are set to a predetermined amount. The amount of power obtained by acting on the calculation formula is assumed as the estimated power generation amount of the photovoltaic power generation system. Then, based on these power generation amounts, it is determined whether there is an abnormality in the power generation status of the photovoltaic power generation system. If it is determined that an abnormality has occurred in the power generation status, an alert is sent to a preset e-mail address. Send a message. Therefore, according to the present embodiment, it is possible to provide a mechanism for monitoring whether or not the photovoltaic power generation system is generating power as originally planned.

It is a figure showing the whole solar power generation monitoring system composition which is one embodiment of the present invention. It is a figure which shows schematic structure of the solar power generation monitoring server apparatus of the same system. It is a data structure figure of table TB1 of the photovoltaic power generation server apparatus of the same system. It is a data structure figure of table TB2 of the photovoltaic power generation server apparatus of the same system. It is a data structure figure of table TB3 of the photovoltaic power generation server apparatus of the same system. It is a data structure figure of table TB4 of the photovoltaic power generation server apparatus of the same system. It is a data structure figure of table TB5 of the photovoltaic power generation server apparatus of the same system. It is a data structure figure of table TB6 of the photovoltaic power generation server apparatus of the same system. It is a flowchart which shows the setting process in the same system. It is a figure which shows the 1st setting screen in the system. It is a figure which shows the 2nd setting screen in the system. It is a flowchart which shows the monitoring process in the system. It is a figure which shows the processing content of the determination process in the same system. It is a flowchart which shows the electric power generation status report delivery process in the same system. It is a figure which shows an example of the content of the daily power generation condition report information in the same system. It is a figure which shows an example of the content of the weekly power generation status report information in the same system. It is a figure which shows an example of the content of the monthly power generation status report information in the same system. It is a figure which shows an example of the content of the power generation status report information per year in the system. It is a flowchart which shows the signage screen provision process in the system. It is a figure which shows the signage screen in the system. It is a figure which shows the signage screen in the system.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
FIG. 1 is a diagram showing an overall configuration of a photovoltaic power generation monitoring system that realizes a photovoltaic power generation monitoring method according to an embodiment of the present invention. This system includes a photovoltaic power generation system 1-m (m = 1 to M, m is an index indicating a photovoltaic power generation system, M is the total number of photovoltaic power generation systems), a weather information distribution server device 60, and a monitoring target. And a solar power generation monitoring server device 70.

Each of the photovoltaic power generation systems 1-m (m = 1 to M) includes a solar cell array 2 and a power conditioner 3-i (i = 1 to _{L P} , i is a power conditioner in the photovoltaic power generation system). index indicating the, the L _P has a power total conditioner) in photovoltaic systems, the current collector plate 4, the smart meter 5, and a 3G communication module 6. The solar cell array 2 of each solar power generation system 1-m has the same number L _P (L _P = 4 in the example of the solar power generation system 1-M in FIG. 1) as the power conditioner 3-i. 7-i are arranged. Each of the solar cell strings 7-i (i = 1 to L _P ) is connected in series with L _S (L _S = 5 in the example of the photovoltaic power generation system 1-M in FIG. 1) solar cell modules MD. It is a thing. Each of the solar cell strings 7-i (i = 1 to _{L P} ) of each photovoltaic power generation system 1-m is connected in parallel to the power system via the power conditioner 3-i and the current collector panel 4. .

The power conditioner 3-i (i = 1 to _{L P} ) is a device that serves as an inverter. Each of the power conditioners 3-i (i = 1 to _{L P} ) performs a process of converting the DC power of the solar cell string 7-i into AC power and supplying the converted power to the current collector panel 4. The electric power supplied to the current collector 4 is supplied (sold) to the electric power system. Each of the power conditioners 3-i (i = 1 to _{L P} ) measures the current, voltage, and amount of AC power converted by the power conditioner in units of one hour, and the current, voltage, and amount information DE Processing to output as _ST- i is performed. Current power conditioner _{3-i (i = 1~L P} ) is output, voltage, power consumption information _{DE ST -i (i = 1~L P} ) is the sun from the 3G communication module 6 via the Internet 90 It is sent to the photovoltaic power generation monitoring server device 70.

The smart meter 5 is a device that serves as a watt hour meter that measures the amount of power supplied (sold) to the power system from the power conditioner 3-i via the current collector 4. Smart meter 5, the amount of power supplied from the current collector plate 4 to the power system to (kWh) and total electricity on an hourly basis, performs a process of outputting the power consumption information DE _G. The power consumption information DE _G is sent from the 3G communication module 6 via the Internet 90 to the solar power generation monitoring server device 70.

The weather information distribution server device 60 is a server device that operates under the management of Weathernews (registered trademark). The meteorological information distribution server device 60 includes information DM _T indicating the latest measured values of temperature at each observation base SP-n (n = 1 to N, n is an index of the observation base, and N is the total number of observation bases) throughout the country. information indicating the measured value of solar radiation DM _S, and the process of distributing weather information DM for each observation site SP-n comprising a set of information DM _T indicating the weather every hour performed.

  The photovoltaic power generation monitoring server device 70 is a server device that operates under the management of the business operator Z that performs the power generation status monitoring service. The photovoltaic power generation monitoring server device 70 performs four processes: a setting process, a monitoring process, a power generation status report distribution process, and a signage screen providing process.

  The setting process receives various setting information related to the monitoring contents of the solar power generation system 1-m from the terminal (PC or smart phone) of the person in charge of the customer C-m of the owner of the solar power generation system 1-m. This is a process of storing in a corresponding table in the database DB.

Monitoring process, the power generation amount indicated by the power consumption information DE _G transmitted from the photovoltaic system 1-m and actual power generation amount E _ph of the latest 1 hour photovoltaic system 1-m, photovoltaic power generation system 1 latest power amount information transmitted from _{-m DE ST -i (i = 1~L} P) solar in photovoltaic systems 1-m power generation amount indicated by the cell string _{7-i (i = 1~L P} ) of the 1 hour of actual power generation amount _{E STph -i (i = 1~L P} ), the following equation temperature _{T CR} and solar radiation Gs in weather information DM sent from the weather information distribution server device 60 (5) the power amount E obtained by acting with the latest 1 hour assumed power generation amount _{E ph} 'photovoltaic systems 1-m, these power generation amount _{E ph, E STph -i (i} = 1~L P) , Power generation of solar power generation system 1-m based on E _ph ' This is a process of transmitting an alert message to the e-mail address of the customer C-m when it is determined whether there is an abnormality in the situation and it is determined that there is an abnormality in the solar power generation system 1-m.

E = [K _md × η _IND × {1 + α _Pmax (T _CR −25) / 100}] / Gs × P _AS × H _AM × β (5)
K _md in the equation (5) is a product of coefficients K _HD , K _PD , K _PA , and K _PM depending on the solar cell module MD in the above equation (3). Further, η _IND in the equation (5) is the loss coefficient η _IND in the above equation (3). Further, α _Pmax in the equation (5) is the temperature coefficient α _Pmax in the above equation (4). Also, _{H AM} in equation (5) is a rated output of the solar cell module MD. Β in Equation (5) is a correction value that depends on the installation environment of the solar cell module MD. Here, in the calculation of the assumed power generation amount E _ph ′ in the present embodiment, individual values corresponding to the installation environment of the photovoltaic power generation system 1-m are applied as the coefficients K _md , η _IND , α _Pmax , β. Details will be described later.

  The power generation status report monitoring process is a power generation status report information including a graph of the actual power generation amount E and the estimated power generation amount E ′ for each unit of time of one day, one week, one month, and one year in the photovoltaic power generation system 1-m. This is a process of periodically generating a DR and transmitting an e-mail message attached with the power generation status report information DR to the e-mail address of the customer C-m.

  The signage screen provision process is the screen data (HTML (Hyper Text Markup Language) data) of the signage screen that embeds information related to the latest power generation status in the solar power generation system 1-m (the amount of solar radiation, actual power generation, and weather). This is a process of generating and transmitting the screen data of the signage screen to the requesting terminal in response to the request from the terminal of the customer C-m. Details of these four processes will be described later.

  As shown in FIG. 2, the photovoltaic power generation monitoring server device 70 includes a communication interface 71, a CPU 72, a RAM 73, a ROM 74, a hard disk 75, a display 76, a mouse 77, and a keyboard 78. The communication interface 71 transmits / receives data to / from devices connected to the Internet 90. The CPU 72 executes various programs stored in the ROM 74 and the hard disk 75 while using the RAM 73 as a work area. The ROM 74 stores IPL (Initial Program Loader) and the like. The hard disk 75 stores a database DB. The database DB has tables TB1, TB2, TB3, TB4, TB5, and TB6.

  FIG. 3 is a diagram conceptually showing the data structure of the table TB1. This table TB1 is for storing specification information of various solar cell modules sold by manufacturers. One record constituting one piece of specification information in this table TB1 includes “manufacturer”, “model number”, “maximum voltage”, “maximum current”, “maximum output”, “period”, “guarantee lower limit value”, “yearly” The fields of “Attenuation rate”, “Temperature coefficient (May-May, September-November)”, “Temperature coefficient (May-August)”, “Temperature coefficient (December-February)”, “Other loss coefficient” Have. The contents of each field are as follows.

a1. Manufacturer This field indicates the name of the manufacturer of the solar cell module.
b1. Model Number This field indicates the model number of the solar cell module.
c1. Maximum voltage This field indicates the maximum output operating voltage (V) of the solar cell module.
d1. Maximum Current This field indicates the maximum output operating current (A) of the solar cell module.
e1. Maximum Output This field indicates the nominal maximum output (W) of the solar cell module.
f1. Period This field indicates the output guarantee period (year) of the solar cell module.
g1. Guaranteed Lower Limit Value This field indicates the guaranteed lower limit value (%) of the solar cell module.
h1. Annual decay rate This field indicates the annual decay rate (%) of the solar cell module.
i1. Temperature coefficient (3-5 May, 9-11 November)
This field is a temperature coefficient applied to the calculation of the assumed power generation amount in the period from March to May or from September to November in the solar cell module (the solar cell is assumed to correspond to α _Pmax in the above equation (5)). The coefficient published by the manufacturer of the module).
j1 Temperature coefficient (May-August)
This field is the temperature coefficient applied to the calculation of the assumed power generation amount in the period from May to August in the solar power generation module (the solar cell module vendor corresponding to α _Pmax in the above equation (5)). The coefficient published by the manufacturer).
k1. Temperature coefficient (December-February)
This field is the temperature coefficient applied to the calculation of the assumed power generation amount in the period from December to February in the solar cell module (the manufacturer of the solar cell module's vendor as equivalent to α _Pmax in the above equation (5)) Is a published coefficient).
l1. Other Loss Factor This field has been announced by the manufacturer of the solar cell module as the other loss factor (corresponding to K _md in Equation (5) above) applied to the calculation of the estimated power generation amount of the solar cell module. Coefficient).

  FIG. 4 is a diagram conceptually showing the data structure of the table TB2. This table TB2 is for storing the specification information of the inverters sold by the manufacturers. One record forming one piece of specification information in the table TB2 has fields of “manufacturer”, “model number”, “rated capacity”, and “conversion efficiency”. The contents of each field are as follows.

a2. Manufacturer This field indicates the name of the manufacturer of the inverter.
b2. Model Number This field indicates the model number of the inverter.
c2. Rated capacity This field indicates the rated capacity (kW) of the inverter.
d2. Conversion efficiency This field indicates the conversion efficiency of the power conditioner (the coefficient published by the manufacturer of the power conditioner as corresponding to η _IND in the above equation (4)).

  FIG. 5 is a diagram conceptually showing the data structure of the table TB3. This table TB3 is for storing customer information of each customer C-m (m = 1 to M) of the owner of the photovoltaic power generation system 1-m (m = 1 to M). One record constituting one piece of customer information in this table TB3 includes “power plant ID”, “owner ID”, “authorization number”, “power plant name”, “owner name”, “address”, “management” "Person name", "person in charge", "power generation start date", "number of monitoring meters", "total number of modules", "total power generation output", "mail address 1", "mail address 2", "phone number" ”,“ Emergency contact ”,“ FAX number ”,“ Contracted power company ”,“ Total amount installed ”,“ Power sales amount ”,“ Contract period ”,“ Estimated power generation (January) ”,“ Estimated power generation ( "February)", "Estimated power generation (March)", "Estimated power generation (April)", "Estimated power generation (May)", "Estimated power generation (June)", "Estimated power generation ( July), “Estimated power generation (August)”, “Estimated power generation (September)”, “Estimated power generation (October)”, “Estimated power generation (November)” “Estimated power generation (December)”, “Observation base”, “Monitoring start time”, “Monitoring end time”, “Login code”, “Password”, “Signage data acquisition interval”, “Power plant signage URL”, It has fields of “transmission timing setting” and “notification destination setting”. The contents of each field are as follows.

a3. Power plant ID
This field indicates the ID assigned by the operator Z to the solar power generation system 1-m of the customer Cm.
b3. Owner ID
This field indicates the ID assigned by the operator Z to the customer C-m.
c3. Certification number This field indicates the certification number obtained by the customer C-m from the country in the equipment certification procedure before the conclusion of the power supply contract.
d3. Power plant name This field indicates the name of the solar power generation system 1-m of the customer C-m.
e3. Owner name This field indicates the name of the customer C-m.
f3. Address This field indicates the address where the customer C-m's photovoltaic power generation system 1-m is installed.
g3. Manager name This field indicates the name of the manager of the photovoltaic power generation system 1-m in the customer C-m.
h3. Person in charge name This field indicates the name of the person in charge of the photovoltaic power generation system 1-m in the customer C-m.
i3. Power generation start date This field indicates the power generation start date of the solar power generation system 1-m of the customer Cm.
j3. Number of monitoring meters This field indicates the number of installed smart meters 5 in the solar power generation system 1-m of the customer Cm.
k3. Total number of modules This field indicates the total number of solar cell modules MD constituting the solar cell array 2 of the photovoltaic power generation system 1-m of the customer Cm.
l3. Total power output This field indicates the total power output (kW) of the solar power generation system 1-m of the customer C-m.
m3. Email address 1
This field indicates the first e-mail address to which the customer C-m is notified of the alert message and the power generation status report information DR.
n3. Email address 2
This field indicates the second e-mail address of the notification destination of the alert message and the power generation status report information DR in the customer C-m.
o3. Telephone number This field indicates the telephone number of customer C-m.
p3. Emergency Contact This field indicates the telephone number of customer C-m's emergency contact.
q3. FAX number This field indicates the FAX number of customer C-m.
r3. Contracted power company This field indicates the company name of the power company with which the customer C-m has signed a power supply contract.
s3. Total Installation This field indicates the total installation cost of the photovoltaic power generation system 1-m for the customer Cm.
t3. Amount of power sale This field indicates the amount of power sale in a power supply contract between the customer C-m and the power company.
u3. Contract period This field indicates the contract period of the power supply contract between the customer C-m and the power company.
v3 ₁ . Expected power generation (January)
This field indicates the predicted power generation amount in January estimated by the customer C-m from the statistical information of the temperature and solar radiation amount of the installation destination of the solar power generation system 1-m.
v3 ₂ . Expected power generation (February)
This field indicates the predicted power generation amount in February estimated by the customer C-m from the statistical information on the temperature and solar radiation of the installation destination of the solar power generation system 1-m.
v3 ₃ . Expected power generation (March)
This field indicates the predicted power generation amount in March estimated by the customer C-m from the statistical information on the temperature and solar radiation amount of the installation destination of the solar power generation system 1-m.
v3 ₄ . Expected power generation (April)
This field indicates the predicted power generation amount in April estimated by the customer Cm from the statistical information on the temperature and solar radiation of the installation site of the solar power generation system 1-m.
v3 ₅ . Expected power generation (May)
This field indicates the predicted power generation amount in May estimated by the customer C-m from the statistical information on the temperature and solar radiation amount of the installation destination of the solar power generation system 1-m.
v3 ₆ . Expected power generation (June)
This field indicates the predicted power generation amount in June estimated by the customer C-m from the statistical information on the temperature and solar radiation of the installation destination of the solar power generation system 1-m.
v3 ₇ . Expected power generation (July)
This field indicates the predicted power generation amount for July estimated by the customer C-m from the statistical information on the temperature and the amount of solar radiation at the installation location of the solar power generation system 1-m.
v3 ₈ . Expected power generation (August)
This field indicates the predicted power generation amount in August estimated by the customer Cm from the statistical information of the temperature and solar radiation amount of the installation site of the solar power generation system 1-m.
v3 ₉ . Expected power generation (September)
This field indicates the predicted power generation amount for September estimated by the customer Cm from the statistical information on the temperature and solar radiation amount of the installation destination of the solar power generation system 1-m.
v3 ₁₀ . Expected power generation (October)
This field indicates the predicted power generation amount in October estimated by the customer C-m from the statistical information on the temperature and solar radiation of the installation site of the solar power generation system 1-m.
v3 ₁₁ . Expected power generation (November)
This field indicates the predicted power generation amount for November estimated by the customer Cm from the statistical information on the temperature and solar radiation of the installation destination of the solar power generation system 1-m.
v3 ₁₂ . Expected power generation (December)
This field indicates the predicted power generation amount in December estimated by the customer Cm from the statistical information on the temperature and solar radiation amount of the installation destination of the solar power generation system 1-m.
w3. Observation Base This field indicates the name of the observation base SP-n closest to the installation destination of the solar power generation system 1-m of the customer Cm.
x3. Monitoring start time This field indicates the start time of monitoring time in the solar power generation system 1-m of the customer Cm (usually at 4 am).
y3. Monitoring end time This field indicates the end time (usually 10 pm) of the monitoring time in the solar power generation system 1-m of the customer C-m.
z3. Login Code This field indicates the login code assigned by the operator Z to the customer C-m.
α3. Password This field indicates a login password assigned by the operator Z to the customer C-m.
β3. Signage Data Acquisition Interval This field indicates the information acquisition interval (usually 75 seconds) when the customer C-m browses the signage screen from the terminal.
γ3. Power station signage URL
This field is the URL of the signage screen of the customer Cm (specifically, a URL in which a character string unique to the customer Cm is added to the end of the path of the screen data storage location in the hard disk 75) Indicates.
δ3. Transmission timing setting This field is used to set the transmission timing of the power generation status report information DR (specifically, four options of “daily”, “weekly”, “monthly”, “yearly”, or any combination thereof). Show.
ε3. Notification destination setting This field indicates the setting of the notification destination of the alert message and the power generation status report information DR (specifically, the email address of m3, the email address of n3, or both).

  FIG. 6 is a diagram conceptually showing the data structure of the table TB4. This table TB4 is for storing each installation environment information of the photovoltaic power generation system 1-m (m = 1 to M). One record constituting one installation environment information in this table TB4 includes “power plant ID”, “power plant site ID”, “power plant site name”, “module model number”, “PCS model number”, “series number”. , “Parallel number”, “IP address”, “MAC address”, “Port number”, “Module phone number”, “Communication connection method”, “Operation monitoring start date / time”, “Communication monitoring meter initial value”, “Abnormal” It has fields of “power generation coefficient”, “continuous abnormal power generation time”, and “number of data acquisition errors”. The contents of each field are as follows.

a4. Power plant ID
This field indicates the ID of the photovoltaic power generation system 1-m.
b4. Power plant site ID
This field indicates the site ID of the signage screen unique to the photovoltaic power generation system 1-m.
c4. Power plant site name This field indicates the site name of the signage screen unique to the photovoltaic power generation system 1-m.
e4. Module Model Number This field indicates the model number of the solar cell module MD in the photovoltaic power generation system 1-m.
f4. PCS Model Number This field indicates the model number of the power conditioner 3-i (i = 1 to _{L P} ) in the photovoltaic power generation system 1-m.
g4. Number of Series This field indicates the number L _S of the solar cell modules MD forming one solar cell string 7-i in the solar cell array 2 of the photovoltaic power generation system 1-m.
h4. Parallel number This field indicates the total number _{L P} of the solar cell string 7-i constituting the solar cell array 2 for photovoltaic systems _{1-m (i = 1~L P} ).
i4. IP address This field indicates the IP address of the smart meter 5 of the photovoltaic power generation system 1-m.
j4. MAC address This field indicates the MAC address of the smart meter 5 of the photovoltaic power generation system 1-m.
k4. Port number This field indicates the port number of the smart meter 5 of the photovoltaic power generation system 1-m.
l4. Module telephone number This field indicates the telephone number of the 3G communication module 6 of the photovoltaic power generation system 1-m.
m4. Communication connection method This field indicates a communication connection method (specifically, either IP or 3G) in the photovoltaic power generation system 1-m.
n4. Operation monitoring start date and time This field indicates the date and time (date and time) when the business operator Z started the monitoring service of the photovoltaic power generation system 1-m.
o4. Communication monitoring meter initial value This field shows the measured value of the electric energy of the smart meter 5 at the time when the business operator Z starts the monitoring service of the photovoltaic power generation system 1-m.
p4. Abnormal Power Generation Coefficient This field indicates an abnormal power generation coefficient that is a coefficient used as an index for determining whether there is an abnormality in the power generation status of the photovoltaic power generation system 1-m.
q4. Continuous abnormal power generation time This field indicates the number of days in which an abnormal state continues as a condition for alert message notification.
r4. Data acquisition misses this field indicates the number of power amount information _{DE G,} data acquisition errors as an index of determination of the presence or absence of the acquisition status abnormality _{DE ST -i (i = 1~L P} ).

  FIG. 7 is a diagram conceptually showing the data structure of the table TB5. This table TB5 is for storing each power generation amount correction value group of the photovoltaic power generation system 1-m (m = 1 to M). One record forming one set of power generation amount correction value group in this table includes “power plant ID”, “annual collective correction value”, “January correction value”, “February correction value”, “March correction value”. ”,“ April correction value ”,“ May correction value ”,“ June correction value ”,“ July correction value ”,“ August correction value ”,“ September correction value ”,“ October correction value ” , “November correction value”, “5 o'clock to 8 o'clock correction value”, “8 o'clock to 11 o'clock correction value”, “11 o'clock to 14 o'clock correction value”, “14 o'clock to 17 o'clock correction value”, “17 It has a field of “hour-20 hour correction value”. The contents of each field are as follows.

a5. Power plant ID
This field indicates the ID of the photovoltaic power generation system 1-m.
b5. Annual collective correction value This field is a power generation monitoring correction value that is commonly applied to the calculation of the assumed power generation amount for any period from January to December in the photovoltaic power generation system 1-m (in β in Equation (5) above). (Corresponding correction value).
c5.1 January Correction Value This field indicates a power generation monitoring correction value (correction value corresponding to β in the above equation (5)) applied to the calculation of the assumed power generation amount in January in the solar power generation system 1-m.
d5.2 February Correction Value This field indicates a power generation monitoring correction value (correction value corresponding to β in the above equation (5)) applied to the calculation of the estimated power generation amount in February in the solar power generation system 1-m.
e5.3 March Correction Value This field indicates a power generation monitoring correction value (correction value corresponding to β in the above equation (5)) applied to the calculation of the assumed power generation amount in March in the solar power generation system 1-m.
f5.4 April Correction Value This field indicates a power generation monitoring correction value (correction value corresponding to β in the above equation (5)) applied to the calculation of the estimated power generation amount in April in the solar power generation system 1-m.
g5.5 May Correction Value This field indicates a power generation monitoring correction value (correction value corresponding to β in the above equation (5)) applied to the calculation of the estimated power generation amount in May in the solar power generation system 1-m.
h5.6 June Correction Value This field indicates a power generation monitoring correction value (correction value corresponding to β in the above equation (5)) applied to the calculation of the estimated power generation amount in June in the solar power generation system 1-m.
i5.7 July Correction Value This field indicates a power generation monitoring correction value (correction value corresponding to β in the above equation (5)) applied to the calculation of the estimated power generation amount in July in the solar power generation system 1-m.
j5.8 August Correction Value This field indicates a power generation monitoring correction value (correction value corresponding to β in the above equation (5)) applied to the calculation of the assumed power generation amount in August in the solar power generation system 1-m.
k5.9 September Correction Value This field indicates a power generation monitoring correction value (correction value corresponding to β in the above equation (5)) applied to the calculation of the assumed power generation amount in September in the solar power generation system 1-m.
l5.October correction value This field indicates a power generation monitoring correction value (correction value corresponding to β in the above equation (5)) applied to the calculation of the estimated power generation amount in October in the solar power generation system 1-m.
m5.1 November correction value This field indicates a power generation monitoring correction value (correction value corresponding to β in the above equation (5)) applied to the calculation of the estimated power generation amount for November in the photovoltaic power generation system 1-m.
n5.1 December Correction Value This field indicates a power generation monitoring correction value (correction value corresponding to β in the above equation (5)) applied to the calculation of the estimated power generation amount in December in the solar power generation system 1-m.
o5.5 o'clock to 8 o'clock correction value This field is a power generation monitoring correction value (correction value corresponding to β in the above equation (5)) applied to the calculation of the estimated power generation amount in December in the photovoltaic power generation system 1-m. Indicates.
p 5.8 o'clock to 11 o'clock correction value This field is a power generation monitoring correction value (β in equation (5) above) applied to the calculation of the estimated power generation at each time point from 8 o'clock to 11 o'clock in the photovoltaic power generation system 1-m. (Correction value corresponding to).
q5.11 am-14: 00 correction value This field is a power generation monitoring correction value (β in the above equation (5) applied to calculation of the estimated power generation at each time from 11:00 to 14:00 in the photovoltaic power generation system 1-m. (Correction value corresponding to).
r5.14 o'clock to 17:00 correction value This field is a power generation monitoring correction value (β in the above equation (5) applied to the calculation of the estimated power generation at each time point from 14:00 to 17:00 in the photovoltaic power generation system 1-m. (Correction value corresponding to).
s5.17 am-20:00 amendment value This field is a power generation monitoring amendment value (β in the above equation (5) applied to the calculation of the assumed power generation amount at each time from 17:00 to 20:00 in the photovoltaic power generation system 1-m. (Correction value corresponding to).

FIG. 8 is a diagram conceptually showing the data structure of the table TB6. This table TB6 is for storing each monitoring history information of the photovoltaic power generation system 1-m (m = 1 to M). One record constituting one piece of monitoring history information in this table has fields of “power plant ID” and “history”. The “history” field has serve fields of “date”, “actual power generation amount”, “assumed power generation amount”, “irradiation amount”, “temperature”, and “weather”. The contents of each field are as follows.
a6. Power plant ID
This field indicates the ID of the photovoltaic power generation system 1-m.
b6. Date This field indicates the date of the operation date of the photovoltaic power generation system 1-m.
c6. Actual power generation amount This field indicates the actual power generation amount E _pd for one day on the date b6.
To do.
d6. Assumed power generation amount This field indicates the assumed power generation amount E _pd ′ for one day on the date b6.
e6. Insolation amount This field indicates the amount of insolation per day on the date b6.
g6. Temperature This field indicates the average daily temperature on the date b6.
h6. Weather This field indicates the day's weather on the date b6.

  Next, the operation of this embodiment will be described. FIG. 9 is a flowchart showing the setting process. In this embodiment, the person in charge of the customer C-m who is the owner of the solar power generation system 1-m applies to the operator Z for the monitoring service of the solar power generation system 1-m, and the power plant ID, After receiving information such as the owner ID, power plant site ID, signage screen URL, etc. from the operator Z, log in to the first setting screen and the second setting screen of the solar power generation system 1-m from its own terminal, Registers various information necessary to start operation of the monitoring service.

  In FIG. 9, the customer C-m terminal transmits a message addressed to the URL of the screen data (HTML data) of the first setting screen (S1001). When the CPU 72 of the photovoltaic power generation monitoring server device 70 receives this message, it transmits a message including the screen data of the first setting screen (S1002). Upon receiving this message, the customer C-m terminal displays a first setting screen (S1003).

  FIG. 10 is a diagram showing a first setting screen. The first setting screen is for inputting various information to be registered as customer information in the table TB3. In the upper part of the first setting screen, a rectangular frame A1 labeled “power plant information” is displayed. Below the rectangular frame A1, there are registration fields B1 to B21. The registration columns B1 to B21 are divided into a left column and a right column. The left column of the registration columns B1 to B21 is a registration item name (power plant ID, owner ID, power plant ID, owner ID, facility certification number, power plant name, power plant owner name, power plant address, power plant Name of manager, name of person in charge of power plant, date of start of power generation, number of monitoring meters, total number of modules, total power output (kW), power plant mail address 1, power plant mail address 2, power plant phone number, power plant emergency This is a display field for displaying contact information, power plant FAX number, contracted power company, total installation amount (yen), power sales amount (yen / tax included), contract period (year). The right column of the registration columns B1 to B21 is an input column for inputting registration contents.

  Here, in the right column of the registration column B10, the number of installed smart meters 5 (1 in the example of FIG. 10) that the customer C-m has declared to the operator Z when applying for the monitoring service is embedded. In the right column of the registration column B11, the number of installed solar cell modules MD (24 in the example of FIG. 10) declared by the customer C-m to the operator Z when applying for the monitoring service is embedded. In the right column of the registration column B12, the total power generation output (5040 in the example of FIG. 10) of the solar power generation system 1-m that the customer C-m has declared to the operator Z when applying for the monitoring service is embedded.

  Below the registration field B12, a rectangular frame A2 labeled “Estimated power generation” is displayed. On the right side of the rectangular frame A2, there is a display field A3. In the display column A3, characters of “annual expected power generation” are embedded. There is a rectangular frame A4 to the right of the display field A3. In the display area below the rectangular frame A2, there are registration fields B22 to B33. Registration columns B22 to B33 are divided into a left column and a right column. The left column of the registration columns B22 to B33 is a registration item name (January, February, March, April, May, June, July, August, September, October, November, December). The left column is an input column for inputting registration contents.

  Below the registration field B27, a rectangular frame A5 labeled “operation monitoring setting information” is displayed. The display area below the rectangular frame A5 includes registration fields B34 to B40. Registration columns B34 to B40 are divided into a left column and a right column. The left column of the registration fields B34 to B40 is the registration item name (weather news observation base, monitoring start time, monitoring end time, site management login code, site management password, signage data acquisition interval (minutes), power plant signage URL) The right column is an input column for inputting registration contents.

  Here, the character “4 o'clock” is embedded in the right column of the registration column B 35, and the character “20 o'clock” is embedded in the right column of the registration column B 36. A character string unique to the customer Cm (ab2c9dfe618d44fda94a8a20f62d6c3b94 in the example of FIG. 10) is embedded below the input frame A6 in the right column of the registration column B40.

  Below the registration field B38, a rectangular frame A7 marked "Send Monitoring Report Mail / Destination" is displayed. The display area below the rectangular frame A7 includes registration fields B41 and B42. Registration columns B41 and B42 are divided into a left column and a right column. The left column of the registration columns B41 and B42 is a display column for displaying registration item names (transmission timing, notification destination email address), and the right column is an input column for inputting registration contents. There are four check boxes A8, A9, A10, and A11 in the right column of the registration column B41. On the right side of the check box A8, “daily” is written. On the right side of the check box A9, “weekly” is written. On the right side of the check box A10, the characters “monthly” are written. On the right side of the check box A11, characters “every year” are written. There are two check boxes A12 and A13 in the right column of the registration column B42. On the right side of the check box A12, characters of “power plant mail address 1” are written. On the right side of the check box A13, characters of “power plant mail address 2” are written.

  In this screen, the person in charge of the customer Cm inputs the corresponding information in each column, checks the desired one of the check boxes A8 to A13, and then performs an operation to instruct registration. When the operation of instructing registration is performed, the terminal of the person in charge of the customer C-m transmits a message including the input information of each column B1 to B42 at that time to the photovoltaic power generation monitoring server device 70 (S1004).

  When receiving this message, the CPU 72 of the photovoltaic power generation monitoring server device 70 stores the information in the message in the corresponding record in the table TB3 (S1005). More specifically, in this step S1005, the CPU 72 of the photovoltaic power generation monitoring server device 70 uses the ID input in the registration field B1 from each record of the table TB3 as the value of the field of “power plant ID”. Search for things.

  The CPU 72 registers the “owner ID” field in the record retrieved from the table TB3 as input information in the registration field B2, the “authorization number” field as input information in the registration field B3, and the “power plant name” field. The input information in the field B4, the “owner name” field as the input information in the registration field B5, the “address” field as the input information in the registration field B6, and the “administrator name” field as the input information in the registration field B7 Information, the “person in charge” field as input information in the registration field B8, the “power generation start date” field as input information in the registration field B9, and the “number of monitoring meters” field to the right of the registration field B10 The same information as that embedded in the column, the “total number of modules” field as the information embedded in the right column of the registration column B11, and the “total power output” field. The same information as those embedded in the right column of the registration field B12.

  Further, the CPU 72 uses the “mail address 1” field in the record retrieved from the table TB3 as input information in the registration field B13, the “mail address 2” field as input information in the registration field B14, and the “phone number” field. Is the input information of the registration field B15, the field of "Emergency contact" is the input information of the registration field B16, the field of "FAX number" is the input information of the registration field B17, and the field of "Contract power company" is the registration field The input information of B18, the “total amount of installation” field as input information of the registration field B19, the “power sale amount” field as input information of the registration field B20, and the “contract period” field as input information of the registration field B21 To do.

  Further, the CPU 72 uses the field of “expected power generation (January)” in the record retrieved from the table TB3 as input information in the registration field B22, and uses the field of “expected power generation (in February)” as input information in the registration field B23. The field of “Estimated power generation (March)” is input information in the registration field B24, the field of “Estimated power generation (April)” is input information in the registration field B25, and “Estimated power generation (May)” ”As input information for the registration field B 26,“ Estimated power generation (June) ”as input information for the registration field B 27, and“ Estimated power generation (July) ”as input information for the registration field B 28. The field of “Estimated power generation (August)” is the input information of the registration field B29, the field of “Estimated power generation (September)” is the input information of the registration field B30, and “Estimated power generation (October)” "" The field is the input information of the registration field B31, the field of “Estimated power generation (November)” is the input information of the registration field B32, and the field of “Estimated power generation (December)” is the input information of the registration field B33. .

  In addition, the CPU 72 sets the “observation base” field in the record retrieved from the table TB3 as input information in the registration field B34 and the “monitoring start time” field as the same information embedded in the right field of the registration field B35. The “monitoring end time” field is the same information as that embedded in the right column of the registration column B36, the “login code” field is the input information of the registration column B37, and the “password” field is the registration column B38. As input information, the “signage data acquisition interval” field is input information in the registration field B39, and the “power plant signage URL” field is connected to the end of the input characters in the registration field B40 and the character string below the same field. The “transmission timing” field is set to a value corresponding to the selected contents of the check boxes A8, A9, A10, and A11. , To a value corresponding to the field selection of the check box A12, A13 the "notification destination mail address."

  In FIG. 9, the terminal of the customer C-m who owns the photovoltaic power generation system 1-m transmits a message whose destination is the URL of the screen data (HTML data) of the second setting screen (S1006). When receiving this message, the CPU 72 of the photovoltaic power generation monitoring server device 70 transmits a message including the screen data of the first setting screen (S1007). Upon receiving the message, the customer C-m terminal displays the second setting screen (S1008).

  FIG. 11 is a diagram showing a second setting screen. The second setting screen is for inputting various information to be registered as customer information in the table TB4. A rectangular frame C <b> 1 labeled “Power plant (site) detailed information” is displayed in the upper part of the first setting screen. In the display area below the rectangular frame C1, there are registration fields D1 to D31. The registration columns D1 to D31 are divided into a left column and a right column. The left columns of the registration fields D1 to D31 are registered item names (owner, power plant, power plant site ID, power plant site name, module manufacturer name, maximum output operating voltage (V), output guarantee period (year), module Model number, maximum output operating current (A), guaranteed lower limit value (%), nominal maximum output (W), annual decay rate (%), temperature coefficient (3-5 May, 9-11 May), temperature count (6- August), temperature coefficient (December-February), number of modules, number of module outputs (kW), PCS manufacturer name, PCS rated capacity (kW), PCS conversion efficiency (%), PCS model number, other loss factors (%) ), Serial number, parallel number, smart meter IP address, smart meter MAC address, smart meter port number, communication module phone number, communication connection method, operation monitoring start date and time, operation monitoring meter initial value) And it has a display field. The right column of the registration columns D1 to D31 is an input column for inputting registration contents.

  A pull-down menu including the site ID of each signage screen is embedded in the right column of the power plant site ID registration column D3 on this screen. Also, a pull-down menu including the manufacturer name of each manufacturer of the solar cell module is embedded in the right column of the module manufacturer name registration column D5. Further, a pull-down menu including model numbers of various solar cell modules is embedded in the right column of the module model number registration column D8. Also, a pull-down menu including the manufacturer name of each manufacturer of the power conditioner is embedded in the right column of the PCS manufacturer name registration column D18. Also, a pull-down menu including model numbers of various power conditioners is embedded in the right column of the PCS model number registration column D21.

  Further, in the right column of the registration column D1 on this screen, the same characters (Setagaya Co., Ltd. in the example of FIG. 11) as those input in the registration column B5 of the first registration screen are embedded. In the right column of the registration column D2, the same characters (SES Setagaya in the example of FIG. 11) as those registered in the registration column B4 of the first registration screen are embedded. In addition, in the right column of the registration columns D6, D7, D9, D10, D11, D12, and D22, the specification information (specifically, table) of the model number of the first selection item of the pull-down menu of the registration column D8 is displayed. “Maximum output operating voltage”, “Output guaranteed period”, “Maximum output operating current”, “Warranty lower limit value”, “Nominal maximum output”, “Annual decay rate”, “Temperature coefficient” in the record of the relevant solar cell module of TB1 (3-5 May, 9-11 May) ”,“ Temperature Count (6-8 August) ”,“ Temperature Coefficient (December-February) ”,“ Other Loss Coefficient ”field values) are embedded Yes.

  In the right column of the registration column D16 on this screen, the same characters (24 in the example of FIG. 11) as those in the registration column B11 of the first registration screen are embedded. In the right column of the registration column D17, the same characters (5040 in the example of FIG. 11) as those in the registration column B12 of the first registration screen are embedded. In addition, in the right column of the registration columns D19 and D20, the specification information of the power conditioner of the model number of the first selection item of the pull-down menu of the registration column D18 (specifically, “in the record of the power conditioner in the table TB2“ “PCS rated capacity (kW)” and “PCS conversion efficiency (%)” field values) are embedded. The right column of the registration column has two radio buttons C2 and C3 arranged on the left and right, and the characters “IP” and “3G” are written on the right of each.

  Below the registration fields D30 and D31, a rectangular frame C4 written as “operation monitoring information” is displayed. The display area below the rectangular frame C4 includes registration fields D32 to D52. Registration columns D32 to D52 are divided into a left column and a right column. The left column of the registration fields D32 to D52 is the registration item name (abnormal power generation coefficient (%), continuous abnormal power generation time (days), number of data acquisition errors (times), annual collective power generation monitoring correction value (%), January power generation Monitoring correction value (%), February power generation monitoring correction value (%), March power generation monitoring correction value (%), April power generation monitoring correction value (%), May power generation monitoring correction value (%), June power generation Monitoring correction value (%), July power generation monitoring correction value (%), August power generation monitoring correction value (%), September power generation monitoring correction value (%), October power generation monitoring correction value (%), November power generation Monitoring correction value (%), December power generation monitoring correction value (%), 5-8 hour power generation monitoring correction value (%), 8-11 hour power generation monitoring correction value (%), 11-14 hour power generation monitoring correction value ( %), 14-17 hour power generation monitoring correction value (%), 17-20 hour power generation monitoring correction value (%)). The right column of the registration columns D32 to D53 is an input column for inputting registration contents.

  In this screen, the person in charge of the customer C-m performs an operation for instructing registration after inputting the corresponding information in each column. The procedure for inputting information on the screen is as follows. First, the person in charge of the customer C-m expands the pull-down menu of the registration field D3, and selects the site ID guided to the business operator Z from the selection items of this menu. Next, the site name of the signage screen determined by the user is entered in the registration field D4. Moreover, the pull-down menu of the registration column D5 is expanded, and the manufacturer of the solar cell module MD of the own photovoltaic power generation system 1-m is selected from the selection items of this menu. Moreover, the pull-down menu of the registration column D8 is expanded, and the same model number as that of the solar cell module MD of the own photovoltaic power generation system 1-m is selected from the selection items of this menu. When the model number in the registration field D8 is changed by this selection operation, the terminal of the customer C-m changes the information in the registration fields D6, D7, D9, D10, D11, D12, and D22 in accordance with the change of the model number. .

  Next, the person in charge of the customer C-m expands the pull-down menu of the registration field D18, and the same as that of the power conditioner 3-i of the own solar power generation system 1-m from the selection items of this menu. Select the model number. When the model number in the registration field D18 is changed by this selection operation, the terminal of the customer C-m changes the information in the registration fields D19 and D20 in accordance with the change of the model number.

Next, the person in charge of the customer C-m inputs the number L _S of the solar cell modules MD forming one solar cell string 7-i in the solar cell array 2 of the solar power generation system 1-m into the registration field D23. . Also, enter the number L _P of the solar cell string 7-i in the solar cell array 2 for photovoltaic systems 1-m to the registration field D24. Further, the IP address of the smart meter 5 of the photovoltaic power generation system 1-m is input into the registration field D25, the MAC address of the smart meter 5 is input into the registration field D26, and the port number of the smart meter 5 is input into the registration field D27. To do. Further, the telephone number of the 3G communication module 6 in the photovoltaic power generation system 1-m is input to the registration field D28, and one of the two buttons C2 and C3 in the registration field D29 is selected. Further, the monitoring start date and time of the power generation status of the photovoltaic power generation system 1-m is input to the registration field D30, and the measurement value of the smart meter 5 at this monitoring start date and time is input to the registration field D31.

  Next, the person in charge of the customer C-m inputs the abnormal power generation coefficient determined by himself / herself into the registration field D32. Moreover, the continuous abnormal power generation period determined by itself is input to the registration field D33.

  Further, the person in charge of the customer C-m inputs the correction value determined by himself / herself into the registration fields D34 to D52. Here, the correction values of the registration fields D34 to D52 are determined in consideration of the installation environment of the solar cell array 2 of the solar power generation system 1-m. For example, when the solar cell array 2 is installed at a position where the western sun hardly enters, the power generation amount of the solar cell array 2 is lower than usual in the time zone from afternoon to evening. In this case, the power generation amount correction value from 14:00 to 17:00 is set higher.

  When the operation of instructing the registration is performed on the second registration screen, the terminal of the person in charge of the customer C-m sends a message including the input characters of the registration fields D1 to D52 at that time to the photovoltaic power generation monitoring server device 70. Transmit (S1009). When receiving this message, the CPU 72 of the photovoltaic power generation monitoring server device 70 stores the information in the message in the corresponding record in the tables TB4 and TB5 (S1010). More specifically, in this step S1007, the CPU 72 of the photovoltaic power generation monitoring server device 70 sets the ID input in the registration field B1 from the records of the tables TB4 and TB5 as the value of the field of “power plant ID”. Search for what you want.

  The CPU 72 uses the “power plant site ID” field in the record retrieved from the table TB4 as input information in the registration field D3, the “power plant site name” field as input information in the registration field D4, and the “series number” field. Is the input information of the registration field D23, and the “number of parallel” field is the input information of the registration field D24.

  The CPU 72 uses the “IP address” field in the record retrieved from the table TB4 as input information in the registration field D25, the “MAC address” field as input information in the registration field D26, and the “port number” field as the registration field D27. The “module telephone number” field is input information in the registration field D28, the “communication connection method” field is a value corresponding to the selected one of the buttons C2 and C3 in the registration field D29, and “ The field of “operation monitoring start date / time” is the input information of the registration column D30, and the field of “communication monitoring meter initial value” is the input information of the registration column D31.

  The CPU 72 uses the “abnormal power generation coefficient” field in the record retrieved from the table TB4 as input information in the registration field D32, the “continuous abnormal power generation period” field as input information in the registration field D33, and “data acquisition error count”. The field is an input character in the registration field D34.

  The CPU 72 uses the “annual collective correction value” field in the record retrieved from the table TB5 as input information in the registration field D35, the “January correction value” field as input information in the registration field D36, and “February correction value”. Is the input information for the registration field D37, the "March correction value" field is the input information for the registration field D38, the "April correction value" field is the input information for the registration field D39, and the "May correction value" ”As input information for the registration field D40, the“ June correction value ”field as input information for the registration field D41, the“ July correction value ”field as input information for the registration field D42, and the“ August correction ”field. The “value” field is input information in the registration field D43, the “September correction value” field is input information in the registration field D44, and the “October correction value” field is input in the registration field D45. Information, the “November correction value” field as input information in the registration field D46, the “December correction value” field as input information in the registration field D47, and the “5-8 am correction value” field As the input information in the column D48, the field of “8 am-11am correction value” is the input information of the registration column D49, the field of “11 am-14am correction value” is the input information of the registration column D50, and “14:00 The “-17 o'clock correction value” field is used as input information in the registration field D51, and the “17: 00−20 hour correction value” field is used as input information in the registration field D52.

FIG. 12 is a flowchart showing the monitoring process. In FIG. 12, the CPU 72 of the photovoltaic power generation monitoring server device 70 has arrived information acquisition scheduled times (specifically, 5 o'clock, 6 o'clock ... 22:00) within the monitoring time (4 o'clock to 22:00). Each time (S1101: Yes), the electric energy information DE _G and DE _ST -i (i = 1 to _{L P} ) transmitted from the solar power generation system 1-m are acquired, and the weather information distribution server device 60 Observation base SP-n that is the weather information DM that is transmitted and is closest to the installation location of the photovoltaic power generation system 1-m (more specifically, “observation of the record of the photovoltaic power generation system 1-m in the table TB3) The weather information DM of the observation base indicated by the “base” field is acquired, and the acquired information DE _G , DE _ST -i (i = 1 to _{L P} ) and DM are stored in the RAM 73 (S1102).

The CPU 72 of the solar power generation monitoring server device 70 includes the latest actual power generation amount E _ph and the assumed power generation amount E _ph ′ for one hour in the solar power generation system 1-m, and the solar cell string in the solar power generation system 1-m. 7-i executes processing for calculating the latest one hour of actual power generation amount _{E STph -i (i = 1~L P} ) of _{(i = 1~L P) (S1103} ).

In more detail, in step S1103, CPU 72 of the solar power generation monitoring server device 70, the amount of power indicated by the power consumption information DE _G obtained in step S1102 and the actual power generation amount _{E ph.} Moreover, taking out weather information DM information from DM _S and DM _T obtained in step S1102, the power amount E obtained the temperature indicated by solar radiation and information DM _T indicated by the information DM _S by substituting supra formula (5) Assume an assumed power generation amount E _ph '. In addition, the amount of power indicated by each of the power amount information DE _ST -i (i = 1 to _{L P} ) acquired in step S1102 is used as the actual power generation amount E _STph of each solar cell string 7-i of the solar power generation system 1-m. -I.

Here, in this step S1102, individual values according to the installation environment of the photovoltaic power generation system 1-m are applied as the coefficients K _md , η _IND , α _Pmax , β. For example, when calculating the assumed power generation amount E _ph ′ at 13:00 on October 6 in a certain solar power generation system 1-100, the CPU 72 selects the solar power generation system 1-100 from each record of the table TB3. A search is made for a field whose ID is the value of the “power plant ID” field, and the output value of the “total power generation output” field of the retrieved record is read. Also, the CPU 72 searches the records of the table TB4 for the ID of the photovoltaic power generation system 1-100 as the field value of the “power plant ID”, and the “PCS model number” field of the searched field is searched. Read the model number. Next, the CPU 72 searches the records in the table TB2 for the PCS model number as the value of the “model number” field, and reads the coefficient of the “conversion efficiency” field of the retrieved record. Then, the coefficient of the field of “conversion efficiency” is the coefficient η _IND in the above equation (5), and the output value of the field of “total power generation output” is the rated output H _AM in the above equation (5).

Further, the CPU 72 searches the records of the table TB4 for the ID of the photovoltaic power generation system 1-100 as the value of the “power plant ID” field, and the “module model number” field of the searched record. Read the model number. The table TB1 is searched for a record having the module model number as the value of the “model number” field, and the coefficient of the “temperature coefficient (5 to August)” field of the retrieved record and the “other loss” are searched. Read the coefficient in the "Coefficient" field. The field coefficient of “temperature coefficient (May-August)” is the coefficient α _Pmax in the above equation (5), and the field coefficient of “other loss coefficient” is the coefficient K _md in the above equation (5).

  Further, the CPU 72 searches the records of the table TB5 for the ID of the photovoltaic power generation system 1-100 as the value of the “power plant ID” field, and sets the “annual collective correction value” of the searched records. The field correction value, the “June correction value” field correction value, and the “11: 00-14: 00 correction value” field correction value are read out, and the product of these three correction values is the correction value in equation (5) above. Let β.

The CPU 72 of the photovoltaic power generation monitoring server device 70 calculates the actual power generation amount E _ph and the assumed power generation amount E _ph ′ at all scheduled times (5 o'clock, 6 o'clock ... 22:00) within the monitoring time of one day (step S1104: Yes), history storage processing is performed (S1105). The history storage process is a process of storing the latest monitoring history information of the photovoltaic power generation system 1-m in the table TB6.

In the history storage process, the total of the actual power generation amount E _ph at each time point from 5:00 to 22:00 is set as the actual power generation amount E _pd for one day of today. Further, the sum of the assumed power generation amount E _ph ′ at each time point from 5 o'clock to 22:00 is assumed as the assumed power generation amount E _pd ′ for one day of today. Further, the total amount of solar radiation at each time point from 5:00 to 22:00 is defined as the daily solar radiation amount for today. Moreover, let the average of the temperature of each time from 5:00 to 22:00 be today's temperature. In addition, today's weather at 12:00 is assumed to be today's weather. Then, the ID of the photovoltaic power generation system 1-m is set to the field value of “power plant ID”, the actual power generation amount E _pd for today's day is set to the value of the field of “actual power generation amount”, and 1 Estimated power generation E _pd 'for the day is the value of the field of “Estimated power generation”, the amount of solar radiation for today's day is the value of the field of “Insolation”, and today's temperature is the field of the “Temperature” field. As a value, a record having today's weather as the value of the field “weather” is added to the table TB6.

  Next, the CPU 72 of the photovoltaic power generation monitoring server device 70 performs a determination process (S1106). This determination process is a process of determining whether there is an abnormality in the power generation status of the corresponding solar power generation system 1-m. The details of the determination process are as follows.

As shown in FIG. 13, the CPU 72 of the solar power generation monitoring server device 70 compares the ratio of the actual power generation amount E _pd for today's day and the estimated power generation amount E _pd ′ for today's day obtained in step S1105. Calculate E _pd / E _pd ′. Next, the CPU 72 of the solar power generation server device _calculates the total of the actual power generation amount E _STph -i at each time point from 5 o'clock to 11 o'clock for each solar cell string 7-i for one day of the solar cell string 7-i. The actual power generation amount E _STpd -i and the ratio of the actual power generation amounts E _STpd -i (i = 1 to _{L P} ) (in the example of FIG. 13, the actual power generation amount E _STpd −1 of the string 7-1 and the string 7 -2 actual power generation amount E _STpd -2 ratio E _STpd -1 / E _STpd -2, string 7-1 actual power generation amount E _STpd -1 and string 7-3 actual power generation amount E _STpd -3 _STpd- 1 / E _STpd- 3, _ratio of actual power generation amount _ESTpd- 2 of string 7-2 to actual power generation amount _ESTpd- 1 of string 7-1 _ESTpd- 2 / _ESTpd- 1, string 7-3 Actual power generation E _STpd -3 The ratio between the strings 7-1 of the actual power generation amount _{E STpd -1 E STpd -3 / E} STpd -1, and actual power generation amount _{E stpd} of actual power generation amount _{E stpd} -3 and string 7-2 strings 7-3 - 2 ratio E _STpd −3 / E _STpd −2).

Next, the CPU 72 of the solar power generation monitoring server device 70 records the solar power generation system 1-m in the table TB6 (the ID of the solar power generation system 1-m is the value of the field of “power plant ID”). Records) that have a time difference from today's date within a specified range (for example, within 3 days) and whose date is a “date” field, and the field of “actual power generation” of the retrieved record The ratio E _pd / E _pd (history) of the actual power generation amount E _pd for one day and the actual power generation amount E _pd for the current day is obtained.

  The CPU 72 of the solar power generation server device compares each ratio obtained as described above with the magnitude of the abnormal power generation coefficient of the solar power generation system 1-m. When the ratio is below the abnormal power generation coefficient over the number of days set as the continuous abnormal power generation time of the solar power generation system 1-m, the CPU 72 of the solar power generation monitoring server device 70 m is considered abnormal.

  When the CPU 72 of the photovoltaic power generation monitoring server device 70 determines that there is an abnormality in the power generation state of the photovoltaic power generation system 1-m in step S1106 (S1107: Yes), the electronic of the administrator of the photovoltaic power generation system 1-m. An alert message is transmitted to the mail address (S1108).

FIG. 14 is a flowchart showing power generation status report distribution processing. In FIG. 14, the CPU 72 of the photovoltaic power generation monitoring server device 70 receives the scheduled delivery time (for example, 0:00 every day) of the daily power generation status report information DR _pd (S1201: Yes), the customer C- Among the m, the one for which daily transmission is instructed by checking the check box A8 in the registration field 41 of the first setting screen is the notification destination of the power generation status report information DR _pd , and the individual power generation status report information DR for each notification destination An e-mail message with _pd attached is transmitted to each e-mail address (S1202).

FIG. 15 is a diagram illustrating an example of the contents of the daily power generation status report information DR _pd . In the step S1202, the a separate power status report information DR _pd for each notification destination by embedding individual information for each notification destination to each display field E1~E16 in daily power status report information DR _pd Template .

More specifically, the CPU 72 of the photovoltaic power generation monitoring server device 70 sets the ID of the photovoltaic power generation system 1-m of the customer C-m that is the notification destination to the “power plant ID” from among the records of the table TB3. A value to be searched is retrieved, and information on the fields of “power plant ID”, “power plant name”, “address”, and “total power generation output” of the retrieved record is read into the RAM 73, and the template display fields E1, E2 , E3 and E4 are embedded with these pieces of information. Also, the current date is embedded in the display field E5, the actual power generation amount E _pd for the current day is embedded in the display field E6, and the power sale amount for the current day (the actual power generation for the day is displayed in the display field E7. The product of the amount E _pd and the power sale price), the actual power generation amount E _pm of this month is embedded in the display column E8, the power sale amount of this month is embedded in the display column E9, and “abnormal operation” and “normal” are displayed in the display column E10. Embed the relevant characters in "Activate". In addition, a graph G _{ph of} height corresponding to the actual power generation amount E _ph at each time of the day and a graph G _ph ′ corresponding to the estimated power generation amount E _ph ′ at each time of the day are embedded in the display column E11, and today The actual power generation amount E _pd at each point of time is embedded, the estimated power generation amount E _ph ′ at each time point of today is embedded in the display column E13, the solar radiation amount at each time point of today is embedded in the display column E14, and the present day amount is displayed in the display column E15. The temperature at each time is embedded, and the weather at each time is embedded in the display field E16.

Further, the CPU 72 of the solar power generation monitoring server device 70, when the scheduled delivery time of the weekly power generation status report information DR _pw (for example, every Monday at 0:00) comes (S1203: Yes), the customer C-m first what transmission weekly has been instructed by the check box A9 in the registration field B41 of the setting screen and the notification destination of the power generation status report information DR _pw, separate power status report information DR _pw for each notification destination of Is sent to each e-mail address (S1204).

FIG. 16 is a diagram illustrating an example of the contents of the weekly power generation status report information DR _pw . In step S1204, the individual power generation status report information DR _pw for each notification destination is obtained by embedding individual information for each notification destination in each of the display fields F1 to _{F16 in} the template of the weekly power generation status report information DR _pw . .

  More specifically, the CPU 72 of the photovoltaic power generation monitoring server device 70 sets the ID of the photovoltaic power generation system 1-m of the customer C-m that is the notification destination to the “power plant ID” from among the records of the table TB3. The field value is searched, and the field information of “power plant ID”, “power plant name”, “address”, and “total power output” of the retrieved record is read into the RAM 73. Further, the ID of the solar power generation system 1-m of the customer C-m to be notified is set as the value of the field of “power plant ID” from the records of the table TB6, and the date from Monday to Sunday of last week is set to “date”. A field value is searched for, and information on “actual power generation amount”, “assumed power generation amount”, “insolation amount”, “temperature”, and “weather” of the searched record is read into the RAM 73.

Then, each information read from the record of the table TB3 is embedded in the display fields F1 to F4 of the template, the date of the previous week is embedded in the display field F5, and the actual power generation E _pw of the previous week is stored in the display field F6. Embedding, display field F7 embeds last week's power sale amount (product of actual power generation E _pw and last week's actual power generation price) and embeds actual power generation amount E _pm of this month in display field F8, display field F9 The amount of power sold this month is embedded, and the corresponding characters of “abnormal operation” and “normal operation” are embedded in the display field F10. Further, the actual power generation amount E _pd for each date from Monday to Sunday is embedded in the display field F11, the estimated power generation amount E _pd ′ for each date from Monday to Sunday is embedded in the display field F12, and each of Monday to Sunday is displayed in the display field F13. The amount of solar radiation of the date is embedded, the temperature of each date from Monday to Sunday is embedded in the display field F14, and the weather of each date from Monday to Sunday is embedded in the display field F15. A graph G _pd in the display column F16 on Monday to the actual power generation amount assumed power generation amount E height corresponding to _{pd 'of} E Height graph G _pd and Monday to each date Friday in accordance with the _pd of each date Friday Embed '.

In addition, the CPU 72 of the photovoltaic power generation monitoring server device 70, when the scheduled delivery time of the monthly power generation status report information DR _pm (for example, 0:00 on the first day of every month) arrives (S1205: Yes), customer C- Among the m, the one for which monthly transmission is instructed by checking the check box A10 in the registration field B41 of the first setting screen is set as the notification destination of the power generation status report information DR _pm , and the individual power generation status report information DR for each notification destination An e-mail message with _pm attached is transmitted to each e-mail address (S1206).

FIG. 17 is a diagram illustrating an example of the contents of the monthly power generation status report information DR _pm . In step S1206, a separate power status report information DR _pm notification destination each time those embedded individual information for each notification destination to each display field H1~H29 in power status report information DR _pm template monthly .

  More specifically, the CPU 72 of the photovoltaic power generation monitoring server device 70 sets the ID of the photovoltaic power generation system 1-m of the customer C-m that is the notification destination to the “power plant ID” from among the records of the table TB3. The field value is searched, and the field information of “power plant ID”, “power plant name”, “address”, and “total power output” of the retrieved record is read into the RAM 73. Further, the ID of the photovoltaic power generation system 1-m of the customer C-m to be notified is set as the value of the field of “power plant ID” and the date of last month is set as the value of the field of “date” from the record of the table TB6. The information of “actual power generation amount”, “assumed power generation amount”, “insolation amount”, “temperature”, and “weather” of the searched record is read into the RAM 73. In addition, by accessing the database DB of the weather information distribution server device 60, the statistical information of the total solar radiation amount and the statistical information of the average temperature in the same month as the previous month at the installation destination of the solar power generation system 1-m are acquired. The power generation amount obtained by applying the solar radiation amount and temperature indicated by the information to the power generation amount calculation formula of JIS C 8907 (the above formulas (1) to (4)) is defined as an initial simulation power generation amount E ″.

Then, each information read from the record of the table TB3 is embedded in the display columns H1 to H4 of the template, the year and month of the previous month are embedded in the display column H5, and the actual power generation amount E _pm for the previous month is displayed in the display column H6. Embedded in the display field H7, the amount of power sold for the last month (the product of the actual power generation E _pm and the power selling price for the previous month), and the actual power generation E _py of this year in the display field H8, The amount of electricity sold this year is embedded in the display column H9, the accumulated actual power generation amount E _pg from the beginning of monitoring is embedded in the display column H10, the amount of electricity sold from the beginning of monitoring is embedded in the display column H11, and “abnormal operation” is displayed in the display column H12. ”And“ normal operation ”are embedded. Further, the statistical information of the solar radiation amount is embedded in the display column 13, the initial simulation power generation amount E "is embedded in the display column H14, the solar radiation amount of the previous month is embedded in the display column H15, and the previous month's one month in the display column H16. The actual power generation amount E _pm is embedded, a value obtained by dividing the number in the display field H13 by the number in the display field H15 is embedded in the display field H17, and the number in the display field H14 is displayed in the display field H18. Embed the value divided by.

Further, the actual power generation amount E _pd of each date of the first half of the previous month is embedded in the display column H19, the estimated power generation amount E _pd 'of each date of the first half of the previous month is embedded in the display column H20, and the solar radiation of each date of the first half of the previous month is embedded in the display column H21. The amount is embedded, the temperature of each date in the first half of the previous month is embedded in the display field H22, and the weather of each date in the first half of the previous month is embedded in the display field H23. Further, the actual power generation amount E _pd for each date in the last half of the previous month is embedded in the display column H24, the estimated power generation amount E _pd 'for each date in the latter half of the previous month is embedded in the display column H25, and the solar radiation for each date in the latter half of the previous month is embedded in the display column H26. The amount is embedded, the temperature of each date in the latter half of the previous month is embedded in the display column H27, and the weather of each date in the latter half of the previous month is embedded in the display column H28. Further, a graph G _{pd having} a height corresponding to the actual power generation amount E _pd on each date of the previous month and a graph G _pd ′ having a height corresponding to the assumed power generation amount E _pd ′ on each date of the previous month are embedded in the display field H29.

Further, the CPU 72 of the photovoltaic power generation monitoring server device 70 receives the scheduled delivery time (for example, 0:00 on January 1 every year) of the annual power generation status report information DR _py (S1207: Yes). In C-m, the one instructed to be transmitted every year by checking the check box A11 in the registration field B41 of the first setting screen is set as the notification destination of the power generation status report information DR _py , and the individual power generation status report for each notification destination The e-mail message with the information DR _py attached is transmitted to each e-mail address (S1208).

FIG. 18 is a diagram illustrating an example of the contents of the annual power generation status report information DR _py . In step S1208, a separate power status report information DR _py for each notification destination by embedding individual information for each notification destination to each display field J1~J21 in power status report information DR _py template yearly .

More specifically, the CPU 72 of the photovoltaic power generation monitoring server device 70 sets the ID of the photovoltaic power generation system 1-m of the customer C-m that is the notification destination to the “power plant ID” from among the records of the table TB3. The field value is searched, and the field information of “power plant ID”, “power plant name”, “address”, “total power generation output”, and “power generation start date” of the retrieved record is stored in the RAM 73. read out. Further, the ID of the photovoltaic power generation system 1-m of the customer C-m to be notified is set as the value of the field of “power plant ID” and the date of last year is set as the value of the field of “date” from the records in the table TB6. The field to be searched is retrieved, and the values of the fields of “actual power generation amount”, “assumed power generation amount”, “irradiation amount”, “temperature”, and “weather” of the searched record are read out to the RAM 73. In addition, by accessing the database DB of the weather information distribution server device 60, obtain statistical information on the amount of solar radiation and temperature statistical information for each month from January to December at the installation location of the solar power generation system 1-m, Initial simulation power generation for each month from January to December is obtained by applying the solar radiation amount and temperature indicated by this statistical information to the power generation amount calculation formula of JIS C 8907 (the above formulas (1) to (4)). The quantity is E _pm ”.

Then, each information read from the record of the table TB3 is embedded in the display columns J1 to J5 of the template, the last year is embedded in the display column J6, and the actual power generation E _py for the last year is embedded in the display column J7. J8 embeds the power sales amount for the last year (product of actual power generation E _py and power sales price for the last year) and embeds the accumulated actual power generation E _pg from the beginning of monitoring in the display column J9. The power sale amount from the beginning of monitoring is embedded, and the corresponding characters of “abnormal operation” and “normal operation” are embedded in the display field J11.

In addition, in the display column J12, a graph G _{pm of the} height corresponding to the actual power generation amount E _pm of each month from January to December of last year, the estimated power generation amount E _pm 'of each month from January to December of last year. embed _"graph G _pm in height corresponding to _the" height of the graph G _pm ', and the initial simulated power generation amount E _pm of each month from January to December last in accordance with.

In addition, the actual power generation amount E _pm for each month from January to December of last year is embedded in the display column J13, and the estimated power generation amount E _pm 'for each month from January to December of the previous year is embedded in the display column J14. In the display column J15, the initial simulation power generation amount E _pm ”of each month from January to December of last year is embedded, and the solar radiation amount of each month from January to December of the previous year is embedded in the display column J16.

In addition, in the display column J17, a graph G _py of a height corresponding to the actual power generation amount E _py of each elapsed year from the start of monitoring, and a height corresponding to the assumed power generation amount E _py 'of each elapsed year from the start of monitoring. the graph G _py ', and embedding _"graph G _py of height corresponding to _the" initial simulations power generation amount E _py each year elapsed from the time of monitoring start.

Further, the actual power generation amount E _py of each elapsed year from the start of monitoring is embedded in the display column J18, and the estimated power generation amount E _py 'of each elapsed year from the start of monitoring is embedded in the display column J19. The initial simulation power generation amount E _py ”of each elapsed year from the start of monitoring is embedded, and the solar radiation amount of each elapsed year from the start of monitoring is embedded in the display column J21.

  FIG. 19 is a flowchart showing signage screen providing processing. In FIG. 19, the terminal of the customer C-m who is the owner of the photovoltaic power generation system 1-m transmits a message whose destination is the URL of the signage screen (S1301). The CPU 72 of the photovoltaic power generation monitoring server device 70 sets the screen data of two types of signage screens indicating the power generation status of the photovoltaic power generation system 1-m as the signage data acquisition interval on the first setting screen (FIG. 10). The process of alternately transmitting with a gap is repeated (S1302). 20 and 21 are diagrams showing two types of signage screens.

The above is the details of the configuration of the present embodiment. According to this embodiment, the following effects can be obtained.
First, in the present embodiment, the power generation amount indicated by the power consumption information DE _G transmitted from the photovoltaic system 1-m and actual power generation amount E _ph of the latest 1 hour photovoltaic system 1-m, weather information distribution server device 1 of the latest temperature T _CR photovoltaic system power amount E obtained by acting on the solar radiation Gs supra formula (5) 1-m in the weather information DM sent from 60 It is assumed that the estimated power generation amount E _ph 'for the time. Then, based on these power generation amounts, it is determined whether there is an abnormality in the power generation status of the photovoltaic power generation system 1-m, and when it is determined that an abnormality has occurred in the power generation status, the preset e-mail address is set. Send an alert message to. Therefore, according to the present embodiment, a mechanism for monitoring whether the photovoltaic power generation system 1-m is generating power as originally planned can be provided at a low cost.

Second, in the present embodiment, in the determination process, the relationship between the ratio of the actual power generation amount E _pd for one day of the day and the assumed power generation amount E _pd ′ and the abnormal power generation coefficient (specifically, the ratio is abnormal). Between the actual power generation amount E _STpd -i (i = 1 to _{L P} ) of the solar cell string 7-i (i = 1 to _{L P} ) and the abnormal power generation coefficient. relationship (specifically, whether the ratio is below the abnormal power factor), the time difference between today one day of actual power generation amount E _pd and the actual power generation amount E _pd the acquisition date of Toko (today) The relationship between the actual power generation amount E _pd of the past date within the predetermined range (information in the field of “actual power generation amount” of the corresponding record in the table TB6) and the abnormal power generation coefficient (specifically, PV power generation system based on three types of relationships: Determining the presence or absence of an abnormality of the power generation situation systems out. Therefore, a determination result with higher reliability can be obtained than in the case where the determination is based only on the relationship between the ratio of the actual power generation amount and the assumed power generation amount and the abnormal power generation coefficient.

Third, in the present embodiment, the estimated power generation amount E _ph ′ is calculated not by the calculation formula itself of JIS C 8907 but by the calculation formula (5) in which the calculation result of the calculation formula is corrected by the correction value β. The correction value β can be individually set for each monitoring target photovoltaic power generation system 1-m. Therefore, it is possible to determine an abnormality taking into account the installation environment of the photovoltaic power generation system 1-m.

As mentioned above, although one Embodiment of this invention was described, you may add the following modifications to this embodiment.
(1) In the above embodiment, the ratio of the actual power generation amount E _pd and the assumed power generation amount E _pd ′, the actual power generation amount E _STpd -i (i = 1 to 1) of the solar cell string 7-i (i = 1 to _{L P} ). L P of each _other) ratio, and of today of the actual power generation amount E _pd and the power generation situation on the basis of the relationship between the ratio and the extraordinary power coefficient between the actual amount of power generation E _{pd (history)} of a past date is close to the day abnormality of The presence or absence was judged. However, the difference between the actual power generation amount E _pd and the assumed power generation amount E _pd ′, the mutual _relationship between the actual power generation amount E _STpd −i (i = 1 to _{L P} ) of the solar cell string 7-i (i = 1 to _{L P} ). difference, and also determine the presence or absence of an abnormality in the power generation state based on the relationship between the difference and the abnormal power coefficient between today's actual power generation amount E _pd and the actual power generation amount E _pd of past dates are close day _(history) Good.

(2) In the above embodiment, there are two types of signage screens in the signage screen providing process. However, the number of signage screens may be one, or three or more.

DESCRIPTION OF SYMBOLS 1 ... Solar power generation system, 2 ... Solar cell array, 3 ... Power conditioner, 4 ... Current collector panel, 5 ... Smart meter, 6 ... 3G communication module, 7 ... Solar cell string, 60 ... Weather information distribution server apparatus, DESCRIPTION OF SYMBOLS 70 ... Solar power generation monitoring server apparatus, 71 ... Communication interface, 72 ... CPU, 73 ... RAM, 74 ... ROM, 75 ... Hard disk, 76 ... Display, 77 ... Mouse, 78 ... Keyboard.

Claims (2)

A photovoltaic power generation system to be monitored, a solar cell array in which a plurality of solar cell strings each having a plurality of solar cell modules connected in series are connected in parallel to a power system, and the solar cell array a power conditioner interposed between the electric power system, said power system power amount of power each solar cell string of the solar cell array is individually generating power and from the solar array via the power conditioner A solar power generation system having a watt-hour meter for measuring the amount of power supplied to the station, and meteorological information for each observation point including measured values of solar radiation and temperature at each observation point Solar power having an information distribution server device, and a photovoltaic power generation monitoring server device connected to the electricity meter and the weather information distribution server device via a network A solar power monitoring method according to electric monitoring system,
The solar power generation monitoring server device acquires power amount information indicating the amount of power measured by the watt hour meter of the solar power generation system from the solar power generation system, and from the weather information distribution server device, the solar power A first step of obtaining meteorological information at an observation point closest to the installation location of the power generation system;
The photovoltaic power generation monitoring server device obtains the power generation amount of each of the plurality of solar cell strings indicated by the power amount information acquired in the first step as a solar cell string actual power generation amount, and acquired in the first step. The amount of power supplied to the power system indicated by the power generation amount information is defined as the system actual power generation amount, and the measurement value of the solar radiation amount and the measurement value of the air temperature in the weather information acquired in the first step are the predetermined power amount. The amount of electric power obtained by acting on the calculation formula is assumed as the assumed power generation amount of the solar power generation system, and the set of the actual power generation amount and the assumed power generation amount and the date of acquisition of these power generation amounts is the solar power generation A second step of storing as a history in the storage means of the monitoring server device;
The solar power generation monitoring server device is
The ratio of the system actual power generation amount acquired in the second step and the assumed power generation amount acquired in the second step is calculated, the calculated ratio is compared with the abnormal power generation coefficient, and the system actual power generation amount and the assumed power generation amount are calculated. A first determination process for determining that there is an abnormality in the power generation status of the solar power generation system when the ratio of the amounts is below the abnormal power generation coefficient over a predetermined number of days;
The ratio of the actual power generation amounts of the solar cell strings of the plurality of solar cell strings obtained in the second process, and combinations of all pairs in the case where two of the solar cell strings are paired Calculating a ratio of the actual power generation amount of the solar cell string with respect to each other, comparing each of the calculated ratios with the abnormal power generation coefficient, and one or more of the ratios of the actual power generation amount of the solar cell string for the combinations of all the pairs. A second determination process that determines that there is an abnormality in the power generation status of the solar power generation system when the abnormal power generation coefficient is lower than the abnormal power generation coefficient over the predetermined number of days;
The past system actual power generation amount stored in the storage unit in association with a date whose time difference from the acquisition date of the system actual power generation acquired in the second step is within a predetermined range is stored in the storage unit. Searching, calculating a ratio between the system actual power generation amount retrieved from the storage means and the system actual power generation amount acquired in the second step, comparing the calculated ratio with the abnormal power generation coefficient, When the ratio of the system actual power generation amount retrieved from the system actual power generation amount acquired in the second step is below the abnormal power generation coefficient over the predetermined number of days, the power generation status of the photovoltaic power generation system is A third determination process for determining that there is an abnormality;
And when it is determined that any one of the first determination process, the second determination process, and the third determination process is abnormal in the power generation status of the solar power generation system, And a third step of transmitting an alert message to an address set in advance as a notification destination of the power generation status of the power generation system. Based on the contents of each set of the system actual power generation amount, the assumed power generation amount, and the date of acquisition date, which the solar power generation monitoring server device stores as a history in the storage unit , the actual power unit for each time unit. the power generation amount and the assumed power generation generates electric power generation amount status report that includes as a separate graph, wherein the power generation amount status report to claim 1, characterized in that it comprises a third step of transmitting addressed to the address Solar power generation monitoring method.