JP7262255B2 - Monitoring system and simultaneous power equality monitoring method - Google Patents

Description

The present invention relates to a monitoring system and method for monitoring simultaneous power consumption.

Since electricity cannot be easily stored, it is desirable to match demand with supply. For this reason, in the past, electricity retailers were obliged to match the actual amount of power demanded by consumers contracted by the retailer with the actual amount of power generated by the retailer. Simultaneous equality system was adopted. The difficulty of matching actual supply and demand has been a barrier to new entrants into the electricity retail business. It was shifted to a system of simultaneous and equal amounts of planned values that obligates to match the planned values. If an imbalance occurs, which is the difference between the plan and the actual performance, and a shortage of power occurs, the retail electricity supplier will pay an imbalance fee to the transmission and distribution operator as a penalty.

Patent Literature 1 discloses a device for calculating an imbalance charge to be paid by a retail electricity supplier to a power transmission and distribution company due to the occurrence of an imbalance.

JP 2007-299180 A

In order to comply with the planned value simultaneous equality system, electricity retailers aim to accurately forecast actual demand and procure electricity according to the demand plan. Therefore, electricity retailers are considering demand forecasting based on weather forecasts and effective procurement from the electricity trading market.

On the other hand, taking advantage of the fact that imbalance tariffs can be predicted, even if it is known that an imbalance will occur, if the cost of procurement from the electricity market exceeds the imbalance tariff, dare to neglect power procurement. There can be many retail electricity providers. Such retail electric power companies give priority to their own economic efficiency and do not fulfill their obligation to achieve the same amount at the same time, causing an intentional imbalance. The occurrence of an intentional imbalance generates unnecessary supply and demand adjustment costs from the viewpoint of system operation, and hinders the soundness of the system operation of the power system. In addition, if a fraudulent retail electricity supplier causing an intentional imbalance is left unattended, fairness cannot be maintained with other retail electricity suppliers who are fulfilling their obligation to achieve the same amount at the same time. For this reason, it is desirable to extract retail electricity suppliers who are presumed to be causing imbalances intentionally so that they can be instructed to make improvements to dishonest retail electricity suppliers.

Although the technique described in Patent Document 1 can efficiently calculate the imbalance charge, it cannot extract electricity retailers who are presumed to be causing intentional imbalance.

The present invention has been made in view of the above, and an object thereof is to obtain a monitoring system capable of extracting a retail electricity supplier presumed to be causing an intentional imbalance.

In order to solve the above-described problems and achieve the object, a monitoring system according to the present invention is a plan management system for managing demand plans of retail electricity business operators who have entered into supply contracts with power transmission and distribution business operators. , the planned demand amount, which is the planned value of the demand amount in the demand plan, the information indicating the consumers who have contracts with the electricity retailer, and the results of measuring the amount of electricity for each consumer. and an imbalance calculation unit that calculates the amount. The monitoring system further includes a condition determination unit that extracts, based on the amount of imbalance, fraudulent business operator candidates who are retail electricity business operators who are presumed to be causing intentional imbalance.

ADVANTAGE OF THE INVENTION According to this invention, it is effective in being able to extract the retail electricity supplier presumed to generate|occur|produce intentional imbalance.

1 is a diagram showing a functional configuration example of a monitoring system according to a first embodiment; FIG. FIG. 4 is a diagram showing a configuration example of a demand balancing group to be monitored by the monitoring system according to the first embodiment; 1 is a diagram showing a configuration example of a computer system that implements the monitoring system according to the first embodiment; FIG. 3 is a flow chart showing an example of a power demand-supply monitoring process procedure of the monitoring system according to the first embodiment; A diagram showing an example of a screen display of an extracted business operator list in Embodiment 1 FIG. 11 is a diagram showing a functional configuration example of a monitoring system according to a second embodiment; A diagram showing an example of determination result information stored in the database of Embodiment 2 A diagram showing an example of a graph showing the power market price and the imbalance occurrence rate in time series according to the third embodiment A diagram showing an example of the correlation between the electricity market price and the imbalance occurrence rate in Embodiment 3 A diagram showing a configuration example of a representative contract demand balancing group to be processed by the monitoring system of the fourth embodiment FIG. 12 is a diagram showing a configuration example of a power generation balancing group to be processed by the monitoring system according to the fifth embodiment; FIG. FIG. 12 is a diagram showing an example where one power generation location belongs to a plurality of power generation balancing groups according to Embodiment 5; A diagram showing a configuration example of a demand suppression balancing group to be processed by the monitoring system according to the sixth embodiment Diagram showing an example where one demand location belongs to a plurality of demand restraint balancing groups in Embodiment 6

A monitoring system and a simultaneous power equality monitoring method according to embodiments of the present invention will be described below in detail with reference to the drawings. In addition, this invention is not limited by this embodiment.

Embodiment 1.
FIG. 1 is a diagram showing a functional configuration example of a monitoring system according to Embodiment 1 of the present invention. The monitoring system 100 of Embodiment 1 is set and operated by, for example, a power transmission and distribution business operator, and monitors the simultaneous same amount of power, that is, the power supply and demand balance. Note that the installer and operator of the monitoring system 100 are not limited to the power transmission and distribution business operator, and at least one of installation and operation may be implemented by other business operators, organizations, institutions, and the like. The monitoring system 100 is connected via a communication line to a cross-regional organization system 200 installed and managed by a cross-regional organization (hereinafter referred to as a cross-regional organization). The monitoring system 100 also includes a meter data management system (MDMS) 300 that manages the amount of electric power in 30-minute units (hereinafter referred to as 30-minute electric energy) measured by a power meter such as a smart meter. Connected via a communication line. The meter data management system 300 is generally installed and managed by a power transmission and distribution operator. Furthermore, the monitoring system 100 is connected via a communication line to a power trading system 400 installed and managed by a power exchange such as the Japan Electric Power Exchange (JEPX).

A retail electricity supplier submits a demand plan to the OCCTO. This demand plan is submitted, for example, one day in advance from the electricity retailer to the OCCTO. The demand plan contains planned values for demand in units of 30 minutes. The cross-regional organization system 200 manages the demand plan of each retail electricity supplier. The cross-regional organization system 200 includes a system called a switching support system, and may be composed of a plurality of systems. It manages the first contract information, which is the contract information regarding the contract between the electricity retailer and the consumer. The cross-regional organization system 200 manages demand plans submitted by each electricity retailer. In addition, the cross-regional organization system 200 manages imbalance unit prices. The imbalance unit price is the unit price of the imbalance charge paid by the power transmission and distribution company to the retail power company when an imbalance occurs, which is the difference between the power plan and the actual demand. be.

The power trading system 400 manages power trading. For example, in JEPX, one day is divided into 48 trading frames in 30-minute units for power to be delivered on the next day, and the power traded in each trading frame is treated as a commodity and traded. Here, as an example of the power exchange, power trading in JEPX is taken as an example, but the power exchange is not limited to JEPX, and the examples of trading are not limited to the examples described above. The power trading system 400 manages the power market price based on contracted results of power trading.

A power transmission and distribution company concludes a wheeling contract with a retail power company for transmitting power from its own power transmission and distribution system to the retail power company. A wheeling contract can be concluded for each electricity retailer as a unit, but it is also possible to conclude a wheeling contract for each unit called a demand balancing group. In other words, a demand balancing group is a group corresponding to one wheeling contract when one or more retail electric power companies and a power transmission and distribution company conclude one wheeling contract. Here, it is assumed that the wheeling contract is concluded for each demand balancing group. If an imbalance, which is the difference between the demand plan and the actual demand, occurs and a power shortage occurs, the retail electricity supplier pays the power transmission and distribution operator an imbalance charge as a penalty. At this time, if the transportation contract is concluded for each demand balancing group, the imbalance is calculated for each demand balancing group. In other words, the imbalance is the difference between the sum of the planned values of demand, which are the demand plans of retail electricity suppliers belonging to the same demand balancing group, and the sum of the actual demand values of retail electricity suppliers belonging to the same demand balancing group. .

FIG. 2 is a diagram showing a configuration example of a demand balancing group to be monitored by the monitoring system 100 according to the first embodiment. In the example shown in FIG. 2, one demand balancing group consists of one retail electricity supplier. A circle labeled L in FIG. 2 indicates a customer. A retail electricity supplier has contracts with multiple consumers.

Returning to the description of FIG. The monitoring system 100 of the first embodiment acquires the demand plan from the cross-regional organization system 200, acquires the 30-minute electric energy, which is the actual demand value, from the meter data management system 300, and the electric power market price from the electric power trading system 400. get. Then, the monitoring system 100 obtains the imbalance occurrence probability based on the demand plan and the 30-minute electric energy, and based on the imbalance occurrence probability, the retail electricity business that is presumed to have intentionally caused the imbalance. extract the person Hereinafter, a retail electricity supplier presumed to be causing an intentional imbalance extracted by the monitoring system 100 through the above-described processing is also referred to as a fraudulent supplier candidate.

As shown in FIG. 1, the monitoring system 100 of the first embodiment includes a contract master management unit 1, a plan management unit 2, a performance management unit 3, an imbalance unit price management unit 4, an electric power market price management unit 5, an imbalance calculation A unit 6 , a condition determination unit 7 , a display processing unit 8 and a form output unit 9 are provided.

The contract master management unit 1 of the monitoring system 100 acquires the first contract information, which is the contract information regarding the contract between the electricity retailer and the consumer, from the cross-regional organization system 200, and manages the first contract information. The first contract information includes a business operator code, which is identification information of a retail electricity business operator, and identification information of a customer who has a contract with the electricity retail business operator. The first contract information may include the business name. In addition, the contract master management unit 1 manages second contract information, which is contract information of the wheeling contract between the electricity retailer and the electricity transmission and distribution company. The second contract information includes, for each demand balancing group, identification information (business operator code) indicating a retail electricity business operator belonging to the demand balancing group, and the contract period of the wheeling contract. The contract period is the period during which the imbalance is settled. Since the second contract information is managed by the power transmission and distribution business operator, it is input to the monitoring system 100 by the operator of the power transmission and distribution business operator, or another device (not shown) that manages the second contract information. sent from.

The plan management unit 2 acquires and manages a demand plan for each demand balancing group submitted by a retail electricity supplier representing the demand balancing group from the cross-regional organization system 200 . In the present embodiment, one demand balancing group consists of one retail electricity supplier, so the demand balancing group is the demand plan of one retail electricity supplier. In other words, in the present embodiment, the plan management unit 2 manages the demand plans of the electricity retailers who have entered into supply contracts with the power transmission and distribution companies. The performance management unit 3 acquires the 30-minute electric energy that is the measurement result of the electric energy of each consumer from the meter data management system 300, and stores the time information indicating the time period in units of 30 minutes and the 30 minutes corresponding to the time period. The amount of electric power is associated with the consumer's identification information and managed as performance information. The imbalance unit price management unit 4 acquires the imbalance unit price from the cross-regional organization system 200 and manages it. The electricity market price management unit 5 acquires the electricity market price from the electricity trading system 400 and manages it.

Based on the amount of imbalance, the imbalance calculation unit 6 extracts a fraudulent business operator candidate who is a retail electricity business operator presumed to be causing an intentional imbalance. Specifically, the imbalance calculation unit 6 acquires the first contract information and the second contract information from the contract master management unit 1, acquires the demand plan of each demand balancing group from the plan management unit 2, and performs performance management. Acquire performance information from the unit 3. An imbalance amount for each demand balancing group is calculated based on the first contract information, the second contract information, the demand plan and the performance information. That is, the imbalance calculation unit 6 calculates the planned demand amount, which is the planned value of the demand amount in the demand plan, information indicating the consumers contracted with the retail electricity supplier, and the measurement result of the electric energy for each consumer. Based on, the imbalance amount is calculated. The condition determination unit 7 acquires the imbalance amount from the imbalance calculation unit 6 , acquires the imbalance unit price from the imbalance unit price management unit 4 , and acquires the electricity market price from the electricity market price management unit 5 . Based on the imbalance amount, the imbalance unit price, and the electric power market price, the condition determination unit 7 extracts retail electric power companies that meet predetermined conditions. The display processing unit 8 displays the electricity retailers extracted by the condition determination unit 7 on the screen. The form output unit 9 outputs the electricity retailer extracted by the condition determination unit 7 as a form.

Next, hardware that implements the monitoring system 100 of this embodiment will be described. The monitoring system 100 of this embodiment is realized by a computer system. The computer system functions as the monitoring system 100 by executing a monitoring program, which is a program describing the processing in the monitoring system 100, on the computer system. FIG. 3 is a diagram showing a configuration example of a computer system that implements the monitoring system 100 of the first embodiment. As shown in FIG. 3, this computer system comprises a control section 101, an input section 102, a storage section 103, a display section 104, a communication section 105, and an output section 106, which are connected via a system bus 107. there is

In FIG. 3, the control unit 101 is, for example, a CPU (Central Processing Unit) or the like, and executes a monitoring program in which processes in the monitoring system 100 of the present embodiment are described. The input unit 102 is composed of, for example, a keyboard and a mouse, and is used by the user of the computer system to input various information. The storage unit 103 includes various memories such as RAM (Random Access Memory) and ROM (Read Only Memory) and storage devices such as a hard disk, and stores programs to be executed by the control unit 101 and necessary data obtained in the course of processing. store data, etc. The storage unit 103 is also used as a temporary storage area for programs. A display unit 104 is configured by an LCD (liquid crystal display panel) or the like, and displays various screens to the user of the computer system. A communication unit 105 is a receiver and a transmitter that perform communication processing. The output unit 106 is a printer or the like. Note that FIG. 3 is an example, and the configuration of the computer system is not limited to the example in FIG.

Here, an example of the operation of the computer system until the monitoring program of the present embodiment becomes executable will be described. In the computer system having the above configuration, for example, a monitoring program is stored in storage unit 103 from a CD-ROM or DVD-ROM set in a CD (Compact Disc)-ROM or DVD (Digital Versatile Disc)-ROM drive (not shown). installed on. Then, the monitoring program read out from the storage unit 103 is stored in the storage unit 103 when the monitoring program is executed. In this state, control unit 101 executes processing as monitoring system 100 of the present embodiment according to the program stored in storage unit 103 .

In the above description, a program describing processing in the monitoring system 100 is provided using a CD-ROM or DVD-ROM as a recording medium. For example, a program provided by a transmission medium such as the Internet via the communication unit 105 may be used depending on the capacity.

The contract master management unit 1, the plan management unit 2, the performance management unit 3, the imbalance unit price management unit 4, the electricity market price management unit 5, the imbalance calculation unit 6, and the condition determination unit 7 shown in FIG. It is realized by the control unit 101 and the storage unit 103 . A communication unit 105 is also used to realize the contract master management unit 1, the plan management unit 2, the performance management unit 3, the imbalance unit price management unit 4, and the electric power market price management unit 5. FIG. The display processing unit 8 shown in FIG. 1 is implemented by the display unit 104 shown in FIG. The form output unit 9 shown in FIG. 1 is implemented by the output unit 106 shown in FIG. Note that the monitoring system 100 may be realized by a plurality of computer systems.

Next, the operation of the monitoring system 100 of this embodiment will be described. FIG. 4 is a flow chart showing an example of a power supply and demand monitoring process procedure of the monitoring system 100 according to the first embodiment. FIG. 4 shows the processing for one demand balancing group, and the monitoring system 100 performs the processing shown in FIG. 4 for each demand balancing group to be monitored. Here, as described above, it is assumed that one demand balancing group consists of one electricity retailer.

As shown in FIG. 4, the imbalance calculation unit 6 uses the demand plan obtained from the plan management unit 2 and the performance information obtained from the performance management unit 3 to calculate the imbalance amount of the demand balancing group to be processed. (step S1). Specifically, the imbalance calculation unit 6 acquires the second contract information from the contract master management unit 1 and acquires the business code of the electricity retailer belonging to the demand balancing group to be processed. Note that identification information such as a business name may be used instead of the business code. The imbalance calculation unit 6 acquires the first contract information from the contract master management unit 1, and converts the identification information of the consumer who has a contract with the retail electricity supplier belonging to the demand balancing group to be processed into the first contract information. Acquired from contract information. Then, the imbalance calculation unit 6 acquires the performance information corresponding to the customer's identification information from the performance management unit 3 . Based on the actual performance information, the imbalance calculation unit 6 calculates the sum of the 30-minute power consumption of the consumers under contract with the electricity retailer as the actual demand amount, which is the actual demand value. The imbalance calculation unit 6 calculates “planned demand amount−actual demand amount” as the imbalance amount in units of 30 minutes. The imbalance is defined as a positive value when there is a surplus of electricity and a negative value when there is a shortage of electricity. ”. Actual demand and planned demand are the values at the sending end corrected for transmission line losses. The imbalance calculation unit 6 outputs the calculated imbalance amount to the condition determination unit 7 together with the identification information of the electricity retailer such as the company code and company name.

Based on the imbalance amount, the condition determination unit 7 calculates the imbalance occurrence rate as a relative value of the imbalance amount in units of 30 minutes (step S2). Specifically, the imbalance calculation unit 6 calculates the imbalance occurrence rate by dividing the imbalance amount by the actual demand amount. That is, imbalance occurrence rate=imbalance amount/actual demand amount.

The condition determination unit 7 determines whether or not the imbalance occurrence rate is equal to or greater than a threshold (first threshold) (step S3). Specifically, the determination of whether the imbalance occurrence rate is equal to or higher than the first threshold is made when the imbalance occurrence rate is equal to or higher than the first threshold even in one of the 30-minute time slots. For example, it may be determined as Yes in step S3, or if the average value, median value, or variance of the imbalance occurrence probability within a certain period of time in each 30-minute unit is equal to or greater than the first threshold value, then in step S3 You may make it determine with Yes. Also, the first threshold may be set by the operator, or may be a value calculated using past information by techniques such as machine learning.

If the imbalance occurrence rate is equal to or greater than the first threshold (step S3 Yes), the condition determination unit 7 extracts the retail electricity supplier to be processed as a fraudulent supplier candidate and registers it in the extracted supplier list (step S6). Specifically, the condition determination unit 7 stores identification information such as the business operator code and business name of the fraudulent operator candidate determined to be an unauthorized operator candidate, together with information indicating that it was determined as Yes in step S3, Add to the extraction business list. The condition determination unit 7 holds an extracted business operator list.

If the imbalance occurrence rate is less than the first threshold (No at step S3), the condition determination unit 7 determines that the imbalance occurrence rate in the time zone satisfying the electric power market price>imbalance unit price is equal to or greater than the threshold (second threshold). (step S4). This is because in the time period when the electricity market price > the imbalance unit price, it is more economical to generate an imbalance and pay the imbalance charge to the power transmission and distribution business operator than to procure electricity from the electricity market. This is because there is a possibility that the retail electricity supplier will consider it. If there are a plurality of time periods that satisfy the electric power market price>imbalance unit price, as in step S3, if the imbalance occurrence rate is equal to or higher than the second threshold even in one time period, it is determined as Yes in step S4. Alternatively, if the average value, median value, or variance of the imbalance occurrence probability in each time period within a certain period is equal to or greater than the second threshold value, then Yes may be determined in step S4. The second threshold here may also be set by the operator, or may be a value calculated using past information by techniques such as machine learning.

When the imbalance occurrence rate in the time period satisfying the condition of electric power market price>imbalance unit price is equal to or higher than the second threshold (step S4 Yes), the condition determination unit 7 proceeds to the process of step S6. Specifically, if the result of step S4 is Yes and the process of step S6 is performed, the condition determination unit 7 identifies the fraudulent operator candidate, such as the operator code and operator name. The information is added to the extracted business operator list along with the information indicating that it was determined as Yes in step S4. If the imbalance occurrence rate in the time zone satisfying the electric power market price>imbalance unit price is less than the second threshold (step S4 No), the retail electricity supplier to be processed has no problem, that is, it is not a fraudulent supplier candidate. , (step S5). In the above example, determinations are made in both steps S3 and S4, but only one of them may be made.

An extraction business operator list showing fraudulent business operator candidates extracted as described above is displayed on the screen by the display processing unit 8 . Further, it is output as a form by the form output unit 9 . FIG. 5 is a diagram showing an example of a screen display of an extraction business operator list according to the first embodiment. In FIG. 5, a business operator code indicating a retail electricity business operator, a business name, which is the name of the retail electricity business operator, an imbalance occurrence rate, and matching conditions are displayed. The imbalance occurrence rate is the imbalance occurrence rate used for determination when Yes is determined in step S3 or step S4. The matching condition indicates which condition is matched for extraction. If Yes is determined in step S3, condition #1 is selected, and if Yes is determined in step S4, condition #2 is selected.

As described above, in Embodiment 1, the imbalance occurrence rate is calculated from the imbalance amount, and whether or not the imbalance occurrence rate is equal to or greater than the threshold is determined in all time periods or when the power market price > imbalance unit price. time zone. This makes it possible to extract electricity retailers that are presumed to be causing intentional imbalances.

Embodiment 2.
FIG. 6 is a diagram of a functional configuration example of a monitoring system according to a second embodiment; The configuration of the monitoring system 100a of the second embodiment is the same as that of the monitoring system 100 of the first embodiment, except that the database 10 is added to the monitoring system 100 of the first embodiment. Components having functions similar to those of the first embodiment are denoted by the same reference numerals as those of the first embodiment, and overlapping descriptions are omitted. Hereinafter, the points different from the first embodiment will be mainly described.

The monitoring system 100a of the second embodiment stores the information about the electricity retailer determined as Yes in the determinations of steps S3 and S4 in the condition determination unit 7 of the first embodiment in the database 10 as determination result information. . The operator uses the monitoring system 100a to display the history of the information stored in the database 10 and to output it to a form, thereby identifying the retail electric power company that is continuously determined to be a fraudulent company candidate. can do. As a result, if you are judged as a fraudulent business candidate in the short term, you may be judged as a fraudulent business candidate by chance, not intentionally, but by chance. If so, the degree of maliciousness is low. On the other hand, if it is continuously determined as a fraudulent business candidate for a long period of time, the degree of maliciousness is high, and it is desirable to give priority to investigation and improvement guidance for the relevant retail electricity business.

FIG. 7 is a diagram showing an example of determination result information stored in the database 10 according to the second embodiment. In general, imbalance settlement is carried out monthly, so the condition determination unit 7 adds information indicating the target month to the information stored as the extracted business operator list described in Embodiment 1, and determines the result. It is stored in the database 10 as information. That is, the database 10 stores the fraudulent business operator candidates together with information indicating the time period during which the imbalance amount was calculated. Note that the database 10 is implemented by the storage unit 103 shown in FIG.

The determination result information stored in the database 10 is displayed on the screen by the display processing unit 8 . Further, the determination result information stored in the database 10 is output as a form by the form output unit 9 .

As described above, in the second embodiment, the retail electricity that continuously satisfies the conditions by providing a database that continuously holds data with respect to the simultaneous power same amount monitoring system of the first embodiment. Realize extracting and outputting business operators.

Embodiment 3.
Next, a monitoring system 100 according to a third embodiment of the invention will be described. The configuration of the monitoring system 100 of the third embodiment is the same as that of the monitoring system 100 of the first embodiment, but part of the processing of the condition determination unit 7 is different from that of the first embodiment. Other components are the same as in the first embodiment.

In the present embodiment, the condition determination unit 7 analyzes the trend of the imbalance occurrence rate and the electricity market price, and uses the analysis results to determine whether the retail electricity supplier presumed to intentionally cause the imbalance. to extract

FIG. 8 is a diagram showing an example of a graph showing the power market price and the imbalance occurrence rate in chronological order according to the third embodiment. In FIG. 8, the horizontal axis indicates time, and the vertical axis indicates the electricity market price or imbalance occurrence rate. The solid line shown in FIG. 8 indicates the electricity market price, and the dashed line indicates the imbalance occurrence rate. As shown in FIG. 8, as described in Embodiment 1, in the time period when the electricity market price>the imbalance unit price, the retail electricity supplier is more likely to generate an imbalance than to procure electricity from the electricity market. It would be less costly to pay the imbalance charge to the transmission and distribution company. For this reason, it is predicted that the rate of occurrence of imbalance will rise as the electricity market price soars for retail electric power companies that intentionally cause imbalance. In other words, for retail electric power companies that intentionally cause imbalances, there is a correlation between the electricity market price and the rate of occurrence of imbalances.

FIG. 9 is a diagram showing an example of the correlation between the electricity market price and the imbalance occurrence rate according to the third embodiment. Each black circle point shown in FIG. 9 represents a set of data of an electricity market price and an imbalance occurrence rate corresponding to each time period of 30 minutes. In FIG. 9, the horizontal axis indicates the electricity market price, and the vertical axis indicates the imbalance occurrence rate. The straight line shown in FIG. 9 indicates a regression line calculated from the electric power market price and the imbalance occurrence rate corresponding to each time period in units of 30 minutes. As described above, if the imbalance occurrence rate rises as the electricity market price rises, the correlation is positive. Focusing on this correlation, the third embodiment calculates the correlation coefficient between the electricity market price and the imbalance incidence rate, and the condition determination unit 7 determines that the candidate is a fraudulent business operator if the correlation coefficient is equal to or greater than a threshold value. , to be registered in the extraction business list.

The condition determination unit 7 may perform determination using the correlation coefficient described above instead of steps S3 and S4 shown in FIG. may be used for determination. Further, in addition to steps S3 and S4 shown in FIG. 4, determination using the correlation coefficient described above may be performed. Note that the monitoring system 100 of the third embodiment may be provided with the database 10 as in the second embodiment, and may store the extraction business operator list and the target month as determination result information in the database 10 .

As described above, in Embodiment 3, the condition determination unit 7 of the monitoring system 100 calculates the correlation coefficient between the imbalance rate and the electricity market price, and based on the correlation coefficient, Extract the retail electric power companies that are estimated to generate the balance. This makes it possible to extract electricity retailers that are presumed to be causing intentional imbalances.

Embodiment 4.
Next, the monitoring system 100 of Embodiment 4 according to the present invention will be described. The configuration of the monitoring system 100 of the fourth embodiment is similar to that of the monitoring system 100 of the first embodiment. In this embodiment, part of the processing performed by each unit is different. Hereinafter, the points different from the first embodiment will be mainly described.

In the first embodiment, an example in which one demand balancing group is composed of one retail electricity supplier has been described. Sometimes it is. In the present embodiment, a method will be described for extracting electricity retailers who are presumed to be causing imbalances intentionally even when a representative contract scheme is used.

FIG. 10 is a diagram showing a configuration example of a representative contract demand balancing group to be processed by the monitoring system 100 according to the fourth embodiment. As shown in FIG. 10, in the representative contract demand balancing group, a plurality of retail electric power companies form a demand balancing group. In the representative contract demand balancing group, one of the plurality of retail electricity suppliers is the representative, and the other retail electricity suppliers are children. In a representative contract, a demand balancing group is composed of a plurality of electricity retailers, so the method described in Embodiment 1 cannot identify which electricity retailer is dishonest. Therefore, in the fourth embodiment, the plan management unit 2 acquires not only the demand plan for each demand balancing group but also the demand plan for each electricity retailer from the cross-regional organization system 200 . Along with the demand plan for each demand balancing group, a demand plan for each retail electricity supplier, which is a breakdown of each retail electricity supplier belonging to the demand balancing group, is submitted to OCCTO. Therefore, the cross-regional organization system 200 holds not only the demand plan for each demand balancing group but also the demand plan for each retail electricity supplier.

In step S1 shown in FIG. 4, the monitoring system 100 of the fourth embodiment calculates an imbalance amount, which is the difference between the planned demand value and the actual demand value for each 30-minute period, for each electric power retailer. calculate. The processing after step S2 is also performed for each electricity retailer. Operations of the present embodiment other than those described above are the same as those of the first embodiment. Note that the monitoring system 100 of the fourth embodiment may be provided with the database 10 as in the second embodiment, and may store the extraction business operator list and the target month as determination result information in the database 10 . In addition, the monitoring system 100 described in Embodiment 3 acquires the demand plan for each retail electricity supplier, obtains the imbalance occurrence rate for each retail electricity supplier, and intentionally It is also possible to extract a retail electric power company that is presumed to be causing a large imbalance.

As described above, in the fourth embodiment, when a representative contract is concluded with a power transmission and distribution business operator to configure a demand balancing group with a plurality of retail electricity business operators, the plan management unit 2 The demand plan for each electricity retailer constituting the balancing group is managed, and the imbalance calculation unit 6 calculates the amount of imbalance using the demand plan for each electricity retailer. As a result, even in the case of a representative contract, it is possible to extract a retail electricity supplier presumed to be causing an intentional imbalance.

Embodiment 5.
Next, a monitoring system 100 according to Embodiment 5 of the present invention will be described. The configuration of the monitoring system 100 of the fifth embodiment is similar to that of the monitoring system 100 of the first embodiment. In this embodiment, part of the processing performed by each unit is different. Hereinafter, the points different from the first embodiment will be mainly described.

In the fifth embodiment, not only the demand balancing group but also the power generation balancing group is monitored for imbalances, and power generation companies that are presumed to be causing intentional imbalances are extracted.

FIG. 11 is a diagram showing a configuration example of a power generation balancing group to be processed by the monitoring system 100 according to the fifth embodiment. In FIG. 11, one power generation site, that is, a power generation facility at one power generation site is indicated by a circle labeled with G. In FIG. A power generation balancing group is a group that is composed of one or more power generation sites and concludes one power generation adjustment supply contract. Each power generation balancing group is required to match the power generation plan with the actual power generation amount. Unlike a retail electricity business, a power generation business can divide the power generation locations it manages into a plurality of power generation balancing groups and conclude a power generation adjustment supply contract for each power generation balancing group, as shown in FIG.

FIG. 12 is a diagram showing an example in which one power generation location belongs to a plurality of power generation balancing groups according to the fifth embodiment. As shown in FIG. 12, one power generation location may belong to multiple power generation balancing groups corresponding to different power producers.

If for some reason the actual amount of power generation falls short of the planned amount, the power generator needs to procure electricity from the electricity trading market. Therefore, if the electricity market price is higher than the penalty charge due to imbalance, power producers may cause intentional imbalances, just like retail electricity producers.

In this embodiment, in addition to the information described in the first embodiment, the contract master management unit 1 further acquires third contract information related to the power generation adjustment supply contract from the cross-regional organization system 200 . The third contract information includes contents based on the contract between the power transmission/distribution business operator and the power generation business operator and the contract between the power generation business operator and the power generation business operator. The third contract information includes information identifying a power generation balancing group, information identifying a power generation operator corresponding to the power generation balancing group, and information identifying a power generation location belonging to the power generation balancing group. The plan management unit 2 acquires the power generation plan of the power generation balancing group in addition to the information described in the first embodiment. In addition to the information described in the first embodiment, the performance management unit 3 further acquires the measured value of the power generation amount for each power generation location from the meter data management system 300, for example. The method of acquiring the power generation amount is not limited to the method of acquiring from the meter data management system 300, and may be a method of acquiring the measured value through another route or any other method. .

The imbalance calculation unit 6 calculates the imbalance amount for each power generation balancing group based on the power generation plan and the measured value of the power generation amount, that is, the actual value. Specifically, the imbalance calculation unit 6 obtains the total amount of measured values of the power generation amounts of the power generation locations belonging to the power generation balancing group as the actual power generation amount. The imbalance calculator 6 calculates the imbalance amount by subtracting the planned power generation amount (absolute value) from the actual power generation amount (absolute value). The condition determination unit 7 calculates the imbalance occurrence rate by dividing the imbalance amount by the actual power generation amount (absolute value). At this time, if one power generation location belongs to a plurality of power generation balancing groups as illustrated in FIG. journalize by apportioning Then, the imbalance calculation unit 6 calculates the imbalance amount by the following formula (1) for each power generation balancing group.
Imbalance amount = Journalized power generation amount - Planned power generation amount (1)

The condition determination unit 7 calculates the imbalance occurrence rate by dividing the imbalance amount by the sorted power generation amount. Then, by making determinations in steps S3 and S4 for each power generation balancing group in the same manner as in Embodiment 1, the power generation companies corresponding to the power generation balancing groups determined as Yes are intentionally imbalanced. It is extracted as a power generation company that is presumed to be active and registered in the extraction company list. Operations of the present embodiment other than those described above are the same as those of the first embodiment. In the above description, an example in which the monitoring system 100 of the first embodiment also monitors the power generation balancing group has been described. In addition, the power generation balancing group may also be monitored. In addition, the determination method using the imbalance rate for extracting the power generation company that is presumed to be causing the intentional imbalance at this time uses the correlation coefficient as in the third embodiment. can be anything.

As described above, in the fifth embodiment, by monitoring the imbalance not only in the demand balancing group but also in the power generation balancing group, the power generation company that is presumed to be causing the intentional imbalance is identified. can be extracted.

Embodiment 6.
Next, a monitoring system 100 according to Embodiment 6 of the present invention will be described. The configuration of the monitoring system 100 of the sixth embodiment is similar to that of the monitoring system 100 of the first embodiment. In this embodiment, part of the processing performed by each unit is different. Hereinafter, the points different from the first embodiment will be mainly described.

In the sixth embodiment, not only the demand balancing group but also the demand restraint balancing group is monitored for imbalance, and demand restraint business operators presumed to have intentionally caused the imbalance are extracted. A demand control balancing group is a group that becomes a unit when a power transmission and distribution company treats the power saved by the demand control company as generated power and supplies it to a retail power company or the like.

FIG. 13 is a diagram showing a configuration example of a demand control balancing group to be processed by the monitoring system 100 according to the sixth embodiment. In FIG. 13, one demand location, ie, a demand facility at one demand location, is indicated by a circle labeled D. In FIG. A demand-suppression balancing group is a group composed of one or more demand locations and connecting one demand-suppression amount adjustment supply. Each demand control balancing group is required to match the demand control plan with the actual value of the demand control amount. Unlike a retail electricity supplier, a demand suppression supplier divides its own demand locations into a plurality of demand suppression balancing groups and connects demand suppression amount adjustment supply for each demand suppression balancing group, as shown in FIG. can be done.

FIG. 14 is a diagram showing an example in which one demand place belongs to a plurality of demand restraint balancing groups according to the sixth embodiment. As shown in FIG. 14, one demand location may belong to multiple demand restraint balancing groups corresponding to different demand restraint operators.

Similarly to retail electric power companies, demand control companies need to procure electricity from the electricity trading market if demand control cannot be achieved for some reason. Therefore, if the electricity market price is higher than the penalty charge due to imbalance, demand restraint companies may cause intentional imbalances in the same way as retail electricity companies do.

In this embodiment, in addition to the information described in the first embodiment, the contract master management unit 1 further acquires fourth contract information relating to demand suppression amount adjustment supply from the cross-regional organization system 200 . The fourth contract information includes contents based on the contents of the contract between the power transmission and distribution business operator and the demand control business operator and the contract between the demand control business operator and the consumer. The fourth contract information includes information identifying a demand restraint balancing group, information identifying a demand restraint business operator corresponding to the demand restraint balancing group, and information identifying a demand place belonging to the demand restraint balancing group. In addition to the information described in the first embodiment, the plan management unit 2 further acquires the demand curtailment plan of the demand curtailment balancing group. In addition to the information described in the first embodiment, the performance management unit 3 further acquires the performance value of the demand suppression amount. For example, the actual result management unit 3 acquires the actual value of the amount of demand suppression by subtracting the actual value of demand from the baseline acquired from the cross-regional organization system 200 . Note that the method of acquiring the actual value of the demand suppression amount is not limited to this example, and any method may be used.

The imbalance calculation unit 6 calculates the imbalance amount for each demand restraint balancing group based on the demand restraint plan and the measured value of the demand restraint amount, ie, the actual value, for each demand restraint balancing group. Specifically, the imbalance calculation unit 6 obtains the total sum of measured values of the demand restraint amounts of the demand locations belonging to the demand restraint balancing group as the actual demand restraint amount. The imbalance calculation unit 6 calculates the imbalance amount by subtracting the planned demand suppression amount (absolute value), which is the planned value of the demand suppression amount, from the actual demand suppression amount (absolute value), which is the actual value of the demand suppression amount. . The condition determination unit 7 calculates the imbalance occurrence rate by dividing the imbalance amount by the actual demand suppression amount. At this time, if one demand location belongs to a plurality of demand suppression balancing groups as illustrated in FIG. Journalize by apportioning based on the containment plan. Then, the imbalance calculation unit 6 calculates the imbalance amount by the following formula (2) for each demand suppression balancing group.
Imbalance amount = Journalized demand control amount - planned value in the demand control plan (2)

The condition determination unit 7 calculates the imbalance occurrence rate by dividing the imbalance amount by the sorted demand suppression amount. Then, by making determinations in steps S3 and S4 for each demand-suppression balancing group in the same manner as in the first embodiment, the demand-suppression business operator corresponding to the demand-suppression balancing group determined as Yes is intentionally imbalanced. It is extracted as a demand suppression business that is presumed to be generated and registered in the extracted business operator list. Operations of the present embodiment other than those described above are the same as those of the first embodiment. In the above description, an example in which the monitoring system 100 of the first embodiment monitors the demand suppression balancing group is also described. Similarly, the demand restraint balancing group may also be monitored. In addition, the determination method using the imbalance rate for extracting the demand suppression business operators who are presumed to be causing the intentional imbalance at this time uses the correlation coefficient as in the third embodiment. may be used.

As described above, in the sixth embodiment, by monitoring the imbalance not only in the demand balancing group but also in the demand suppression balancing group, the demand suppression business that is presumed to cause an intentional imbalance can be extracted.

The configuration shown in the above embodiment shows an example of the content of the present invention, and it is possible to combine it with another known technology, and one configuration can be used without departing from the scope of the present invention. It is also possible to omit or change the part.

1 contract master management unit, 2 plan management unit, 3 performance management unit, 4 imbalance unit price management unit, 5 electric power market price management unit, 6 imbalance calculation unit, 7 condition determination unit, 8 display processing unit, 9 form output unit , 10 database, 100, 100a monitoring system, 200 cross-regional agency system, 300 meter data management system, 400 electricity trading system.

Claims (11)

a planning management department that manages the demand plans of electricity retailers who have entered into supply contracts with power transmission and distribution companies;
imbalance based on the planned demand amount, which is the planned value of the demand amount in the demand plan, information indicating consumers who have contracts with the retail electricity supplier, and the power amount measurement results for each of the consumers; an imbalance calculation unit that calculates the amount;
a condition determination unit that extracts a fraudulent business operator candidate who is a retail electricity business operator who is presumed to have intentionally caused an imbalance based on the imbalance amount;
A surveillance system comprising: The condition determination unit calculates a total of measurement results of the amount of power of the consumer under contract with the electricity retailer as an actual demand, and calculates the absolute value of the actual demand from the absolute value of the planned demand. is subtracted by the absolute value of the actual demand amount, and the intentional imbalance is determined based on whether the imbalance rate is equal to or greater than a first threshold. 2. The monitoring system according to claim 1, wherein a retail electricity supplier that is presumed to be generating is extracted. The condition determination unit determines whether or not the imbalance rate in a time period when the electricity market price, which is the price of electricity traded on the electricity market, is higher than the unit price of the imbalance rate is equal to or greater than a second threshold. 3. The monitoring system according to claim 2, wherein a retail electricity supplier presumed to cause an intentional imbalance is extracted. 4. The monitoring system according to any one of claims 1 to 3, further comprising a display processing unit that displays the fraudulent operator candidate. 5. The monitoring system according to any one of claims 1 to 4, further comprising a form output unit that outputs the fraudulent operator candidate as a form. a database that stores the fraudulent business operator candidate together with information indicating the time when the imbalance amount was calculated;
6. A surveillance system according to any one of claims 1 to 5, comprising: The condition determination unit calculates a total of measurement results of the amount of power of the consumer under contract with the electricity retailer as an actual demand, and calculates the absolute value of the actual demand from the absolute value of the planned demand. is subtracted by the absolute value of the actual demand, and the correlation coefficient between the imbalance rate and the electricity market price, which is the price of electricity traded on the electricity market, is calculated. 2. The monitoring system according to claim 1 , wherein a retail electricity supplier presumed to cause an intentional imbalance is extracted based on the correlation coefficient. When a representative contract has been concluded with the power transmission and distribution business operator to configure a demand balancing group with a plurality of retail electricity business operators, the plan management department is responsible for each of the retail electricity business operators constituting the demand balancing group. and the imbalance calculation unit calculates the imbalance amount using the demand plan for each electricity retailer. monitoring system. The plan management unit further manages the power generation plan of the power generation business that has concluded a power generation contract with the power transmission and distribution business operator for each power generation balancing group,
The imbalance calculation unit calculates a planned power generation amount that is a planned value of the power generation amount in the power generation plan for each power generation balancing group, information indicating the power generation business to which the power generation balancing group belongs, and power generation belonging to the power generation balancing group. calculating the amount of imbalance based on the information indicating the location and the measurement result of the amount of power for each power generation location;
2. The condition determination unit further extracts a power generation business operator presumed to be causing the imbalance intentionally as the fraudulent business operator candidate based on the imbalance amount. 9. The monitoring system according to any one of 8. The plan management unit further manages the demand control plan of the demand control operator who has concluded a contract on demand control with the power transmission and distribution company as a unit of the demand control balancing group,
The imbalance calculation unit includes: a planned demand suppression amount that is a planned value of the demand suppression amount in the demand suppression plan for each of the demand suppression balancing groups; information indicating the demand suppression operator to which the demand suppression balancing group belongs; calculating an imbalance amount based on information indicating a demand location belonging to a demand suppression balancing group and a measurement result of the demand suppression amount for each demand location;
3. The condition determination unit further extracts a demand-suppressing business operator presumed to be causing the imbalance intentionally as the fraudulent business candidate based on the imbalance amount. 10. A surveillance system according to any one of 1 to 9. A simultaneous power equality monitoring method in a monitoring system that monitors the simultaneous power equality and includes a plan management unit, an imbalance calculation unit, and a condition determination unit ,
a first step in which the plan management unit manages a demand plan of a retail electricity supplier that has concluded a supply contract with a power transmission and distribution operator;
The imbalance calculation unit provides the planned demand amount, which is the planned value of the demand amount in the demand plan, information indicating the consumers who have contracts with the retail electricity supplier, and the measurement result of the electric energy for each of the consumers. a second step of calculating an imbalance amount based on
a third step in which the condition determination unit extracts a fraudulent business operator candidate who is a retail electricity business operator presumed to be causing an intentional imbalance based on the imbalance amount;
A simultaneous power equality monitoring method, comprising:

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