JP6918456B2 - Power control system and power control method - Google Patents

Description

The present invention relates to a power control system and a power control method.

Conventionally, in a power control system of a house equipped with a photovoltaic power generation device and a power storage device, a power control system that sets a charge / discharge schedule so that the dischargeable capacity of the power storage device can be effectively used while ensuring economic efficiency has been known. (See Patent Document 1).
This prior art is provided with a predictive means for predicting the amount of power generation and the amount of power consumption of the solar cell panel, and by appropriately setting the discharge start time of the power storage device based on this prediction, the number is small while ensuring economic efficiency. It enables the effective use of the power storage device with the computational load.
Further, among the electric power generated by the photovoltaic power generation device, the surplus electric power that cannot be completely consumed by the power load device of the building is also known to charge the power storage device (see, for example, Patent Document 2).

Japanese Patent No. 5484621 Japanese Unexamined Patent Publication No. 2013-223316

By the way, depending on the weather, the amount of power generated by the solar cell may be small, surplus power may not be sufficiently obtained, and the amount of charge of the power storage device may be insufficient. In this case, the shortage due to the charge amount of the power storage device needs to be purchased (purchased) from the grid power, which may deteriorate the economic efficiency.

Therefore, an object of the present invention is to provide a power control system and a power control method capable of improving economic efficiency.

In order to achieve the above object, the power control system of the present invention
A power control system that controls the power supply to a building equipped with a photovoltaic power generation device and a power storage device.
An electric power price storage unit that stores the electric power price of the externally supplied electric power to the building for each time zone, and
A prediction unit that predicts the amount of power generated by the photovoltaic power generation device based on weather information, predicts the amount of power consumption from past historical data, and predicts the amount of surplus power from the difference between the two.
It controls the charging and discharging of the power storage device, charges the actual surplus power amount in which the power generation amount exceeds the power consumption amount, and charges from the external power supply during the time period when the power price is the lowest. Charge / discharge control unit to be executed in
With
The charge / discharge control unit sets the charge amount in the time zone when the power price is the lowest before the surplus power amount is generated so that the charge amount becomes a preset charge amount by charging the predicted surplus power amount. The power control system is characterized by being set.

In addition, it is preferable that the charge / discharge control unit sets the charge amount in the time zone when the electric power price is the lowest based on the value obtained by largely estimating the predicted value of the surplus electric power amount.
Further, the charge / discharge control unit adds the total value of the charge amount in the time zone where the power price is the lowest to the power consumption amount from the end of the time zone when the power price is the lowest to the generation of the surplus power. Is preferably added.

Further, in order to achieve the above object, the power control method of the present invention can be used.
It is a power control method that controls the power supply to a building equipped with a photovoltaic power generation device and a power storage device.
A step of predicting the amount of power generated by the photovoltaic power generation device based on weather information, predicting the amount of power consumption from past historical data, and predicting the amount of surplus power from the difference between the two.
Based on the difference between the predicted power amount and the rechargeable capacity of the power storage device, the most before the surplus power is generated so that the charge amount becomes a preset charge amount by charging the predicted surplus power amount. Steps to set the amount of charge during times when the electricity price is low,
The power control method is characterized by the above.

The power control system of the present invention sets the amount of charge from external power in the time zone when the power price is the lowest, based on the predicted amount of surplus power on the next day. Therefore, compared to the case where the charge amount from external power is set at the time when the power price is the lowest without based on the prediction of the surplus power amount on the next day, the charge amount shortage after charging the surplus power on the next day is reduced. Can be suppressed. Therefore, it is possible to reduce the amount of power purchased during a high-priced time zone and improve economic efficiency.

Further, in the case where the predicted value of the surplus power amount is overestimated and the charge amount is set, it is unlikely that the surplus power amount actually generated exceeds the predicted value as compared with the case where the predicted value is not overestimated. Therefore, the surplus power can be reliably charged, the surplus power is less likely to be wasted, and the economy is excellent.
The time when the power price is the lowest when the total value of the power consumption from the end of the time zone when the power price is the lowest to the generation of surplus power is added to the charge amount in the time zone when the power price is the lowest. The amount of power consumption from the end of the band to the generation of surplus power can be covered by the discharge of the power storage device. Therefore, the amount of power purchased from the externally supplied power can be further reduced, and the economic efficiency can be further improved.

Further, even in the power control method of the present invention, the charge amount from the external power in the time zone when the power price is the lowest is set based on the predicted surplus power amount on the next day. Therefore, compared to the case where the charge amount from external power is set at the time when the power price is the lowest without based on the prediction of the surplus power amount on the next day, the charge amount shortage after charging the surplus power on the next day is reduced. Can be suppressed. Therefore, it is possible to reduce the amount of power purchased during a high-priced time zone and improve economic efficiency.

It is an whole system diagram which shows typically the whole structure of the power control system of Embodiment 1 of this invention. It is a block diagram which shows the power control system of Embodiment 1 in detail. It is an electric power price explanatory diagram which shows typically the electric power price system in the electric power control system of Embodiment 1. FIG. It is a flowchart which shows the flow of the process of setting the charge amount at night (the lowest price range) in the power control system of Embodiment 1. It is a time chart which shows an example of the operation of Embodiment 1, (a) shows the transition of the power consumption amount and the power generation amount of a house, and (b) shows the transition of the remaining capacity of a storage battery. (A time chart showing another example of the operation of the first embodiment, (a) shows the transition of the power consumption amount and the power generation amount of the house, and (b) shows the transition of the remaining capacity of the storage battery. It is a figure which shows the power consumption amount, the power generation amount, and the storage battery remaining capacity in Embodiment 1 corresponding to the example shown in the time chart of FIG. 5 as a bar graph. It is a time chart which shows an example of the operation of the comparative example with Embodiment 1, (a) shows the transition of the power consumption amount and the power generation amount of a house, and (b) shows the transition of the remaining amount of a storage battery. It is a flowchart which shows the flow of the process of setting the charge amount at night (the lowest price range) in the power control system of Embodiment 2. It is a figure which shows the power consumption amount, the power generation amount, and the storage battery remaining capacity in Embodiment 2 corresponding to the example shown in the time chart of FIG. 5 as a bar graph.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
(Embodiment 1)
First, the overall configuration of the power control system of the first embodiment will be described with reference to FIG. This power control system is a house H1, ..., HX as a controlled building, which is a power grid for receiving power from grid power such as power plants of electric power companies and cogeneration facilities installed in each area. It is connected to the grid power grid as. In the following description, when a specific one of the houses H1, ..., HX is not referred to, it is simply referred to as the house H.

Further, each house H includes a solar cell panel 1 as a photovoltaic power generation device and a storage battery 2 as a power storage device for temporarily storing electric power. Further, each of these houses H is connected to an external communication network N such as the Internet. Then, data such as measured values and arithmetic processing results are transmitted / received and control signals are transmitted / received to / from the external management server 5 which is also connected to the communication network N.

FIG. 2 is a block diagram showing a power control system according to the first embodiment. This power control system has a configuration arranged in each of the houses H and a configuration arranged in the management server 5 as a server side.

First, the configuration of the house H side to be processed will be described.
The house H mainly includes a solar cell panel 1, a storage battery 2, a measuring device 3, and a display monitor 4.

The solar cell panel 1 is a device that converts sunlight into electric power by using a solar cell to generate electric power.
The solar cell panel 1 is a device capable of supplying electric power only during a time period in which sunlight can be received. Further, the DC power generated by the solar cell panel 1 is usually converted into AC power by a power conditioner (not shown) and used. The specifications such as the capacity of the power generation amount of the solar cell panel 1 installed in the house H are stored in the house information database 51 described later on the management server 5 side.

On the other hand, like the solar cell panel 1, the storage battery 2 is also connected to a power conditioner (not shown) to control charging and discharging. For example, the storage battery 2 is charged with low-priced electric power (externally supplied electric power) such as midnight electric power supplied from an external grid power grid. Specifications such as the capacity of the stored power of the storage battery 2 and the rated output are also stored in the house information database 51 described later on the management server 5 side.

Further, in the house H, externally supplied electric power is supplied through a distribution board, and various loads that consume it are installed. Examples of these various loads include air conditioners such as air conditioners, hot water supply devices, lighting devices such as lighting stands and ceiling lights, and home appliances such as refrigerators and televisions.

Further, the load includes an electric vehicle and a plug-in hybrid vehicle (not shown). The electric vehicle or the plug-in hybrid vehicle becomes a load when charging for running, and becomes a power storage device when discharging due to the load of the house H, like the storage battery 2.

The measuring device 3 measures the actual power generation for each hour of the solar panel 1 installed in the house H, and also measures the power consumption for each hour consumed by the load installed in the house H.
The measurement by the measuring device 3 can be performed every hour at arbitrary intervals such as seconds, minutes, and hours. Then, the data of the measured values measured by the measuring device 3 is stored in the power consumption history database 52 described later on the management server 5 side.

The display monitor 4 displays the measured values measured by the measuring device 3 and the operating state of the charge / discharge control unit 63 described later on the management server 5 side. A dedicated terminal monitor may be used for the display monitor 4, or a screen of a general-purpose device such as a personal computer may be used.

Next, the configuration of the management server 5 side connected to each house H via the communication network N (see FIG. 1) will be described.
The management server 5 side has a communication unit 71 as a communication means, a control unit 6 that performs various controls, a residence information database 51 as a storage means, a power consumption history database 52, a power price database 53, a meteorological database 54, and an operation pattern. It has a database 55.

The communication unit 71 sends the specifications, measured values, processing requests, and the like of various equipment transmitted from the house H to the control unit 6 of the management server 5. Further, the communication unit 71 has a function of sending data stored in various databases 51, 52, 53, 54, 55, calculation processing results performed by the control unit 6, update programs, and the like to the house H. There is.

In the house information database 51, the house code (identification number) of each house H, the address associated with the house code, the year of construction, the heat insulating performance, the floor plan, the electrical wiring, the materials used, and the specifications of the solar cell panel 1 (power generation capacity). ), Information such as specifications (storage capacity, rated output) of the storage battery 2 is stored. Further, in the house information database 51, the amount of power generation for each actual time zone for each house H is stored in association with the meteorological data (solar radiation amount). For example, since the installation conditions of the solar cell panel 1 are different for each house H, even if the amount of solar radiation is the same in the same area, the amount of power generated will be different, so that data is stored for each house.

In the power consumption history database 52, the measurement data of the power consumption measured in each house H is received and stored via the communication unit 71. The history of this power consumption is stored for each hour and is also stored in association with the calendar such as the day of the week. In the power consumption history database 52, the power consumption of an air conditioner load such as an air conditioner that is easily affected by weather conditions such as air temperature and a hot water supply load such as a water heater, and other loads that are not easily affected by weather conditions such as air temperature. The power consumption of the above may be stored by categorizing it according to the load.

The electric power price database 53 stores information on electric power prices (electricity purchase prices as seen from the resident side) that change depending on the time of day set by an electric power company or the like that supplies an external grid electric power network.

FIG. 3 shows a charge system in this embodiment. This rate system is the mid-price range in the morning from 7:00 to before 10:00, the high-priced range in the daytime from 10:00 to 17:00, and the mid-price range in the evening from 17:00 to before 23:00. Three types of electricity price ranges are set: the low price range at night after 23:00 until 7:00 the next day. Therefore, the low price zone at night is the time zone where the electricity price is the lowest, and the time included in this time zone is the lowest unit price time.

Therefore, the electric power price database 53 stores the time when the electric power price is switched and the electric power price in each time zone. Further, the electric power price database 53 may also store the purchase price (the selling price when viewed from the resident side) in which the electric power company or the like purchases the electric power generated by the solar cell panel 1.

Returning to FIG. 2, the weather database 54 contains the next day's weather forecast such as the temperature and the amount of solar radiation in each part of the country where each house H is located, which is received from a server (not shown) such as the Japan Meteorological Agency or a weather forecast company via the communication network N. The data is stored. Further, the meteorological database 54 may also store actual meteorological data, temperature, humidity, sunshine amount, and other meteorological data from moment to moment.

In the operation pattern database 55 as the operation pattern storage means, various operation patterns of the air conditioner which is the air conditioning load and the hot water supply device which is the hot water supply load installed in each house H are stored in association with the weather data. ..

The control unit 6 controls the charging and discharging of the storage battery 2, and includes a power consumption prediction unit 61, a generated power prediction unit 62, a charge / discharge control unit 63, and a storage battery rechargeable capacity calculation unit 64.

The power consumption prediction unit 61 predicts the amount of power consumption for each unit time (1 hour is set as a unit time in the first embodiment). For example, the hourly power consumption of the house H on the previous day and the next day is predicted. The power consumption prediction unit 61 refers to the power consumption data of the past history (step 101A), and obtains the hourly power consumption prediction value of the next day based on the past power consumption data (step 102A).

When calculating the hourly power consumption forecast value, for example, the average value of the hourly power consumption in the same season as the forecast target day (next day, etc.) is calculated for weekdays and holidays, and the forecast target day is The power consumption can be used as a predicted value depending on whether it is a weekday or a holiday. Alternatively, the power consumption may be associated with meteorological data such as temperature and solar radiation, and past operation pattern data corresponding to meteorological data similar to the weather forecast data may be further referred to.

5 and 6 show an example of the power consumption, and the power consumption shows an example in which the value in the daytime when the resident is absent is low and the value is particularly high in the night when the resident is at home. Further, in this example, at night, cheap electric power is used to store heat in the hot water supply device and charge the storage battery 2 described later, so that the power consumption is high. If the past power consumption is such a pattern, the required power consumption prediction value is also predicted by the same pattern.

The generated power prediction unit 62 predicts the amount of power generated by the solar cell panel 1 for each hour. For example, the hourly power generation amount of the house H on the previous day and the next day is predicted.
For the prediction of the hourly power generation amount of the solar cell panel 1, the weather forecast data (particularly the amount of solar radiation) of the next day stored in the weather database 54 on the prediction target day (next day, etc.) is referred to (step 101C), and the weather With reference to the power generation history associated with the past weather data (solar radiation) that correlates with the forecast data (step 101B), the hourly power generation forecast value is obtained (step 102B). As shown in FIGS. 5 and 6, for example, the predicted power generation amount becomes a positive value in the sunshine time zone and becomes 0 at night.

Further, the generated power prediction unit 62 sets a large amount of power generation predicted value in order to overestimate the predicted surplus power in consideration of the case where the actual surplus power is larger than the predicted value. Specifically, the final power generation amount prediction value is obtained by multiplying the power generation amount prediction value obtained in step 102B by a preset safety factor x (for example, a value of about 1.2> x> 1) (step 103B). ..

Then, the charge / discharge control unit 63 controls the charge / discharge of the storage battery 2 based on the predicted power consumption value, the final power generation amount predicted value, and the rechargeable capacity of the storage battery 2. Specifically, the charge / discharge control unit 63 first calculates the predicted surplus power amount for each time (step 104). This predicted surplus power amount is obtained by subtracting the final power generation amount predicted value from the power consumption predicted value.

Further, the storage battery rechargeable capacity calculation unit 64 calculates the rechargeable capacity of the storage battery (step 105). This rechargeable capacity is the capacity that can be charged at the time of entering the low-priced time zone at night, and is a value obtained by subtracting the remaining capacity from the full charge amount (100%).

Further, the charge / discharge control unit 63 determines whether or not to perform charging at the lowest unit price and obtains the charge amount at the lowest unit price based on the total value for the predicted surplus power and the chargeable capacity of the storage battery. In the present embodiment, the charge amount at the lowest unit price is the charge amount at night, which is a low price range.

Specifically, first, it is determined whether or not the total predicted surplus electric energy value is larger than the chargeable capacity of the storage battery (step 106). Here, the total predicted surplus electric energy is the total value of the predicted surplus electric energy for each hour. Further, as shown in FIG. 5, the predicted surplus electric energy is an electric energy in which the power generation amount (predicted value) exceeds the power consumption amount (predicted value).

When the total predicted surplus electric energy exceeds the rechargeable capacity of the storage battery, the battery is not charged at the lowest unit price, and the charge at the lowest unit price is set to 0 (step 107). That is, when it is predicted that the storage battery 2 can be charged up to the maximum rechargeable capacity (full charge amount = 100%) by the surplus power, the charge at night, which is the lowest unit price, is not performed.

If the total predicted surplus electric energy exceeds the rechargeable capacity of the storage battery, in addition to not performing the above-mentioned nighttime charging, for example, the storage battery 2 lacks the capacity to charge the total predicted surplus electric energy. If so, the battery may be further discharged at night to reduce the amount of charge and increase the free capacity. By doing so, it is possible to reduce the amount of electricity purchased at night.

On the other hand, when the total predicted surplus power amount is less than the rechargeable capacity of the storage battery, the value obtained by subtracting the total predicted surplus power amount from the rechargeable amount of the storage battery is set as the lowest unit price charge amount (step 108). Then, the lowest unit price charge amount obtained in steps 107 and 108 is set as the lowest unit price charge amount, which is the nighttime charge amount at which the electricity rate is the cheapest (step 109).

Next, the operation of the first embodiment will be described.
Here, first, when surplus power is generated, the one that charges the surplus power without predicting the power consumption amount and the power generation amount will be described as a comparative example.

8A and 8B are time charts showing an operation example of the above comparative example, in which FIG. 8A shows the transition of electric energy and FIG. 8B shows the remaining amount of the storage battery. An operation example of this time chart shows a case where surplus power is generated in which the amount of power generation in the daytime between 10:00 and 17:00 exceeds the amount of power consumption. In this case, the surplus power is charged to the storage battery. Then, the electric power charged in the storage battery is discharged to cover the power consumption after 17:00 (evening), which is the time zone after charging.

However, in this comparative example, when the surplus power is insufficient, such as on a day when the sunshine conditions are bad, the charge amount is also reduced, and the power consumption in the evening cannot be sufficiently covered. Then, in such a case, the electricity in the middle price range in the evening is purchased and consumed, which is inferior in economic efficiency.

Next, the operation of the first embodiment is performed when the amount of surplus power is relatively large (when the amount of solar radiation is large), when the amount of surplus power is relatively small (when the amount of solar radiation is small), and when. It will be explained separately.

FIG. 5 shows a time chart when the amount of power generation exceeds the amount of power consumption and the total value of the amount of surplus power sufficiently exceeds the rechargeable capacity of the storage battery, (a) shows the transition of the amount of power, and (b). Indicates the remaining battery level.

When the amount of power generation and the amount of power consumption based on such weather conditions are predicted, the amount to be charged by the surplus power in the daytime is secured as the free capacity in the charge amount of the storage battery 2 at night. Specifically, based on the comparison between the predicted total amount of surplus power and the rechargeable capacity of the storage battery (step 106), charging in the lowest price range (charging at night) is not performed (step 107), or the storage battery is charged. Charging is performed with the lowest unit price charge amount obtained by subtracting the total predicted surplus power amount from the possible capacity (step 108).

On the other hand, FIG. 6 is a time chart showing a case where the amount of power generation in the daytime slightly exceeds the amount of power consumption. In this case, charging is performed in advance at night, which is the lowest unit price on the previous day, leaving a small amount of free capacity for the predicted surplus charge amount (based on the process of step 108).

FIG. 7 is a bar graph showing the relationship between the power consumption and the generated power in FIG. 5 (a) and the relationship between the power consumption and the storage battery charge (remaining capacity) in FIG. 5 (b). be. In this example, the total predicted surplus power amount (final predicted surplus power amount) is predicted to be 45% of the fully charged amount (100%) of the storage battery 2. Therefore, the lowest price range charge amount is set so that the storage battery charge amount (remaining capacity) becomes 100% when the total predicted surplus power amount (45%) is charged. In the example of FIG. 7, since 45% of the charge can be covered by the total predicted surplus electric energy, the battery is charged so as to secure 45% of the charge amount (remaining capacity) of the storage battery at night. That is, at this point, the charge amount is controlled so that the remaining amount becomes 55% according to the remaining amount of the storage battery 2. For example, if the remaining amount of the storage battery 2 is 0%, the rechargeable capacity is 100%, and 55%, which is obtained by subtracting the total predicted surplus power amount (45%) from this 100%, is set as the lowest price range charge amount. do. On the other hand, at this time, if the storage battery 2 has a remaining capacity, the rechargeable capacity is reduced by the remaining capacity, and the point is that the battery is charged so that the remaining capacity after charging becomes 55%. Therefore, if the remaining capacity of the storage battery 2 exceeds 55%, the storage battery 2 is not charged.

As described above, in the present embodiment, in order to predict the daytime power generation amount and the power consumption amount and set the lowest price range charge amount accordingly, as in the comparative example shown in FIG. It is economical because the amount of charge is insufficient in the evening, which is the price range, and the purchase of electricity is suppressed.

(Effect of Embodiment 1)
The effects of the power control system of the first embodiment are listed below.
1) The power control system of the embodiment is
A power control system that controls the power supply to a house H (building) equipped with a solar cell panel 1 (photovoltaic power generation device) and a storage battery 2 (power storage device).
A power price database 53 (power price storage unit) that stores the power price of the externally supplied power to the house H for each time zone, and
A control unit 6 (prediction unit) that predicts the amount of power generated by the solar panel 1 based on weather information, predicts the amount of power consumption from past historical data, and predicts the amount of surplus power from the difference between the two.
Charge / discharge control that controls the charging and discharging of the storage battery 2, charges the actual surplus power whose power generation amount exceeds the power consumption amount, and executes charging from the externally supplied power at the time when the power price is the lowest. Part 63 and
With
The charge / discharge control unit 63 has the lowest power price before the surplus power is generated so that the charge amount (100%) is set in advance by charging the predicted surplus power amount (total predicted surplus power amount). It is characterized in that the lowest unit price charge amount, which is the charge amount in the time zone, is set (steps 107 and 108).
Therefore, while charging with externally supplied power is performed at night when the power price is the cheapest, surplus power can be reliably charged. Therefore, it is possible to prevent the storage battery 2 from being insufficiently charged and purchasing power in a time zone other than the time zone when the electric power price is the cheapest, which is excellent in economy.

2) The power control system of the first embodiment is
The charge / discharge control unit 63 is characterized in that the charge amount at the lowest unit price is set based on a value obtained by largely estimating the predicted value of surplus power. Specifically, the predicted surplus power amount is calculated by multiplying the predicted power generation amount by the safety coefficient x to calculate the final power generation amount predicted value, and then calculating the predicted surplus power amount from this final power generation amount predicted value. Set a value larger than the value obtained from the predicted power generation value.
Therefore, it is possible to prevent the actual amount of surplus power from exceeding the predicted value of the amount of surplus power, suppress the occurrence of power generation amount that cannot be charged due to insufficient rechargeable capacity, and reliably charge the generated power. Therefore, it is difficult to waste surplus electric power and it is excellent in economy.

3) The power control system of the first embodiment is
It is a power control method for controlling the power supply to the house H provided with the solar cell panel 1 (solar power generation device) and the storage battery 2 (storage device).
The power generation amount of the solar cell panel 1 is predicted based on the weather information (steps 101B, 101C, 102B, 103B), the power consumption amount is predicted from the past historical data (steps 101A, 102A), and the surplus is obtained from the difference between the two. Step (104) to predict the amount of power and
Based on the difference between the predicted surplus power amount and the rechargeable capacity of the storage battery 2, the lowest power price before surplus power is generated so that the predicted surplus power amount is charged to obtain a preset charge amount. It is characterized by including a step (steps 105 to 108) for setting the lowest unit price charge amount, which is the charge amount in the time zone.
Therefore, it is possible to reduce the amount of electric power purchased in a time zone other than the time zone when the electric power price is the lowest, and it is possible to improve economic efficiency.

(Other embodiments)
Next, other embodiments of the present disclosure will be described.
In the description of the other embodiments, the configurations common to the other embodiments are designated by the same reference numerals as those of the embodiments, and the description thereof will be omitted, and only the differences from the embodiments will be described.

(Embodiment 2)
The power control system of the second embodiment is a modification of the first embodiment.
FIG. 9 is a flowchart showing a flow of processing for setting the charge amount at night (lowest price range) in the power control system of the second embodiment.

As shown in this flowchart, in the second embodiment, the processes of steps 201 and 202 are added between step 107 and step 108 and step 109.
In step 201, the power consumption from after the end of the lowest unit price time zone (7:00 in the morning in the present embodiment) to before the predicted surplus power generation (10:00 in the time chart shown in FIG. 5). Find the total value of the predicted quantity.

In the following step 202, the total value of the power consumption predicted values obtained in step 201 is added to the lowest unit price charge amount obtained in steps 107 and 108 (in step 107, the lowest unit price charge amount = 0). Then, find the final charge amount at the lowest unit price.

Therefore, in step 109, the final lowest unit price charge amount is set as the nighttime charge amount.

Next, the operation of the second embodiment will be described.
In the second embodiment, for example, as shown in FIG. 5, when the power consumption amount and the remaining amount of electricity are changed, after the end of the lowest unit price time zone (7:00 in the morning) and before the generation of surplus power (10). Calculate the total value of the predicted power consumption values up to (before: 00).

FIG. 10 shows the transition of the power consumption and the transition of the remaining amount of electricity stored in FIG. 5 as a bar graph, and is shown after the end of the lowest unit price time zone (7:00 in the morning) and before the generation of surplus power (7:00 in the morning). The total value of the predicted power consumption values up to 10:00) corresponds to 30% of the capacity of the storage battery 2.

In this case, 30% is added to the remaining capacity (55%) of the storage battery 2 after charging at night, and the battery is charged until the remaining capacity of the storage battery 2 reaches 85%.

Therefore, the amount of power consumed in the morning, which is the power consumed after charging at night (lowest unit price time zone), is covered by the discharge of the storage battery 2. After that, the surplus electric power (45%) generated by the power generation of the solar cell panel 1 is charged to the storage battery 2, and at the end of this charging, the remaining capacity in the daytime of the storage battery 2 is set to 100%. Therefore, the amount of electric charge purchased is further reduced, which is excellent in economy.

2-1) The power control system of the second embodiment is
The charge / discharge control unit 63 sets the charge amount (charge amount at the lowest unit price) in the time zone when the power price is the lowest from the end of the time zone (nighttime) when the power price is the lowest to before the surplus power is generated (daytime). It is characterized in that the total value of the power consumption between the two is added.
The power consumption in the morning, which is the power consumption from the end of the time zone when the power price is the lowest (nighttime) to the generation of surplus power, can be covered by the discharge of the storage battery 2. Therefore, the amount of power purchased from the externally supplied power can be further reduced, and the economic efficiency can be further improved.

Although the embodiment of the present invention has been described in detail with reference to the drawings, the specific configuration is not limited to this embodiment, and design changes to the extent that the gist of the present invention is not deviated are described in the present invention. Included in the invention.

For example, in the embodiment, an example applied to a charge system in which three types of electric power prices exist in a day has been described, but the charge system is not limited to this. That is, the switching time of the electric power price is an example, and the time when the electric power price changes and the number of time zones in which the price changes vary depending on the management policy of the company that supplies the grid power such as the electric power company and the policy at that time.
Further, in the embodiment, an example is shown in which the unit for setting each time zone is one hour, but the present invention is not limited to this, and the unit is one hour or more, or 30 minutes or 15 minutes or less. May be good.

Further, in the embodiment, the example in which the invention is implemented in the management server is shown, but it may be implemented in the controller of each building.
Further, the discharge time and the length of the charge time are defined by the charge / discharge performance per unit time of the power storage device, and the length is not limited to the length shown in the embodiment. .. As the power storage device, other devices such as a capacitor can be used in addition to the storage battery shown in the embodiment.

Further, in the embodiment, the charge amount set in advance by charging the surplus electric power is set to full charge (100%), but the charge amount is not limited to this, and the charge amount may be less than 100%. good. In this case, for example, it may be set in a range exceeding the power consumption amount in the evening time zone.

Further, in the embodiment, in order to largely estimate the predicted value of surplus power, an example in which the predicted power generation amount is multiplied by the safety factor x to calculate the final predicted power generation amount is shown, but the present invention is not limited to this. do not have. For example, a predetermined safety value may be added to the predicted power generation amount. Further, the predicted surplus electric energy may be multiplied by a safety factor or a predetermined safety value may be added. Further, the predicted surplus power may be overestimated by multiplying the predicted power consumption value by a coefficient (less than 1) for underestimating it or by subtracting a predetermined safety value.

1 Solar cell panel (solar power generation device)
2 Storage battery (power storage device)
5 Management server 6 Control unit 51 House information database 52 Power consumption history database 53 Power price database 54 Meteorological database 55 Operation pattern database 61 Power consumption prediction unit 62 Power generation power prediction unit 63 Charge / discharge control unit 64 Storage battery rechargeable capacity calculation unit H1,・ ・ ・, HX housing (building)

Claims (3)

A power control system that controls the power supply to a building equipped with a photovoltaic power generation device and a power storage device.
An electric power price storage unit that stores the electric power price of the externally supplied electric power to the building for each time zone, and
A prediction unit that predicts the amount of power generated by the photovoltaic power generation device based on weather information, predicts the amount of power consumption from past historical data, and predicts the amount of surplus power from the difference between the two.
It controls the charging and discharging of the power storage device, charges the actual surplus power amount in which the power generation amount exceeds the power consumption amount, and charges from the external power supply during the time period when the power price is the lowest. Charge / discharge control unit to be executed in
With
The charge / discharge control unit
The charge amount is set in the time zone when the power price is the lowest before the surplus power amount is generated, and the charge amount is set so that the full charge amount is reached by charging the predicted surplus power amount. , the prediction unit is set based upon the excess power amount was predicted using the final generation amount prediction value is a prediction value of the final generation amount was estimated larger than the predicted value of the power generation amount predicted, this setting In addition to the charge amount in the time zone with the lowest power price, the total value of the predicted value of the power consumption amount from the end of the time zone with the lowest power price to the generation of the surplus power amount is added. A power control system characterized by the final charge amount. In the power control system according to claim 1,
The final power generation amount predicted value is set to a larger amount of the power generation amount predicted value in the power generation amount predicted value obtained by referring to the weather forecast data of the prediction target day and the power generation amount history associated with the past weather data. power control system, characterized in that calculated by multiplying a safety factor of smaller than 1.2 greater than 1.0 which is set in advance in order. It is a power control method that controls the power supply to a building equipped with a photovoltaic power generation device and a power storage device.
A step of predicting the amount of power generated by the photovoltaic power generation device based on weather information, predicting the amount of power consumption from past historical data, and predicting the amount of surplus power from the difference between the two.
Based on the difference between the predicted surplus power amount and the rechargeable capacity of the power storage device, the most before the surplus power amount is generated so that the full charge amount is obtained by charging the predicted surplus power amount. With a step to set the amount of charge during the time when the electricity price is low,
In the step of setting the charge amount in the time zone when the power price is the lowest, the charge amount is a final power generation amount predicted value which is a predicted value of the final power generation amount estimated larger than the predicted value of the power generation amount. The surplus power amount is set based on the surplus electric energy predicted by using, and the surplus electric energy is generated in the set charge amount in the time zone where the power price is the lowest, and further after the end of the time zone in which the power price is the lowest. A power control method characterized in that the total value of the predicted values of the power consumption until the power consumption is added to obtain the final charge amount.

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