Vicarious execution device for power demand / supply operation

Abstract

To provide a vicarious execution device for power demand / supply operation that enables efficient agency business of power demand / supply operations.SOLUTION: A device is configured to: acquire actual values of a power generation amount of a power generation facility belonging to an electric utility company for which a business operator performing an agency business for operations regarding demand / supply operations performs the agency business and a demand amount of a consumer, as well as market trend data including an imbalance charge unit price; calculate forecast values at the time of actual power demand / supply for each of the power generation amount and the demand amount from the actual values; determine the priority of business groups that summarize the demand / supply operation business for each business consignment contract using at least one of operation data including the actual values and the forecast values, the market trend data, and contract information relating to the business consignment contract for the demand / supply operation business; and generate a list screen in which the business groups are arranged in order of priority and cause a display device 201 to display it, thereby enabling direct transition from the list screen to an operation screen for inputting instructions relating to the demand / supply operation business without transition to a monitoring screen showing detailed information for each demand / supply operation business.SELECTED DRAWING: Figure 5

Description

[Technical field]

[0001] The present disclosure relates to an electric power supply and demand operation agent device used for an agent task related to electric power supply and demand operation. [Background technology]

[0002] In recent years, power supply and demand management agents have entered the market to take on the power supply and demand management work of electric power companies, especially small-scale companies with limited human resources and know-how. Power supply and demand management agents are required to respond quickly to supply and demand balance fluctuations and system troubles regarding the power generation facilities and consumers of multiple entrusted electric power companies.

[0003] In a monitoring and control device that monitors and controls equipment installed in a wide area, such as a power grid system, for example, Patent Document 1 divides the work between individual display devices used by each operator and a large-screen display device on which multiple operators work cooperatively, enabling a rapid response to changes in operating conditions that require urgent attention. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2000-148236 A Summary of the Invention [Problem to be solved by the invention]

[0005] However, with conventional monitoring and control devices, when an abnormality occurs in multiple monitored pieces of equipment, the priority of the response is not presented, and detailed information about the abnormality is checked on the monitoring screen for each piece of equipment before moving to the operation screen, making it inefficient to take action.

[0006] The present disclosure has been made to solve the above-mentioned problems, and aims to provide an electricity supply and demand operation agency device that displays information regarding the electricity supply and demand operations of multiple electric power suppliers in one place, clearly indicates the operations of electric power suppliers with high priority, and directly transitions to an operation screen for that operation, thereby enabling the efficient performance of electricity supply and demand operation agency work. [Means for solving the problem]

[0007] The system comprises a data acquisition unit that acquires actual values ​​for the amount of power generated by power generation facilities and the amount of demand by customers belonging to the electric utility for which the business operator acts on behalf of the business operator in charge of power supply and demand operations, and market data including the imbalance fee unit price; a forecast calculation unit that calculates predicted values ​​for the time when actual power supply and demand occurs for each of the amount of power generated and the demand from the actual values; a priority evaluation unit that determines the priority of business groups that group together business operations for each business outsourcing contract using at least one of the operational data including the actual values ​​and the predicted values, the market data, and the contract information of the business outsourcing contract for the business outsourcing operations; a business list generation unit that generates a list screen in which business groups are arranged in order of priority and displays it on a display device; and a business processing unit that transitions directly from the list screen to an operation screen for inputting instructions related to the business, without transitioning to a monitoring screen showing detailed information for each business operation. Effect of the Invention

[0008] According to the power supply and demand operation agent device of the present disclosure, it is possible to efficiently carry out operations related to the operation of power supply and demand on behalf of a plurality of electric power suppliers. [Brief description of the drawings]

[0009] [Figure 1] FIG. 1 is a block diagram showing a power supply and demand management agent device according to a first embodiment. [Diagram 2] FIG. 13 is a diagram showing an example of a data table of contract information stored in an outsourcing contract information storage unit according to the first embodiment; [Diagram 3] FIG. 1 is a block diagram showing a hardware configuration of a computer system that realizes a power supply and demand management agent device according to a first embodiment. [Figure 4] FIG. 13 is a diagram showing a display example of a list screen of power supply and demand management operations in the first embodiment. [Diagram 5] A flowchart showing a process for displaying a list screen of power supply and demand management operations in the first embodiment. [Figure 6] FIG. 13 is a diagram showing a display example of an operation screen for power supply and demand management in the first embodiment. [Figure 7] A flowchart showing a process for determining the priority order of the service group 4 using the assumed imbalance charge in the first embodiment. [Figure 8] A block diagram showing a power supply and demand management agent device according to a second embodiment. [Figure 9] FIG. 13 is a diagram showing an example of a data table of business performance data stored in a business performance storage unit according to the second embodiment; [Figure 10] A flowchart showing a process of predicting the occurrence of a demand operation task using a task occurrence prediction model in the second embodiment. [Figure 11] A block diagram showing a power supply and demand management agent device according to a third embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] Embodiment 1 The first embodiment will be described in detail with reference to FIG. 1. FIG. 1 is a block diagram showing a configuration of an electric power supply and demand operation agent 100 according to the first embodiment. The electric power supply and demand operation agent 100 is an apparatus used when an electric power supply and demand operation agent performs operations related to the electric power supply and demand operation of power generation facilities and consumers managed by an electric power utility. Specific examples of operations related to the electric power supply and demand operation include forecasts of demand and power generation based on weather forecasts, supply and demand plans based on forecast values ​​of demand and power generation, market trading of power shortages or surplus power, submission of plans related to supply and demand, and monitoring and control of supply and demand results. Hereinafter, these operations related to the electric power supply and demand operation are referred to as supply and demand operation operations. The electric power supply and demand operation agent receives service contracts 2 that include multiple supply and demand operation operations from multiple electric power utilities, and performs supply and demand operation operations on behalf of the electric power utilities. Hereinafter, the electric power utility that is the entruster of the service contracts 2 is simply referred to as the entrusting operator. Here, it is not necessary that there is a one-to-one correspondence between the outsourcing business operator and the outsourcing contract 2, and there may be two or more outsourcing contracts 2 for one outsourcing business operator.

[0011] The power supply and demand management agent 100 is connected to a plurality of terminals 1 installed in power generation facilities or consumers belonging to each service outsourcing contract 2 via a network 200 such as the Internet. The power supply and demand management agent 100 is further connected to a general power transmission and distribution business operator (not shown), a Japan Electric Power Exchange (hereinafter referred to as JEPX) (not shown) which is a trading venue for power shortages or surplus power, an Organization for Cross-regional Coordination of Transmission Operators (hereinafter referred to as OCCTO) (not shown) which manages the power supply and demand status of each electric utility and instructs the interchange of power between electric utilities, a server (not shown) which provides an imbalance fee information publication website which publishes the imbalance fee unit price generated for the imbalance between the power supply and demand plan and the actual result (hereinafter referred to as the imbalance fee publication server), and a weather information server which provides weather forecast and actual information via the network 200. Here, the connection destinations are not limited to these, and the power supply and demand management agent 100 may be connected to a time information server via the network 200 to correct an internal clock (not shown) of the power supply and demand management agent 100.

[0012] Furthermore, a display device 201 and an input device 202 are connected to the power supply and demand management agent device 100. The display device 201 is, for example, an LCD (Liquid Crystal Display) and displays information related to the supply and demand management work. The input device 202 is, for example, a keyboard or a mouse and is used for an operator to enter instructions and input data. Here, the display device 201 and the input device 202 may be integrated and realized by a touch panel or the like.

[0013] Next, a description will be given of the internal configuration of the power supply and demand management agent device 100. The power supply and demand management agent device 100 includes a data acquisition unit 10 that acquires data from connected destinations via a network 200, a prediction calculation unit 11 that performs calculation processing related to a supply and demand management task using the data acquired by the data acquisition unit 10, an outsourcing contract information storage unit 12 that stores contract information for a service outsourcing contract 2, a priority evaluation unit 13 that determines the priority of supply and demand management tasks, a task list generation unit 14 that displays a plurality of supply and demand management tasks as a list screen 301 on a display device 201, and a task processing unit 15 that provides an operation screen 302 for each supply and demand management task.

[0014] The data acquisition unit 10 acquires, as operational data, from the terminal 1, for example, actual values ​​related to the amount of power generated by the power generation facility and the amount of demand by the consumer, and, for example, a weather forecast from a weather information server. Here, the data acquired from the terminal 1 is transmitted to the data acquisition unit 10 in association with the time when the terminal 1 acquired data from the power generation facility or the consumer, and a terminal ID (Identifier) ​​which is an identifier uniquely assigned to the terminal 1 to identify the power generation facility or the consumer. In addition, the actual values ​​related to the amount of power generated and the amount of demand acquired are not limited to being acquired directly from the terminal 1, but may be acquired via a general electricity transmission and distribution company. Furthermore, the data acquisition unit 10 acquires the imbalance charge unit price from the imbalance charge publication server as market data. The data acquisition unit 10 may further acquire the electricity trading price from JEPX as market data.

[0015] The prediction calculation unit 11 estimates predicted values ​​for the power generation amount and the demand amount from the actual values ​​for the power generation amount and the demand amount acquired by the data acquisition unit 10. In detail, for example, for each of the power generation amount and the demand amount, a prediction function with time as a parameter is set in advance for each day of the week, and a predicted value at the time of actual power supply and demand (hereinafter referred to as actual supply and demand) is calculated using this function and date and time information. Furthermore, the predicted value at the past time calculated from this function is compared with the actual measured value, and the difference is corrected to improve the prediction accuracy. However, the calculation method of the predicted value is not limited to this example, and it may be determined taking into account weather forecast information, such as using a function including temperature acquired from a weather information server as a parameter. Hereinafter, the predicted values ​​for the power generation amount and the demand amount are also included in the operation data.

[0016] Contract information related to the service contract 2 is input in advance and stored in the consignment contract information storage unit 12. In detail, as shown in an example in FIG. 2, the consignment contract information storage unit 12 stores a contract ID, which is an identifier for identifying the service contract 2, the contract amount of the service contract 2, the priority order of the service contract 2, and the terminal ID of the power generation facility or the consumer belonging to each service contract 2, in association with each other. Here, FIG. 2 shows an example in which the contract information is stored in one table, but this is not limited thereto, and the contract information may be stored in a plurality of tables to the extent that the contract ID and other items can be associated with each other. For example, the contract information may be stored in three tables, a table in which the contract ID and the contract amount are arranged, a table in which the contract ID and the priority order are arranged, and a table in which the contract ID and the terminal ID are arranged.

[0017] The priority evaluation unit 13 groups the supply and demand management operations into a business group 4 for each outsourcing contract 2. Furthermore, the priority evaluation unit 13 determines the priority of the multiple business groups 4, in which the supply and demand management operations are grouped for each outsourcing contract 2, using at least one of the operation data, the market data, and the contract information.

[0018] The task list generating unit 14 generates a list screen 301 in which multiple task groups 4 are arranged in descending order of priority, and displays it on the display device 201. When the operator selects a supply and demand management task to be performed using the input device 202, the task processing unit 15 displays an operation screen 302 for the selected supply and demand management task on the display device 201.

[0019] The power demand and supply management agent device 100 further includes a display controller 121 that controls the display screen of the display device 201, and a device controller 122 that accepts input from an operator. In detail, the display controller 121 displays a list screen 301 and an operation screen 302 generated by the business list generation unit 14 and the business processing unit 15, respectively, on the display device 201, such as an LCD. The device controller 122 accepts operations performed by the operator using an input device 202, such as a mouse or a keyboard, and outputs the contents of the operations to the business processing unit 15.

[0020] Next, a hardware configuration of the power supply and demand operation agent device 100 of this embodiment will be described with reference to FIG. 3. FIG. 3 is a block diagram showing a configuration example of a computer system that realizes the power supply and demand operation agent device 100. The power supply and demand operation agent device 100 is realized by executing a program (hereinafter referred to as a supply and demand operation agent program) in which the processing to be performed by the power supply and demand operation agent device 100 is described on the computer system. As shown in FIG. 3, this computer system includes a calculation device 101, a storage device 102, a communication device 103, a display controller 121, and a device controller 122, which are connected via a system bus 111. Here, an example in which the power supply and demand operation agent device 100 is realized by a single computer system is shown, but it may be realized by multiple computer systems or a cloud system.

[0021] The arithmetic device 101 is a processor such as a CPU (Central Processing Unit) and executes a supply and demand operation agency program. The storage device 102 includes various memories such as a RAM (Random Access Memory) and a storage device such as a hard disk, and stores the supply and demand operation agency program executed by the arithmetic device 101 and necessary data obtained in the process of processing, and is used as a temporary storage area for the program. The communication device 103 is a receiver and a transmitter that perform communication processing. Here, FIG. 3 is an example, and the configuration of the computer system is not limited to the example of FIG. 3.

[0022] The forecast calculation unit 11, the priority evaluation unit 13, the business list generation unit 14, and the business processing unit 15 shown in Fig. 1 are realized by executing a supply and demand operation agency program by a calculation device 101 shown in Fig. 3. The consignment contract information storage unit 12 shown in Fig. 1 is a part of the storage device 102 shown in Fig. 3. The data acquisition unit 10 shown in Fig. 1 is realized by a communication device 103 shown in Fig. 3.

[0023] Next, the supply and demand operation performed by the power supply and demand operation agent device 100 will be described. The supply and demand plan, which is one of the supply and demand operation operations performed by the electric utility, is divided into stages such as an annual plan, a monthly plan, a weekly plan, a day-ahead plan, and a current day plan. In the day-ahead plan, the electric utility checks the predicted values ​​of the power generation and demand for the power generation facilities, the consumers, or both, for example, every 30 minutes, trades the power shortage or surplus power in the JEPX one-day-ahead market, and then submits the power generation plan and the demand plan to OCCTO. Furthermore, in the current day plan, if there is a difference between the predicted values ​​of at least the power generation and the demand in the day-ahead plan, such as a decrease in the power generation amount of solar power generation due to rainfall, the electric utility further trades the power shortage or surplus power within a specified period in the JEPX intraday market, and submits the final power generation plan and the demand plan to OCCTO. Hereinafter, a time unit, for example 30 minutes, during which supply and demand operations are carried out will be referred to as a "frame," and the start date and time of a frame in which a supply and demand operation occurs, such as the occurrence of a power shortage or surplus, will be simply referred to as the occurrence date and time.

[0024] Here, due to unforeseen events such as power plant trouble, the actual values ​​may be insufficient or surplus compared to the planned values ​​of the power generation and demand submitted to OCCTO. This power shortage and surplus are called a power shortage imbalance and a power surplus imbalance, respectively (hereinafter, the power shortage imbalance and the power surplus imbalance are collectively referred to as imbalance), and are adjusted by the general power transmission and distribution company. The electric utility that caused the imbalance pays an imbalance fee to the general power transmission and distribution company as compensation for eliminating the imbalance. The imbalance fee is calculated by multiplying the amount of imbalance power (hereinafter, referred to as the imbalance amount) by the unit price of the imbalance fee, which changes from moment to moment. The data acquisition unit 10 acquires the unit price of the imbalance fee from the imbalance fee announcement server via the network 200. In this way, the results of the series of supply and demand operation operations, that is, the success or failure of the supply and demand balance adjustment, are finally settled by the imbalance fee.

[0025] Here, the imbalance amount, the imbalance charge unit price, and the imbalance charge are determined after the actual supply and demand are performed, so that these estimated values ​​are distinguished and defined as the estimated imbalance amount, the estimated imbalance charge unit price, and the estimated imbalance charge, respectively. The estimated imbalance amount is the difference between the planned value submitted to OCCTO and the predicted value for at least one of the power generation amount and the demand amount. The estimated imbalance charge unit price is an estimate of the imbalance charge unit price at the time of actual supply and demand, and is calculated, for example, using a function with a parameter of the time set in advance for each day of the week and information on the date and time of actual supply and demand. However, the calculation method of the estimated imbalance charge unit price is not limited to this example, and it may be determined taking into account weather forecast information, such as including the temperature obtained from a weather information server as a parameter. The estimated imbalance charge is calculated by the product of the estimated imbalance amount and the estimated imbalance charge unit price. The estimated imbalance amount, the estimated imbalance charge unit price, and the estimated imbalance charge are calculated by the forecast calculation unit 11.

[0026] Next, the display of the list screen 301 of supply and demand management operations and a method for determining the priority order of the operation groups 4 displayed on the list screen 301 will be described with reference to Fig. 4. Fig. 4 is a display example of the list screen 301 of supply and demand management operations displayed on the display device 201.

[0027] On the list screen 301, supply and demand management tasks are displayed together by outsourcing contract 2. This display grouping is referred to as a business group 4. In detail, on the list screen 301, an operation screen call button 3 that transitions to an operation screen 302 for the supply and demand management task is displayed. Furthermore, the operation screen call buttons 3 for the supply and demand management tasks that belong to the same business group 4 are displayed side by side in the horizontal direction. The name of the supply and demand management task is displayed on the operation screen call button 3, allowing the operator to visually confirm the content of the supply and demand management task to be performed. Furthermore, on the list screen 301, multiple business groups 4 are displayed in descending order of priority of the business group 4.

[0028] The priority of the business group 4 is determined by the priority evaluation unit 13. Specifically, the priority evaluation unit 13 refers to the priority of the business outsourcing contract 2 stored in the outsourcing contract information storage unit 12, and sets the priority of the business group 4 to the same priority as the priority of the business outsourcing contract 2 corresponding to that business group 4.

[0029] Next, the operation of this embodiment will be described with reference to Fig. 5. Fig. 5 is a flow chart showing the process up to displaying the operation screen 302 for supply and demand management work. The power supply and demand management agent device 100 performs an intraday planning work for creating, for example, a supply and demand plan for the current day for a plurality of service outsourcing contracts 2. Here, the intraday planning work is one of many supply and demand management works.

[0030] The data acquisition unit 10 acquires actual measured values ​​of the power generation amount of the power generation facility and the demand amount of the consumer from the terminal 1 (step S11). The data acquisition unit 10 may further acquire a weather forecast from a weather information server. In this case, the acquired weather forecast is, for example, the weather and temperature on the day. The data acquisition unit 10 further acquires market data (step S12). Specifically, the imbalance fee unit price is acquired from the imbalance fee disclosure server. Here, the data acquired by the data acquisition unit is transmitted together with time information that associates which frame the data corresponds to. The data acquisition unit 10 outputs the acquired data to the storage device 102, and stores the data in the storage device 102. Here, the order of steps S11 and S12 may be interchanged.

[0031] The prediction calculation unit 11 calculates prediction values ​​from the actual values ​​of the power generation amount and the demand amount acquired by the data acquisition unit 10 (step S13). The prediction calculation unit 11 outputs the calculated prediction values ​​for the power generation amount and the demand amount to the storage device 102, and stores these data together with the data acquired in step S11 in the storage device 102 as operation data. Here, the order of steps S12 and S13 may be interchanged.

[0032] The priority evaluation unit 13 classifies the supply and demand operation tasks by the outsourcing contract 2 and organizes them into a task group 4 (step S14). In detail, the service outsourcing contract 2 to which the supply and demand operation tasks belong is determined and classified so that the service outsourcing contract 2 to which the terminal 1 from which the operation data related to the supply and demand operation tasks is acquired belongs. Here, the relationship between the terminal 1 and the service outsourcing contract 2 can be specified by the information of the contract ID and the terminal ID stored in the outsourcing contract information storage unit 12. Furthermore, the priority evaluation unit 13 determines the priority of the task group 4 in which the supply and demand operation tasks are organized by the outsourcing contract 2 according to the information of the priority of the service outsourcing contract 2 stored in the outsourcing contract information storage unit 12 (step S15).

[0033] The business list generating unit 14 generates a list screen 301 in which the business groups 4 are arranged in descending order of priority, and displays it on the display device 201 via the display controller 121 (step S16). To generate this list screen 301, the business list generating unit 14 uses the contract information stored in the consignment contract information holding unit 12. The operator uses the input device 202, such as a mouse, to select the operation screen call button 3 for the supply and demand management business to be performed from the list screen 301 displayed on the display device 201. The device controller 122 acquires the operation input from the input device 202 and outputs it to the business processing unit 15 (step S17).

[0034] The business processing unit 15 generates an operation screen 302 for the supply and demand operation selected by the operator, and displays it on the display device 201 via the display controller 121 (step S18). This operation screen 302 is a screen on which the operator can input, for example, the amount of power to be bid on the JEPX one-day-ahead market for the selected supply and demand operation using the input device 202, and is not a monitoring screen that only displays, for example, the expected imbalance amount occurring as detailed information for each supply and demand operation and does not allow operation of the supply and demand operation (for example, input of the amount of power to be bid on the JEPX one-day-ahead market as described above), or a transition screen that only allows operation to proceed to the operation screen 302 or return to the list screen 301. The operation screen 302 is generated using data stored in the storage device 102, for example, operation data and market data.

[0035] Next, the operation screen 302 for the supply and demand management work will be described with reference to Fig. 6. Fig. 6 is a display example of the operation screen 302 for performing a process to eliminate the expected imbalance amount for the supply and demand management work selected on the list screen 301. The operation screen 302 displays a data display area 311 for displaying the trading unit price of electricity for each time period and the amount of electricity to be traded, a date display area 312 for displaying the target date of the supply and demand management work, a message display area 313 for displaying error messages in the processing of the supply and demand management work, and an execute button 314 for confirming the processing. For example, in a day-ahead planning work, an operator determines on the operation screen 302 the amount of electricity to be traded in the JEPX day-ahead market in order to eliminate the expected imbalance amount.

[0036] The data display area 311 displays in table form the electricity trading price for each time period and the amount of electricity to be traded for the supply and demand operation selected by the operator on the list screen 301. The data display area 311 displays the expected imbalance amount for that time period as the amount of electricity to be traded, and this value can be changed by the operator using the input device 202. In detail, the value to be changed is selected, for example, with a mouse, and the changed value is input, for example, with a keyboard. The displayed trading price is, for example, the trading price in the one-day-ahead market of JEPX, which is acquired by the data acquisition unit 10. Furthermore, the data display area 311 is provided with a scroll bar at the right end that allows the display in the data display area 311 to be freely scrolled up and down, but is not limited to this, and the scroll bar may be provided at the right end, or may be provided at the top or bottom end to allow free left and right scrolling.

[0037] The target date for the supply and demand management operation is displayed in the date display area 312. Date change buttons 312a, 312b for changing the target date for the supply and demand management operation are provided on the left and right ends of the date display area 312. By pressing the date change button 312a on the left end and the date change button 312b on the right end of the date display area 312 with the input device 202 such as a mouse, the target date for the supply and demand management operation can be changed to one day earlier or one day later, respectively.

[0038] Here, in the data display area 311, the trading price of electricity for each time period and the amount of electricity to be traded are displayed in a table format, but this is not limited to the example and may be displayed in a graph such as a line graph. Furthermore, the respective arrangements of the data display area 311, date display area 312, message display area 313, and execution button 314, that is, the screen layout, are not limited to the example in Fig. 6 and their positions may be changed by swapping them up, down, left, or right.

[0039] In this manner, the data acquisition unit 10 acquires actual values ​​and market data relating to the power generation amount of the power generation facility and the demand amount of the consumer, the forecast calculation unit 11 estimates forecast values ​​for each of the power generation amount and the demand amount, the priority evaluation unit 13 determines the priorities of multiple business groups 4 using at least one of the operational data including the actual values ​​and forecast values, the market data, and the contract information of the service outsourcing contract 2, and the business list generation unit 14 displays the business groups 4 in order of priority as a list screen.As a result, it is possible to provide an electric power supply and demand operation agency device 100 that displays the supply and demand operation operations of multiple outsourcing businesses all at once, clearly indicates the supply and demand operation operations with the highest priority, and further transitions directly to the operation screen 302 for the supply and demand operation, thereby enabling the supply and demand operation operations to be carried out efficiently.

[0040] Although an example has been given in which the priority of the business group 4 is determined based on the priority of the service outsourcing contract 2, the present invention is not limited to this, and the priority may be determined based on the contract amount of the service outsourcing contract 2. Specifically, the priority evaluation unit 13 refers to the contract amounts of the service outsourcing contracts 2 stored in the outsourcing contract information storage unit 12, and sets the priority of the business group 4 corresponding to the service outsourcing contract 2 in descending order of contract amount. This makes it possible to quickly process supply and demand operation tasks belonging to large-scale service outsourcing contracts 2, and efficiently improve the satisfaction of the service for electric power suppliers who have concluded large-scale service outsourcing contracts 2.

[0041] The priority of the business group 4 may be determined by the sum of the assumed imbalance charges of the supply and demand operation businesses belonging to the business group 4. A detailed operation for determining the priority will be described with reference to FIG. 7. FIG. 7 is a flowchart showing a process for determining the priority of the business group 4 by using the assumed imbalance charge. The forecast calculation unit 11 calculates the assumed imbalance amount from the difference between the planned value and the predicted value for at least one of the power generation amount and the demand amount stored in the storage device 102 (step S101). Furthermore, the forecast calculation unit 11 calculates the assumed imbalance charge unit price from the history related to the imbalance charge unit price stored in the storage device 102 (step S102). The order of steps S101 and S102 may be interchanged. Furthermore, the forecast calculation unit 11 calculates the assumed imbalance charge incurred in the supply and demand operation business by multiplying the assumed imbalance amount and the assumed imbalance charge unit price (step S103). The priority order evaluation unit 13 accumulates the estimated imbalance fee for each business group 4 (step S104), and sets a higher priority for the business group 4 with the larger total (step S105). This allows efficient processing of the supply and demand operation business belonging to the service outsourcing contract 2 that has a large impact on the costs of the power supply and demand operation agent. Here, the priority order of the business group 4 may be determined simply by the total sum of the estimated imbalance amount or the total sum of the estimated imbalance fee unit price, without calculating the product of the estimated imbalance amount and the estimated imbalance fee unit price for the supply and demand operation business belonging to the business group 4. In this case, the priority order evaluation unit 13 accumulates only the estimated imbalance amount or only the estimated imbalance fee unit price of the supply and demand operation business for each business group 4.

[0042] In addition, an example has been shown in which the priority order of the service group 4 is determined based on the priority order of the service contract 2, the contract amount of the service contract 2, or the sum of the expected imbalance charges of the supply and demand operation services belonging to the service group 4, but the present invention is not limited to these, and the priority order may be determined in a composite manner by combining these. For example, the priority order is determined based on the difference between the contract amount of the service contract 2 and the sum of the expected imbalance charges. In detail, the forecast calculation unit 11 calculates the expected imbalance charge for each supply and demand operation service by the same operation as in steps S101 to S103. The priority order evaluation unit 13 accumulates the expected imbalance charge for each service group 4 as in step S104. Furthermore, the priority order evaluation unit 13 refers to the contract amount of the service contract 2 stored in the contract information storage unit 12. Furthermore, the priority order evaluation unit 13 calculates the net consignment income related to the service contract 2 by subtracting the contract amount of the service contract 2 corresponding to the service group 4 from the accumulated expected imbalance charge for each service group 4, and determines the priority order of the service group 4 in descending order of the largest consignment income. This makes it possible to efficiently improve the profits of the power supply and demand operation agent.

[0043] Further, although an example of determining the priority order of the business group 4 has been shown so far, the present invention is not limited to this, and the priority order evaluation unit 13 may further determine the priority order of the supply and demand operation business within the business group 4. In this case, the business list generation unit 14 generates a list screen 301 in which the supply and demand operation businesses are arranged from left to right in order of priority order within the business group 4, according to the priority order of the supply and demand operation businesses determined by the priority order evaluation unit 13.

[0044] Here, the priority of the supply and demand operation tasks in each task group 4 is determined, for example, by the expected imbalance fee for the supply and demand operation task. In detail, the forecast calculation unit 11 calculates the expected imbalance fee for each supply and demand operation task by the same operation as steps S101 to S103. The priority evaluation unit 13 sets the priority of the supply and demand operation tasks in descending order of the expected imbalance fee for each supply and demand operation task. This makes it possible to efficiently process the supply and demand operation tasks with the greatest cost impact, even when a task group 4 with a particularly high priority has a large number of supply and demand operation tasks. The priority of the task group 4 is set high. This makes it possible to efficiently process the supply and demand operation tasks belonging to the service outsourcing contract 2 with the greatest cost impact on the power supply and demand operation agent.

[0045] Further, here, the priority of the supply and demand operation in each operation group 4 may be determined according to the proximity to the execution deadline of the supply and demand operation. For example, the priority evaluation unit 13 sets the priority of the supply and demand operation in the order of the time until the bidding deadline in the JEPX intraday market to be high. In detail, the bidding deadline in the JEPX intraday market is uniformly set, for example, one hour before the start date and time of the frame in which actual supply and demand are performed. Therefore, the priority evaluation unit 13 sets the priority of the supply and demand operation in the order of the time from the current time to be high, with the execution deadline of the supply and demand operation being one hour before the start date and time of the frame in which the supply and demand operation occurred. Here, the start time of the frame in which the supply and demand operation occurred can be specified from the time information included in the operation data. As a result, even if an operation group 4 with a particularly high priority has a large number of supply and demand operation operations, it is possible to efficiently process the supply and demand operation operations with the execution deadline approaching.

[0046] Also, in the example shown in the list screen 301, the business groups 4 with the highest priority are displayed from top to bottom, but the present invention is not limited to this example, and the supply and demand management businesses with the highest priority may be displayed from left to right. When the priority of the supply and demand management businesses is further determined within the business groups 4, it is preferable to display the supply and demand management businesses from top to bottom in order of priority. This allows the operator to select a display method that is easy to view depending on the size and aspect ratio of the display device 201.

[0047] Embodiment 2 The second embodiment will be described in detail with reference to Fig. 8. Fig. 8 is a block diagram showing the configuration of an electric power supply and demand management agent 100 according to the second embodiment. In the second embodiment, the electric power supply and demand management agent 100 calculates expenses (hereinafter referred to as business costs), such as labor costs, incurred in processing supply and demand management tasks for each service contract 2, and calculates revenues related to the service contract 2 by subtracting the expenses from the contract amount of the service contract 2. Furthermore, the electric power supply and demand management agent 100 creates a task occurrence prediction model for predicting the occurrence of supply and demand management tasks based on the acquired data and the track record of supply and demand management tasks performed in the past, and predicts and displays the occurrence of future supply and demand management tasks.

[0048] The power supply and demand operation agent device 100 includes a business performance memory unit 21 that stores information on the performance of the supply and demand operation, a business cost calculation unit 22 that calculates the work cost required for processing the supply and demand operation using the information stored in the business performance memory unit 21, and a revenue calculation unit 23 that calculates the revenue related to the service outsourcing contract 2 based on the work cost calculated by the business cost calculation unit 22 and the contract amount of the outsourcing contract stored in the outsourcing contract information storage unit 12. Furthermore, the power supply and demand operation agent device 100 includes a business occurrence learning unit 31 that creates an occurrence prediction model of the supply and demand operation based on the information stored in the business performance memory unit 21, and a business prediction output unit 32 that predicts the occurrence of the future supply and demand operation using the occurrence prediction model and displays the predicted supply and demand operation on the display device 201. The other configurations are the same as those of the first embodiment, and the description of the similar configurations will be omitted. The same reference numerals in FIG. 8 as those in FIG. 1 indicate the same or corresponding parts.

[0049] The business performance storage unit 21 stores data on the performance of the supply and demand operation business (hereinafter, referred to as business performance data) output by the business processing unit 15. The business performance data includes a business ID, an occurrence date and time, a contract ID, a required time, operation data, and market data, as shown in an example in FIG. 9. Here, the business ID is an identifier for identifying the business performance data, and is generated by the business processing unit 15 every time new business performance data is stored. The operation data is, for example, weather information consisting of weather and temperature. Here, FIG. 9 shows an example in which the business performance data is stored in one table, but this is not limited to this, and the data may be stored in multiple tables to the extent that the business ID and other items can be associated with each other. For example, the data may be stored in four tables: a table in which the business ID, the occurrence date and time, and the contract ID are arranged, a table in which the business ID and the required time are arranged, a table in which the business ID and the operation data are arranged, and a table in which the business ID and the market data are arranged.

[0050] The business processing unit 15 associates the occurrence date and time of the supply and demand operation business and the contract ID of the service outsourcing contract 2 to which the supply and demand operation business belongs with the business ID and stores them in the business record storage unit 21. Hereinafter, the business ID, occurrence date and time, and contract ID will be collectively referred to as business attributes. However, the business attributes stored in the business record storage unit 21 are not limited to these, and any information may be added, such as the supply area of ​​the general electricity transmission and distribution business operator where the supply and demand operation business occurred.

[0051] Furthermore, the business processing unit 15 stores the time required to process the supply and demand management business (hereinafter referred to as the required time) in the business performance storage unit 21 in association with the business ID. In detail, the required time is calculated from the difference between the time when the operator starts the operation to process the supply and demand management business and the time when the processing is completed. If the processing operation is interrupted midway, the difference between the time of interruption and the time of restart is further subtracted to determine the required time. Furthermore, the business processing unit 15 stores the operation data and market data for each supply and demand management business in association with the business ID in the business performance storage unit 21.

[0052] The operation cost calculation unit 22 calculates the operation cost required for processing the supply and demand operation by multiplying the required time stored in the operation performance storage unit 21 by a preset work cost per hour, such as labor cost, for each supply and demand operation, and stores the calculated cost in the storage unit 102 in association with the operation ID. Furthermore, the operation cost calculation unit 22 adds up the operation cost for each supply and demand operation stored in the storage unit 102 for each outsourcing contract 2. Here, whether the operation cost for each supply and demand operation required for the addition belongs to each outsourcing contract 2 can be confirmed from the operation performance data stored in the operation performance storage unit 21 in association with the operation ID and the contract ID.

[0053] The revenue calculation unit 23 calculates the revenue related to the service contract 2 from the difference between the contract amount for each service contract 2 stored by the service contract information storage unit 12 and the business cost for each service contract 2 calculated by the business cost calculation unit 22. Here, the cost related to the calculation of the revenue is not limited to the business cost only, and may include, for example, the imbalance fee paid by the power supply and demand operation agent to the general power transmission and distribution company as a result of the execution of the supply and demand operation work. In this case, the business performance storage unit 21 further stores the imbalance fee paid to the general power transmission and distribution company. However, if the imbalance fee paid to the general power transmission and distribution company is compensated by the entrusting company of the service contract 2, it is preferable not to include the imbalance fee in the business cost related to the calculation of the revenue.

[0054] Furthermore, the profit calculation unit 23 causes the calculated profit related to the service outsourcing contract 2 to be displayed on the display device 201 via the display controller 121. Here, there is no limitation on the display method on the display device 201, and for example, a dedicated display screen may be provided, or the profit may be displayed as a pop-up display on the list screen 301 of the supply and demand management work or the operation screen 302. This allows the operator to look back on the profitability of supply and demand management work carried out in the past, and can use this to improve the profitability of supply and demand management work to be carried out in the future.

[0055] The task occurrence learning unit 31 learns the conditions for the occurrence of a supply and demand operation task by supervised learning in machine learning using a neural network model, for example, and creates a task occurrence prediction model, which is a learned model. Here, supervised learning refers to a model in which a large amount of pairs of input data and supervised data are given, and the features of the pairs of the data are learned and a result is estimated from the input data. In detail, as input data when a supply and demand operation task occurs, the task occurrence learning unit 31 is given the date and time of occurrence of the supply and demand operation task, the operation data, and the market data stored in the task record storage unit 21. In this case, 1 is further given to the task occurrence learning unit 31 as supervised data. On the other hand, as input data when a supply and demand operation task does not occur, the task occurrence learning unit 31 is given the operation data and the market data stored in the storage device 102, and their time information. In this case, 0 is further given to the task occurrence learning unit 31 as supervised data. In this way, the supervised data given to the task occurrence learning unit 31 is a discrete value of 1 or 0 indicating the presence or absence of the supply and demand operation task.

[0056] Regarding the machine learning in the work occurrence learning unit 31, the operation data and the market data are given as input data because the occurrence of the supply and demand operation work and these data are strongly related to each other. The weather information included in the operation data is information that greatly affects the supply and demand of electricity. For example, a rise in temperature in summer and snowfall in winter especially increase the demand amount, so that supply and demand operation work such as procurement of insufficient electricity occurs. Similarly, for the market data, for example, the imbalance charge and the trading price of electricity in JEPX rise when the demand amount is excessive with respect to the total power generation amount, so that when the market data rises, supply and demand operation work such as adjustment of the demand amount occurs. In this way, the operation data and the market data are closely related to the occurrence of the supply and demand operation work, so they are used as input data for the work occurrence learning unit 31. As a result, the work occurrence learning unit 31 learns the occurrence conditions of the supply and demand operation work by machine learning and creates a work occurrence prediction model. The work prediction output unit 32 predicts the occurrence of the supply and demand operation work using the work occurrence prediction model generated by the work occurrence learning unit 31 and the data acquired by the data acquisition unit 10.

[0057] Here, the business cost calculation unit 22, the profit calculation unit 23, the business occurrence learning unit 31, and the business forecast output unit 32 shown in Fig. 8 are realized by executing a supply and demand operation agent program having these functions by the calculation device 101 shown in Fig. 3. The business performance storage unit 21 shown in Fig. 8 is a part of the storage device 102 shown in Fig. 3. The correspondence between the other configurations in Fig. 8 and the hardware configuration in Fig. 3 is the same as in the first embodiment, and therefore a description thereof will be omitted.

[0058] Next, the operation of predicting the occurrence of a supply and demand operation task in the task forecast output unit 32 will be described with reference to Fig. 10. Fig. 10 is a flowchart showing the process in which the task forecast output unit 32 predicts the occurrence of a supply and demand operation task using a task occurrence prediction model.

[0059] The business forecast output unit 32 inputs the operation data and market data acquired by the data acquisition unit 10 and an arbitrary date and time for predicting the occurrence of a supply and demand operation into the business occurrence prediction model created by the business occurrence learning unit 31 (step S21). The business forecast output unit 32 determines that there is a possibility of a supply and demand operation occurring when the occurrence probability of a supply and demand operation outputted from the business occurrence prediction model, expressed as a numerical value between 0 and 1, exceeds a predetermined threshold (step S22). For example, if the threshold is 0.8, it determines that a supply and demand operation will occur when the occurrence probability of a supply and demand operation outputted from the business occurrence prediction model exceeds 0.8, and causes the display device 201 to display this via the display controller 121 (step S23).

[0060] The power supply and demand management agent device 100 configured in this manner can also collectively display the supply and demand management operations of multiple outsourcing businesses, clearly indicate high-priority supply and demand management operations, and directly transition to the operation screen 302 for the supply and demand management operations, thereby enabling efficient supply and demand management operations. Furthermore, since the device is configured to accumulate data on past operations and create a management operation occurrence prediction model from the data on past operations, it can display supply and demand management operations that are predicted to occur in addition to those that have already occurred. Therefore, the operator can make arrangements for management operations in advance, and can efficiently perform future supply and demand management operations in addition to the current supply and demand management operations.

[0061] Embodiment 3 The third embodiment will be described in detail with reference to Fig. 11. Fig. 11 is a block diagram showing a configuration of an electric power supply and demand operation agent device 100 according to the third embodiment. In the first and second embodiments, an example was shown in which a terminal 1 belonging to a service outsourcing contract 2 was connected to the electric power supply and demand operation agent device 100 via a network 200, but in the third embodiment, an example is shown in which a terminal 1a belonging to a part of service outsourcing contracts 2a is connected to an electric power supply and demand operation device 41 via the network 200, and data of the terminal 1a is aggregated in the electric power supply and demand operation device 41.

[0062] In Fig. 11, the power supply and demand operation agent device 100 is connected to a power supply and demand operation device 41 via a network 200. The power supply and demand operation device 41 is further connected via the network 200 to a terminal 1a installed in a power generation facility or consumer belonging to a service outsourcing contract 2a. The other configurations are the same as those in the first embodiment, and a description of the similar configurations will be omitted. In Fig. 11, the same reference numerals as those in Fig. 1 indicate the same or corresponding parts. Here, an example in which there is one power supply and demand operation device 41 is shown in Fig. 11, but this is not limiting, and there may be multiple power supply and demand operation devices 41.

[0063] Here, the third embodiment is an example assuming that an electric utility that has been performing supply and demand management operations using the electric power supply and demand management device 41 will outsource the supply and demand management operations to an electric power supply and demand management agent under a service outsourcing contract 2a without updating the equipment. For this reason, the electric power supply and demand management device 41, like the electric power supply and demand management agent device 100, has a function of performing supply and demand management operations only for power generation facilities and consumers belonging to one electric utility.

[0064] The data acquiring unit 10 acquires operation data acquired from the terminal 1 and also from the terminal 1a from the power supply and demand operation device 41. Here, the operation data acquired from the power supply and demand operation device 41 is associated with the time when the terminal 1a acquired the data from the power generation facility or the consumer, and is also associated with a terminal ID uniquely assigned to the terminal 1a in order to identify the power generation facility or the consumer, and is transmitted to the data acquiring unit 10.

[0065] The contract information of the service outsourcing contract 2 and the service outsourcing contract 2a is input in advance and stored in the outsourcing contract information storage unit 12. The priority evaluation unit 13 determines the priority without distinguishing between the service outsourcing contract 2 and the service outsourcing contract 2a. Here, the method of determining the priority is the same as in embodiment 1. The business list generation unit 14 causes the display device 201 to display a list screen 301 in which the service outsourcing contract 2 and the service outsourcing contract 2a are arranged in order of priority.

[0066] The power supply and demand management agent device 100 configured in this manner can also collectively display the supply and demand management operations of multiple electric power suppliers, clearly indicate the supply and demand management operations with a high priority, and directly transition to the operation screen 302 for the supply and demand management operations, thereby efficiently carrying out the supply and demand management operations. Furthermore, even when terminals 1a belonging to service contract 2a are aggregated in the power supply and demand management device 41, the supply and demand management operations can be displayed without distinguishing between service contract 2 and service contract 2a. Therefore, the supply and demand management operations for service contract 2 and service contract 2a can be efficiently carried out collectively.

[0067] It is also possible to combine the business performance storage unit 21, business cost calculation unit 22, profit calculation unit 23, business occurrence learning unit 31, and business forecast output unit 32 shown in embodiment 2 with embodiment 3. In addition to these combinations, any of the components of each embodiment can be freely combined, modified, or omitted as long as the features described in each embodiment are not contradictory. [Explanation of symbols]

[0068] 10 data acquisition unit, 11 forecast calculation unit, 12 consignment contract information storage unit, 13 priority evaluation unit, 14 business list generation unit, 15 business processing unit, 21 business performance storage unit, 22 business cost calculation unit, 23 profit calculation unit, 31 business occurrence learning unit, 32 business forecast output unit, 41 power supply and demand operation device, 100 power supply and demand operation agent device, 201 display device, 202 input device

Claims

1. A data acquisition unit that acquires, by a business operator acting on behalf of an electric power supply and demand operation, actual values ​​of the amount of power generated by a power generation facility belonging to the electric power utility acting on behalf of the business operator and the amount of power demand by a consumer, and market data including an imbalance charge unit price; a prediction calculation unit that calculates a prediction value at a time when actual power supply and demand is performed for each of the power generation amount and the demand amount from the actual values; a priority evaluation unit that uses at least one of the operation data including the actual value and the forecast value, the market data, and contract information of the outsourcing contract related to the agency of the business to determine the priority of the business group obtained by grouping the business for each of the outsourcing contracts; a task list generating unit that generates a list screen in which the task groups are arranged in descending order of priority and displays the list screen on a display device; a task processing unit that directly transitions from the list screen to an operation screen for inputting instructions regarding the task without transitioning to a monitoring screen that displays detailed information for each task; An electric power supply and demand operation agent device equipped with the device.

2. The contract information includes information on the priority order of the service contract, The power demand and supply management agent device according to claim 1 , wherein the priority evaluation unit determines the priority of the business group in accordance with information on priority of the service outsourcing contract.

3. The contract information includes information on a contract amount for each of the business outsourcing contracts, the prediction calculation unit calculates an assumed imbalance amount based on a difference between a planned value and the predicted value for at least one of the power generation amount and the demand amount, calculates an assumed imbalance fee unit price that is an estimate of the imbalance fee unit price at the time when actual power supply and demand is performed, and calculates an assumed imbalance fee by multiplying the assumed imbalance amount and the assumed imbalance fee unit price; The power supply and demand operation agent device of claim 1, characterized in that the priority evaluation unit sets the priority of the business group having a large contract amount high, sets the priority of the business group having a large expected imbalance fee high, or sets the priority of the business group having a large net consignment income calculated by the difference between the contract amount and the expected imbalance fee high.

4. the prediction calculation unit calculates an assumed imbalance amount based on a difference between a planned value and the predicted value for at least one of the power generation amount and the demand amount, calculates an assumed imbalance fee unit price that is an estimate of the imbalance fee unit price at the time when actual power supply and demand is performed, and calculates an assumed imbalance fee by multiplying the assumed imbalance amount and the assumed imbalance fee unit price; the priority order evaluation unit further determines the priority order of the operations for each of the operation groups such that the operation with a larger expected imbalance fee has a higher priority order; The power demand and supply management agent device according to claim 1 , wherein the task list generating unit further arranges the tasks on the list screen in the order of priority for each task group.

5. the priority level evaluation unit further determines the priority levels of the tasks for each of the task groups such that the tasks that are closer to a preset implementation deadline have a higher priority level; The power demand and supply management agent device according to claim 1 , wherein the task list generating unit further arranges the tasks on the list screen in the order of priority for each task group.

6. a task performance storage unit that stores the required time for each task; a task cost calculation unit that calculates task costs from the required time and a preset hourly work cost for the task, and accumulates the cost for each task contract; a revenue calculation unit that calculates a revenue related to the business outsourcing contract from the business cost for each business outsourcing contract and a contract amount for each business outsourcing contract; The power demand and supply management agent device according to claim 1 .

7. The business performance storage unit further stores the date and time of occurrence of the business, and the operation data and the market data corresponding to the business; a task occurrence learning unit that learns the task occurrence conditions by machine learning using the occurrence date and time, the operation data, and the market data acquired from the task performance storage unit, and creates an occurrence prediction model for the task; a task prediction output unit that predicts a future occurrence of the task using the occurrence probability of the task output from the occurrence prediction model, and displays the predicted task on the display device; The power demand and supply management agent device according to claim 6 .

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