Power environmental value integrated management device, power environmental value integrated management system, power environmental value integrated management method, and program

Abstract

To provide a power environmental value integrated management device capable of determining a procurement amount of an environmental value according to electricity demand and a necessary amount of the environmental value, which vary depending on the time of day.SOLUTION: There is provided a power environmental value integrated management system in which a power environmental value integrated management device 10 is communicably connected via a network, etc., to a database system 20, a power transaction market system, an environmental value certificate transaction market system, a weather forecasting system, and loads and distributed power supplies included in consumer facilities, where the power environmental value integrated management device 10 includes an environmental value requirement amount calculation unit 120 that calculates an hourly environmental value requirement amount for consumers using environmental value requirement information representing consumers' requirements regarding the environmental value of supplied electricity and the prediction value of hourly electricity demand for consumers, and an energy / environmental assessment adjustment and procurement planning unit 130 that determines an adjustment amount for the prediction value of hourly electricity demand for the consumers and the procurement amount of hourly environmental value for consumers so as to satisfy the environmental value requirement amount.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present disclosure relates to an electric power environmental value integrated management device, an electric power environmental value integrated management system, an electric power environmental value integrated management method, and a program. [Background technology]

[0002] As decarbonization progresses worldwide, there is a growing need among consumers to procure environmentally valued electricity. If a consumer owns its own power generation facilities that generate renewable energy, it can procure environmentally valued electricity using the power generation facilities it owns, but this does not necessarily mean that the desired amount of environmentally valued electricity can be obtained from the electricity generated by the power generation facilities it owns, and there may also be a surplus of renewable energy generated by the power generation facilities it owns.

[0003] On the other hand, it is now possible to separate the value of renewable energy generated by solar power generation facilities and other sources into electricity value, which is the value of the electricity itself, and environmental value, and to buy and sell these separately. In this way, by separating electricity value from environmental value, a wide range of players can procure environmental value.

[0004] Patent document 1 discloses an environmental value management device that uses a consumer's request regarding the environmental value of electricity and the consumer's predicted electricity demand to predict the required amount of environmental value to make it easier to realize the consumer's requests regarding environmental value, and creates a procurement plan for environmental value certificates. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Publication No. 2023-098446 Summary of the Invention [Problem to be solved by the invention]

[0006] However, Patent Document 1 has a problem in that it does not mention that the demand for electricity and the required amount of environmental value change depending on the time of day.

[0007] The present disclosure has been made in consideration of the above circumstances, and provides an integrated electricity environmental value management device, an integrated electricity environmental value management system, an integrated electricity environmental value management method, and a program that can determine the amount of environmental value to be procured according to the electricity demand and required amount of environmental value that change with the time of day. [Means for solving the problem]

[0008] This disclosure has been made to solve the above-mentioned problems, and one aspect of the present disclosure is an integrated electricity environmental value management device that includes an environmental value requirement calculation unit that calculates the hourly environmental value requirement of the consumer using environmental value requirement information that indicates the consumer's requirements regarding the environmental value of the electricity to be supplied and a predicted value of the consumer's electricity demand by time of day, and an adjustment procurement planning unit that determines an adjustment amount for the predicted value of the consumer's electricity demand by time of day and an hourly environmental value procurement amount for the consumer so as to satisfy the hourly environmental value requirement.

[0009] Another aspect of the present disclosure is the above-mentioned electricity environmental value integrated management device, wherein the adjustment procurement planning unit determines the adjustment amount and the procurement amount by solving an optimization problem using mathematical programming, in which the objective function is the sum of the purchase price of electricity, the purchase price of environmental value, and the price of the adjustment amount.

[0010] Another aspect of the present disclosure is the above-mentioned electricity environmental value integrated management device, wherein the adjustment procurement planning unit further uses a predicted value of the power generation by the consumer's equipment by time of day to calculate the environmental value requirement by time of day.

[0011] Another aspect of the present disclosure is the above-mentioned electricity environmental value integrated management device, which is equipped with a display unit that displays at least one of a graph showing the increase or decrease due to the adjustment amount relative to the predicted value of the consumer's electricity demand by time of day, a graph showing the increase or decrease due to the adjustment amount relative to the predicted value of the consumer's environmental value by time of day, and a graph showing the increase or decrease due to the adjustment amount relative to the procurement plan value of the consumer's environmental value by time of day.

[0012] Another aspect of the present disclosure is the above-mentioned electricity environmental value integrated management device, wherein the adjustment procurement planning unit determines the adjustment amount from among a plurality of predetermined adjustment amount patterns.

[0013] Another aspect of the present disclosure is the above-mentioned electricity environmental value integrated management device, wherein the environmental value required amount calculation unit calculates the environmental value required amount by time for each of a plurality of consumers, and the adjustment amount includes the amount of electricity exchanged between the plurality of consumers.

[0014] Another aspect of the present disclosure is the above-mentioned electricity environmental value integrated management device, wherein the procurement amount is configured by one or more certificates of environmental value.

[0015] Another aspect of the present disclosure is an integrated electricity environmental value management system comprising an environmental value requirement calculation unit that calculates an hourly environmental value requirement using environmental value requirement information indicating a consumer's requirements regarding the environmental value of the electricity to be supplied and a predicted hourly electricity demand of the consumer; an adjustment procurement planning unit that determines an adjustment amount for the predicted hourly electricity demand of the consumer and an hourly environmental value procurement amount for the consumer so as to satisfy the hourly environmental value requirement; and a demand control unit that controls the consumer's electricity demand in accordance with the electricity demand value reflecting the adjustment amount.

[0016] Another aspect of the present disclosure is a method for integrated management of electricity environmental value, comprising the steps of: calculating an hourly environmental value requirement using environmental value requirement information indicating a consumer's requirements regarding the environmental value of the electricity to be supplied and a predicted hourly electricity demand of the consumer; and determining an adjustment amount for the predicted hourly electricity demand of the consumer and an hourly environmental value procurement amount for the consumer so as to satisfy the hourly environmental value requirement.

[0017] Another aspect of the present disclosure is a program for causing a computer to function as an environmental value requirement calculation unit that calculates the environmental value requirement for each hour of the day using environmental value requirement information indicating a consumer's requirements regarding the environmental value of the electricity to be supplied and the consumer's predicted hourly electricity demand, and an adjustment procurement planning unit that determines the amount of adjustment to the consumer's predicted hourly electricity demand and the consumer's hourly environmental value procurement amount so as to satisfy the hourly environmental value requirement. [Effects of the Invention]

[0018] According to this disclosure, the electricity environmental value integrated management device, electricity environmental value integrated management system, electricity environmental value integrated management method, and program are capable of determining the amount of environmental value to be procured according to the electricity demand and required amount of environmental value that change with time. [Brief explanation of the drawings]

[0019] [Figure 1] 1 is a schematic block diagram illustrating a configuration of an integrated management system for electricity environmental value according to an embodiment of the present disclosure. [Figure 2] 2 is a schematic block diagram showing the configuration of an electric power environmental value integrated management device 10 and a database system 20 in the embodiment. FIG. [Figure 3] 10 is a schematic diagram illustrating an example of the operation of the electricity market price prediction unit 111 in the embodiment. FIG. [Figure 4] 10 is a schematic diagram illustrating an operation example (part 1) of the certificate prediction unit 112 in the embodiment. FIG. [Figure 5]FIG. 10 is a schematic diagram illustrating a second example of the operation of the certificate prediction unit 112 in the embodiment. [Figure 6] 10 is a schematic diagram illustrating an example of the operation of the power demand prediction unit 113 and the renewable energy power generation amount prediction unit 114 in the embodiment. FIG. [Figure 7] 10 is a schematic diagram illustrating an example of the operation of the required amount of environmental value calculation unit 120 in the embodiment. FIG. [Figure 8] 10 is an example of a graph notifying an adjustment amount (increase) by the display unit 140 in the embodiment. [Figure 9] 10 is an example of a graph notifying the amount of adjustment (reduction) by the display unit 140 in the embodiment. [Figure 10] 10 is an example of a graph notifying the procurement amount (increase) by the display unit 140 in the embodiment. [Figure 11] 10 is an example of a graph notifying the procurement amount (reduction amount) by the display unit 140 in the embodiment. [Figure 12] FIG. 2 is an explanatory diagram illustrating the hardware configuration of each device according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0020] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. Fig. 1 is a schematic block diagram showing the configuration of an integrated management system for electricity environmental value according to one embodiment of the present disclosure. The integrated management system for electricity environmental value includes an integrated management device 10 for electricity environmental value, a database system 20, and a monitoring control terminal 61 (demand control unit) included in one or more consumer facilities 60. The integrated management system for electricity environmental value is also communicatively connected to an electricity trading market system 30, an environmental value certificate trading market system 40, a weather forecasting system 50, and loads 62 and distributed power sources 63 included in the consumer facilities 60 via a network or the like.

[0021] The electricity environmental value integrated management device 10 predicts the electricity demand of one or more consumers based on weather data obtained from a weather forecasting system 50, and determines the amount of environmental value to be procured for each time period, such as every 30 minutes or every hour, during the planning period, so as to satisfy the consumers' requirements regarding the environmental value of the electricity to be supplied. For example, if the time period is 30 minutes, the amount of environmental value to be procured at a certain time is the amount of environmental value to be procured from that time until 30 minutes later, or for a 30-minute period centered around that time. When determining the amount of environmental value to be procured, the electricity environmental value integrated management device 10 also determines the amount of adjustment of electricity demand using electricity market price data obtained from the electricity trading market system 30 and certificate data obtained from the environmental value certificate trading market system 40. The electricity environmental value integrated management device 10 instructs the monitoring and control terminal 61 to control the amount of electricity usage based on the amount of adjustment. The electricity environmental value integrated management device 10 may be realized by one or more computers reading and executing a program.

[0022] The database system 20 stores weather data, electricity market price data, certificate data, electricity demand data, renewable energy power generation data, environmental value target data, retail contract data, consumer device data, etc. The database system 20 may be realized by one or more computers reading and executing a program.

[0023] The electricity trading market system 30 operates a market where electricity is traded and provides electricity market price data that indicates the market price of electricity. The environmental value certificate trading market system 40 operates a market where environmental value certificates are traded and provides certificate data that indicates the market price of the certificates. The weather forecasting system 50 provides hourly weather data. This weather data includes actual values ​​and predicted values.

[0024] The consumer facility 60 is a facility used by a consumer, and includes a monitoring and control terminal 61, a load 62, and a distributed power source 63. The monitoring and control terminal 61 receives the power demand value reflecting the adjustment amount as an instruction from the power environmental value integrated management device 10, and controls the consumer's power demand (power usage by the load 62, power supply by the distributed power source 63, etc.) in accordance with the power demand value.

[0025] 2 is a schematic block diagram showing the configuration of the electricity environmental value integrated management device 10 and the database system 20 in this embodiment. The electricity environmental value integrated management device 10 includes a prediction unit 110, an environmental value requirement calculation unit 120, an energy / environmental value adjusted procurement plan unit 130, and a display unit 140. The prediction unit 110 includes an electricity market price prediction unit 111, a certificate prediction unit 112, an electricity demand prediction unit 113, and a renewable energy power generation amount prediction unit 114.

[0026] The database system 20 includes a forecast input data storage unit 210, a retail contract data storage unit 220, a consumer device data storage unit 230, a planned input data storage unit 240, and a planned output data storage unit 250. The forecast input data storage unit 210 includes a weather data storage unit 211, an electricity market price data storage unit 212, a certificate data storage unit 213, an electricity demand data storage unit 214, and a renewable energy power generation amount data storage unit 215. The planned input data storage unit 240 includes a forecast output data storage unit 241 and a time-of-day environmental value required amount data storage unit 246. The forecast output data storage unit 241 includes an electricity market price forecast data storage unit 242, a certificate forecast data storage unit 243, an electricity demand forecast data storage unit 244, and a renewable energy power generation amount forecast data storage unit 245.

[0027] The weather data storage unit 211 stores weather data acquired from the weather forecasting system 50. The weather data includes, for example, the weather, temperature, and amount of solar radiation for each time period. The weather data includes actual values ​​and predicted values. The electricity market price data storage unit 212 stores electricity market price data acquired from the electricity trading market system 30. The electricity market price data is the market price of a unit amount of electricity for each time period.

[0028] The certificate data storage unit 213 stores certificate data acquired from the environmental value certificate trading market system 40. The certificate data indicates the price of a certificate of environmental value. The price of a certificate of environmental value may be the price of a unit amount of electricity for each time period, or may be the price for a set of amounts of electricity set for each time period within a certain period, such as 9.9 kWh for 30 minutes from midnight on April 1st, 9.8 kWh for 30 minutes from midnight on the same day, and 10 kWh for 30 minutes from 11:30 p.m. on June 30th.

[0029] The power demand data storage unit 214 stores the power demand data of each consumer acquired from the monitoring control terminal 61. The power demand data is the power demand of each consumer by time of day. For example, if the time is every 30 minutes, the power demand at a certain time is the power demand (amount of power) from that time up to 30 minutes later. If a consumer has multiple loads, the power demand may be for each of the loads.

[0030] The environmental value procurement target data storage unit 260 stores environmental value procurement target data set for each consumer. The environmental value procurement target data is the ratio of the environmental value that the consumer aims to procure to the electricity demand, and may be received by the electricity environmental value integrated management device 10 from another device, or may be input by an operator of the electricity environmental value integrated management device 10. Note that if a consumer has multiple loads, the ratio may be for each of the loads.

[0031] The retail contract data storage unit 220 stores retail contract data set for each consumer. The retail contract data is the content of the retail electricity contract with which the consumer has a contract, and includes the ratio of environmental value included in the unit amount of electricity. The retail contract data may also include the electricity rate unit price by time of day for each consumer. The retail contract data may be received by the electricity environmental value integrated management device 10 from another device, or may be input by an operator of the electricity environmental value integrated management device 10.

[0032] The consumer device data storage unit 230 stores consumer device data for each consumer device (load 62, distributed power source 63). The consumer device data includes a feasible range for adjusting the power demand of each device. The feasible range for adjusting the power demand may be a range in which the power demand can be increased or decreased by time, such as reducing the power demand by Z1 [kWh] from X1 to Y1, or may be a range in which the power supply can be increased or decreased by time. The feasible range for adjusting the power demand may also be a pattern for adjusting the power demand, such as shifting the power demand Z2 [kWh] from X2 to Y2 to X3 to Y3. The power demand adjustment may be adjustment of the power demand by the load 62 or adjustment of the power demand by the distributed power source 63.

[0033] The electricity market price prediction data storage unit 242 stores the electricity market price prediction data predicted by the electricity market price prediction unit 111. The electricity market price prediction data includes the electricity market price by time of day for the planning period (future).

[0034] The certificate prediction data storage unit 243 stores the certificate prediction data predicted by the certificate prediction unit 112. The certificate prediction data includes the price of the certificate for the planned period (future). As with the certificate data, the price of the certificate for the planned period may be the price of a unit amount of power for each hour, or may be the price for a set of amounts of power set for each hour within the planned period.

[0035] The power demand forecast data storage unit 244 stores the power demand forecast data forecasted by the power demand forecasting unit 113. The power demand forecast data includes the power demand of each consumer by time of day for the planned period (future). The renewable energy power generation amount prediction data storage unit 245 stores the renewable energy power generation amount prediction data predicted by the renewable energy power generation amount prediction unit 114. The renewable energy power generation amount prediction data includes the renewable energy power generation amount by time of day for the planning target period (future) of each consumer.

[0036] The time-specific environmental value required amount data storage unit 246 stores the time-specific environmental value required amount data calculated by the environmental value required amount calculation unit 120. The time-specific environmental value required amount data includes the environmental value required amount for each consumer by time during the planning period (future).

[0037] The power demand adjustment plan storage unit 251 stores the power demand adjustment plan determined by the energy / environmental value adjustment procurement plan unit 130. The power demand adjustment plan includes the amount of adjustment to the predicted value of power demand by time of day for each consumer during the planned period (future). The environmental value procurement plan storage unit 252 stores the environmental value procurement plan determined by the energy / environmental value adjustment procurement plan unit 130. The environmental value procurement plan includes the procurement amount of the environmental value for each consumer by time period during the planned period (future).

[0038] The electricity market price prediction unit 111 predicts the electricity market price by time in the future. The electricity market price prediction unit 111 may predict the electricity market price by time in the planning period from the weather data (weather forecast) for the predicted planning period (future) using a trained model that has learned the relationship between past weather data and past electricity market price data through machine learning.

[0039] Fig. 3 is a schematic diagram illustrating an example of the operation of the electricity market price prediction unit 111 in this embodiment. In the example of Fig. 3, the electricity market price prediction unit 111 generates electricity market price prediction data using past weather data stored in the weather data storage unit 211, past electricity market price data stored in the electricity market price data storage unit 212, and weather data (weather forecast) for the predicted planning period stored in the weather data storage unit 211.

[0040] In FIG. 3, the past weather data used by the electricity market price prediction unit 111 is the weather "clear," the temperature "18.6°C," and the amount of solar radiation "0.00 MJ / m" at 0:00 on April 1, 2023. 2 ", April 1, 2023, 1:00: Weather "Cloudy", Temperature "18.9℃", Solar radiation "0.00MJ / m 2 "..."

[0041] In addition, the past electricity market price data used by the electricity market price prediction unit 111 is "5.5 yen / kWh" at 0:00 on April 1, 2023, "5.3 yen / kWh" at 0:30 on April 1, 2023, "5.2 yen / kWh" at 1:00 on April 1, 2023, "5.4 yen / kWh" at 1:30 on April 1, 2023, etc.

[0042] The electricity market price prediction unit 111 performs machine learning on the relationship between these weather data and electricity market price data to generate a trained model, and uses this trained model to predict electricity market price forecast data from weather data (weather forecast). In FIG. 3, the electricity market price forecast data predicted by the electricity market price prediction unit 111 is "6.5 yen / kWh" at 0:00 on July 1, 2023, "6.4 yen / kWh" at 0:30 on July 1, 2023, "6.1 yen / kWh" at 1:00 on July 1, 2023, and "6.2 yen / kWh" at 1:30 on July 1, 2023. The weather data (weather forecast) used here are forecasts (predicted values) of weather, temperature, and solar radiation at 0:00 on July 1, 2023, and 1:00 on July 1, 2023.

[0043] 2, the certificate prediction unit 112 predicts the price of a certificate of environmental value for the planned period (future). The certificate prediction unit 112 may predict the price of a certificate for the planned period from the predicted weather data for the planned period using a trained model that has been trained by machine learning on the relationship between past weather data and certificate data indicating past certificate prices.

[0044] 4 is a schematic diagram illustrating an operation example (part 1) of the certificate prediction unit 112 in this embodiment. In the example of Fig. 4, the certificate prediction unit 112 generates certificate prediction data for the planning period using past weather data stored in the weather data storage unit 211, past certificate data stored in the certificate data storage unit 213, and weather data (weather forecast) for the predicted planning period stored in the weather data storage unit 211.

[0045] In Fig. 4, the past weather data used by the certificate prediction unit 112 is the same as in Fig. 3. Furthermore, the past certificate data used by the certificate prediction unit 112 is "0.40 yen / kWh" at 0:00 on April 1, 2023, "0.41 yen / kWh" at 0:30 on April 1, 2023, "0.39 yen / kWh" at 1:00 on April 1, 2023, "0.38 yen / kWh" at 1:30 on April 1, 2023, etc.

[0046] The certificate prediction unit 112 performs machine learning on the relationship between the weather data and the certificate data to generate a trained model, and uses this trained model to predict certificate prediction data for the planning period from the weather data (weather forecast). In FIG. 4, the certificate prediction data predicted by the certificate prediction unit 112 is "0.40 yen / kWh" at 0:00 on July 1, 2023, "0.43 yen / kWh" at 0:30 on July 1, 2023, "0.41 yen / kWh" at 1:00 on July 1, 2023, and "0.49 yen / kWh" at 1:30 on July 1, 2023. The weather data (weather forecast) used here are forecasts (predicted values) of weather, temperature, and solar radiation at 0:00 on July 1, 2023, and 1:00 on July 1, 2023.

[0047] 5 is a schematic diagram illustrating an operation example (part 2) of the certificate prediction unit 112 in this embodiment. In Fig. 5 as well, the certificate prediction unit 112 generates certificate prediction data using past weather data stored in the weather data storage unit 211, past certificate data stored in the certificate data storage unit 213, and weather data (weather forecast) for the predicted planning period stored in the weather data storage unit 211, but the contents of the certificate data and the certificate prediction data are different from those in Fig. 4.

[0048] 5, the certificate data includes multiple certificates E1 and E2. The certificate data for certificate E1 includes a set of time-specific energy amounts: "9.9 kWh" at 0:00 on April 1, 2023, "9.8 kWh" at 0:30 on April 1, 2023, "8.9 kWh" at 23:00 on June 30, 2023, and "8.2 kWh" at 23:30 on June 30, 2023, as well as the price for these amounts (i.e., the price from April 1 to June 30) of "20,000 yen."

[0049] The certificate forecast data also includes multiple certificate forecast data for certificates E1 and E2. The certificate forecast data for certificate E1 includes a set of hourly energy amounts: "8.9 kWh" at 0:00 on July 1, 2023, "8.8 kWh" at 0:30 on July 1, 2023, "9.1 kWh" at 23:00 on September 30, 2023, and "7.9 kWh" at 23:30 on September 30, 2023, as well as the price for these (i.e., the price from July 1 to September 30) of "20,000 yen."

[0050] 2, the power demand forecasting unit 113 forecasts the hourly power demand of each consumer for a planning period (future). The power demand forecasting unit 113 may forecast the hourly power demand of a consumer for a planning period from the forecasted weather data for the planning period using a trained model that has learned the relationship between past weather data and past power demand data of the consumer through machine learning.

[0051] The renewable energy power generation amount prediction unit 114 predicts the renewable energy power generation amount by hour for the planned period (future) of each consumer. The renewable energy power generation amount prediction unit 114 may predict the renewable energy power generation amount by hour for the planned period of the consumer from the predicted weather data for the planned period, using a trained model that has learned the relationship between past weather data and the consumer's past renewable energy power generation amount by machine learning.

[0052] 6 is a schematic diagram illustrating an example of the operation of the power demand prediction unit 113 and the renewable energy power generation amount prediction unit 114 in this embodiment. In the example of Fig. 6, the power demand prediction unit 113 generates power demand prediction data for the planning period using past weather data stored in the weather data storage unit 211, past power demand data stored in the power demand data storage unit 214, and weather data (weather forecast) for the predicted planning period stored in the weather data storage unit 211.

[0053] In addition, the renewable energy power generation prediction unit 114 generates renewable energy power generation prediction data for the planning period using past weather data stored in the weather data storage unit 211, past renewable energy power generation data stored in the renewable energy power generation data storage unit 215, and weather data (weather forecast) for the predicted planning period stored in the weather data storage unit 211.

[0054] 6, the past weather data used by the power demand prediction unit 113 and the renewable energy power generation amount prediction unit 114 is the same as in Fig. 3 etc. The past power demand data used by the power demand prediction unit 113 includes power demand data of consumer D1 and power demand data of consumer D2. Similarly, the renewable energy power generation amount data used by the renewable energy power generation amount prediction unit 114 includes renewable energy power generation amount data of consumer D1 and renewable energy power generation amount data of consumer D2.

[0055] The electricity demand data for consumer D1 is as follows: at 0:00 on April 1, 2023, load R1 is "0.20 kWh", load R2 is "0.05 kWh", load R3 is "0.00 kWh", and at 0:30 on April 1, 2023, load R1 is "0.20 kWh", load R2 is "0.04 kWh", load R3 is "0.00 kWh", etc. In addition, the renewable energy power generation data for consumer D1 is "0.00 kWh" at 0:00 on April 1, 2023, and "0.00 kWh" at 0:30 on April 1, 2023.

[0056] The power demand forecasting unit 113 performs machine learning on the relationship between the weather data and the power demand data to generate a trained model, and uses this trained model to predict power demand forecast data from the weather data (weather forecast). In FIG. 6, the power demand forecast data predicted by the power demand forecasting unit 113 is: load R1 "0.21 kWh", load R2 "0.04 kWh", load R3 "0.00 kWh" at 0:00 on July 1, 2023; and load R1 "0.20 kWh", load R2 "0.05 kWh", load R3 "0.00 kWh" at 0:30 on July 1, 2023. The weather data (weather forecast) used here are forecasts (predicted values) of weather, temperature, and solar radiation at 0:00 on July 1, 2023 and 1:00 on July 1, 2023.

[0057] The renewable energy power generation amount prediction unit 114 performs machine learning on the relationship between the weather data and the renewable energy power generation amount data to generate a trained model, and uses this trained model to predict renewable energy power generation amount prediction data from the weather data (weather forecast). In FIG. 6, the renewable energy power generation amount prediction data predicted by the renewable energy power generation amount prediction unit 114 is "0.00 kWh" at 0:00 on July 1, 2023, and "0.00 kWh" at 0:30 on July 1, 2023. The weather data (weather forecast) used at this time are also forecasts (predicted values) of weather, temperature, and solar radiation at 0:00 on July 1, 2023, and 1:00 on July 1, 2023.

[0058] Returning to FIG. 2 , the environmental value requirement calculation unit 120 calculates the hourly environmental value requirement of a consumer using environmental value requirement information indicating the consumer's requirements regarding the environmental value of the supplied electricity and the predicted hourly electricity demand of the consumer. The environmental value requirement information of a consumer may be an environmental value procurement target, which is the ratio of the environmental value that the consumer aims to procure to the electricity demand. If one consumer has multiple loads, an environmental value procurement target may be set for each of the multiple loads. For example, the environmental value requirement calculation unit 120 may calculate the hourly environmental value requirement of a consumer for the planning period by multiplying the hourly electricity demand of the consumer for the planning period predicted by the power demand forecasting unit 113 by the environmental value procurement target of the consumer.

[0059] Fig. 7 is a schematic diagram illustrating an example of the operation of the environmental value required amount calculation unit 120 in this embodiment. In the example of Fig. 7, the environmental value required amount calculation unit 120 calculates a weighted sum by time for each consumer based on the environmental value procurement target data stored in the environmental value procurement target data storage unit 260 of the power demand forecast data stored in the power demand forecast data storage unit 244, to generate time-by-time environmental value required amount data.

[0060] The electricity demand forecast data is the same as in Figure 6. The environmental value procurement target data includes environmental value procurement target data for consumer D1 and environmental value procurement target data for consumer D2. The environmental value procurement target data for consumer D1 is "100%" for load R1, "80%" for load R2, and "0%" for load R3.

[0061] The time-of-day environmental value required amount data includes time-of-day environmental value required amount data for consumer D1 and time-of-day environmental value required amount data for consumer D2. The time-of-day environmental value required amount data for consumer D1 is "0.242 kWh" at 0:00 on July 1, 2023, and "0.240 kWh" at 0:30 on July 1, 2023. For example, the "0.242 kWh" at 0:00 on July 1, 2023 is calculated by multiplying "0.21" from the electricity demand forecast data for load R1 at 0:00 on July 1, 2023 by "100%" from the environmental value procurement target data for load R1; "0.04" from the electricity demand forecast data for load R2 at 0:00 on July 1, 2023 by "80%" from the boundary value procurement target data for load R2; and "0.00" from the electricity demand forecast data for load R3 at 0:00 on July 1, 2023 by "0%" from the boundary value procurement target data for load R3.

[0062] Returning to FIG. 2 , the energy / environmental value adjustment procurement planning unit 130 (adjustment procurement planning unit) determines an adjustment amount for the predicted value of the consumer's hourly electricity demand and an hourly procurement amount of the environmental value of the consumer so as to satisfy the consumer's hourly environmental value requirement calculated by the environmental value requirement calculation unit 120. The energy / environmental value adjustment procurement planning unit 130 may determine the adjustment amount and the procurement amount by solving an optimization problem using mathematical programming, in which the objective function is the sum of the electricity purchase price, the environmental value purchase price, and the price of the adjustment amount. Any known method may be used as the mathematical programming method.

[0063] Examples of equations that represent the optimization problem with this objective function are the following equations (1) to (4). First, the known values ​​and sets for the energy and environmental value adjustment procurement planning unit 130 are as follows: T is a set of times t in the planning period. C is a set of consumers c. I is a set of certificates i. S is the feasible region for adjusting the power demand. p retail (c,t) is the electricity rate [yen / kWh] for consumer c at time t. retail(c, t) may be electricity market price forecast data or retail contract data, and may differ depending on the consumer c. eco (t) is the unit price of environmental value at time t [yen / kWh]. eco (t) is the certificate prediction data as shown in Figure 4. eco (i) is the price of certificate i [yen]. Q eco (t,i) is the amount of electricity [kWh] of certificate i at time t. eco (i), Q eco (t, i) is the certificate prediction data as shown in FIG.

[0064] D kWh (c, t) is the power demand [kWh] of consumer c at time t. D kWh (c,t) is the electricity demand forecast data. R(c,t) is the renewable energy power generation amount [kWh] of consumer c at time t. R(c,t) is the renewable energy power generation amount forecast data. D eco (c, t) is the environmental value requirement of consumer c at time t. D eco (c, t) is the time-of-day environmental value required amount data. v(c) is the environmental value target for adjusting the power demand of consumer c, and may differ depending on the load 62 and distributed power source 63 used to adjust the power demand. v(c) is the environmental value procurement target data. η(t, c) is the ratio of environmental value to the amount of power at time t in the retail electricity contract signed by consumer c. η(t, c) is retail contract data.

[0065] I(c) is a set of adjustment candidates i for the power demand of consumer c (e.g., power demand shifts). I(c) is the feasible region for adjusting the power demand of consumer c. Δ(i,c,t) is the change in power demand [kWh] at time t due to adjustment candidate i for consumer c.

[0066] Next, the variables calculated by the energy and environmental value adjustment procurement planning unit 130 are as follows: retail (c,t) is the amount of electricity [kWh] purchased by consumer c at time t. eco(c, t) is the amount of environmental value procured by consumer c at time t [kWh]. eco (c,t) is the environmental value procurement plan. p2p (c,t) is the amount of power [kWh] that consumer c shares with other consumers at time t. s(c,t) is the amount of power demand adjustment [kWh] for consumer c at time t. s(c,t) is the power demand adjustment plan. z(c,i) is a binary variable that takes the value 1 when adjustment candidate i for consumer c is included in the power demand adjustment plan, and 0 when it is not. d p2p+ (c,t) is the amount of electricity [kWh] that consumer c provides to other consumers at time t, and d p2p- (c, t) is the amount of electricity [kWh] that consumer c receives from other consumers at time t. p2p+ (c,t) is the electricity demand adjustment plan. p2p+ (c,t) is the price [yen / kWh] when consumer c lends electricity to other consumers at time t, and p p2p- (c,t) is the price [yen / kWh] when consumer c borrows electricity from other consumers at time t. eco_buy (i) is a binary variable that takes the value 1 when consumer c purchases certificate i and 0 when he does not.

[0067]

number

[0068] When this formula (1) is used, the energy and environmental value adjustment procurement planning unit 130 calculates s(c, t) and d by mathematical programming. eco Find (c,t).

[0069]

number

[0070] When this formula (2) is used, the energy and environmental value adjustment procurement planning unit 130 calculates z(c, i) and d by mathematical programming. ecoFurthermore, the energy / environmental value adjustment procurement planning unit 130 determines the adjustment amount from among a plurality of predetermined adjustment amount patterns (Δ(i, c, t)).

[0071]

number

[0072] When this formula (3) is used, the energy and environmental value adjustment procurement planning unit 130 calculates d p2p (c,t) and d eco (c, t) is calculated. The adjustment amount includes the amount of power interchange between multiple consumers.

[0073]

number

[0074] When this formula (4) is used, the energy and environmental value adjustment procurement planning unit 130 calculates s(c, t) and d by mathematical programming. eco_buy (i) is calculated. In this equation (4), the procurement amount consists of one or more certificates of environmental value.

[0075] In addition, in equations (1) to (4), d eco When calculating (c,t), D eco R(c,t) is subtracted from (c,t). As a result, the energy and environmental value adjustment procurement planning unit 130 calculates the required amount of environmental value by time by further using the predicted value of power generation by the customer's equipment by time (renewable energy power generation amount prediction data).

[0076] Furthermore, although the formulas (1) to (4) use the simple sum of the purchase price of electricity, the purchase price of environmental value, and the price for the adjustment amount, a weighted sum may also be used. For example, the second sigma term in the formulas (1) to (4) can be calculated by the consumer c using p eco (t)d eco (c,t) or p eco (i)d eco_buyThese may be combined, such as (i).

[0077] The display unit 140, the energy / environmental value adjustment procurement planning unit 130, displays the amount of adjustment to the predicted value of each consumer's hourly electricity demand, or the amount of environmental value procurement for each consumer's hourly electricity demand. This display may be performed using a display or the like provided in the electricity environmental value integrated management device 10, or may be performed using another device communicably connected to the electricity environmental value integrated management device 10. For example, the display unit 140 displays any one of a graph showing the increase or decrease due to the amount of adjustment to the predicted value of the consumer's hourly electricity demand, a graph showing the increase or decrease due to the amount of adjustment to the predicted value of the consumer's hourly environmental value, and a graph showing the increase or decrease due to the amount of adjustment to the procurement plan value of the consumer's hourly environmental value.

[0078] FIG. 8 is an example of a graph notifying an adjustment amount (increase) by the display unit 140 in this embodiment. The graph in FIG. 8 shows a breakdown by demand of a one-day power demand adjustment plan for a certain consumer. In the graph in FIG. 8, the horizontal axis represents time and the vertical axis represents power demand [kWh]. This graph is a bar graph in which power demand forecast data for loads R1, R2, and R3 are stacked, and the power demand at 4:30, 5:00, and 5:30 is displayed as an increase in demand adjustment amount (increase DR (demand response)) due to a shift or the like. This graph notifies the operator, consumer, etc. of the time when power demand increased due to power demand adjustment and the amount of increase.

[0079] FIG. 9 is an example of a graph notifying the amount of adjustment (reduction) by the display unit 140 in this embodiment. The graph in FIG. 9 shows a breakdown of procurement in a one-day power demand adjustment plan for a certain consumer. In the graph in FIG. 9, the horizontal axis represents time, and the vertical axis represents power demand [kWh]. This graph is a bar graph in which the amount of purchased power and the amount of renewable energy generated are stacked, and the power demand at 21:30, 22:00, and 22:30 is displayed as the amount of demand adjustment (downward DR) reduced by shifting, etc. This graph notifies the operator, consumer, etc. of the time when power demand was reduced by power demand adjustment and the amount of reduction.

[0080] FIG. 10 is an example of a graph notifying the procurement amount (increase) by the display unit 140 in this embodiment. The graph in FIG. 10 shows a breakdown of the daily environmental value adjustment plan of a certain consumer by demand. In the graph in FIG. 10, the horizontal axis represents time, and the vertical axis represents environmental value [kWh]. This graph is a bar graph that accumulates the required amount of environmental value (time-of-day environmental value required amount data) and the increase in environmental value due to the adjustment of electricity demand. In FIG. 10, the environmental values ​​at 4:30, 5:00, and 5:30 are displayed, including the increase due to demand adjustment (upward DR) that has been increased due to shifts, etc. This graph notifies the operator, consumer, etc. of the time when the required environmental value has increased due to the adjustment of electricity demand, and the amount of increase.

[0081] FIG. 11 is an example of a graph displayed on the display unit 140 in this embodiment to display the amount of procurement (reduction). The graph in FIG. 11 shows a breakdown of the procurement of a certain consumer's daily environmental value adjustment plan. In the graph in FIG. 11, the horizontal axis represents time, and the vertical axis represents environmental value [kWh]. This graph is a bar graph that stacks the environmental value based on the certificate purchase (certificate purchase amount), the environmental value included in the retail contract (for the electricity rate plan), the environmental value generated by the distributed power source 63 (for renewable energy generation), and the reduction in environmental value due to the adjustment of power demand. In FIG. 11, the environmental values ​​at 21:30, 22:00, and 22:30 are displayed, including the reduction due to demand adjustment (downward demand reduction) resulting from a shift or other reduction. This graph notifies the operator, consumer, etc. of the time and amount of reduction in the required environmental value due to the adjustment of power demand.

[0082] FIG. 12 is an explanatory diagram illustrating the hardware configuration of each device according to this embodiment. The devices are an electricity environmental value integrated management device 10 and a database system 20. Each device includes an input / output module I, a memory module M, and a control module P. The input / output module I is implemented by including some or all of the communication module H11, connection module H12, pointing device H21, keyboard H22, display H23, button H3, microphone H41, speaker H42, camera H51, and sensor H52. The memory module M is implemented by including a drive H7. The memory module M may further be configured by including some or all of memory H8. The control module P is implemented by including memory H8 and a processor H9. These hardware components are connected to each other so as to be able to communicate with each other via a bus, and are supplied with power from a power supply H6.

[0083] The connection module H12 is a digital input / output port such as a USB (Universal Serial Bus). The pointing device H21, keyboard H22, and display H23 may be touch panels. The sensor H52 may be an acceleration sensor, a gyro sensor, a GPS receiver module, a proximity sensor, or the like. The power supply H6 is a power supply unit that supplies the electricity necessary to operate each device. The power supply H6 may be a battery. The drive H7 is an auxiliary storage medium such as a hard disk drive or a solid-state drive. The drive H7 may be a non-volatile memory such as an EEPROM or a flash memory, or a magneto-optical disk drive or a flexible disk drive. The drive H7 is not limited to being built into each device, but may also be an external storage device connected to the connector of the connection module H12. The memory H8 is a main storage medium such as a random access memory. The memory H8 may be a cache memory. The memory H8 stores instructions when executed by one or more processors H9. The processor H9 is a CPU (Central Processing Unit). The processor H9 may be an MPU (microprocessing unit) or a GPU (graphics processing unit). The processor H9 reads programs and various data from the drive H7 via the memory H8 and performs calculations to execute instructions stored in one or more memories H8.

[0084] The input / output module I is used in the power environmental value integrated management device 10, the database system 20, etc. The control module P is used to implement each part of the power environmental value integrated management device 10 and the database system 20. In this specification, etc., the terms "power environmental value integrated management device 10" and "database system 20" may be replaced with the term "control module P."

[0085] The present disclosure may be embodied as follows. (1) One embodiment of the present disclosure is an integrated electricity environmental value management device that includes an environmental value requirement calculation unit that calculates the hourly environmental value requirement of the consumer using environmental value requirement information indicating the consumer's requirements regarding the environmental value of the electricity to be supplied and a predicted hourly electricity demand of the consumer, and an adjustment procurement planning unit that determines an adjustment amount for the predicted hourly electricity demand of the consumer and an hourly environmental value procurement amount of the consumer so as to satisfy the hourly environmental value requirement.

[0086] As a result, the electricity environmental value integrated management device can determine the amount of environmental value to be procured according to the electricity demand and the required amount of environmental value, which change with time.

[0087] (2) Another embodiment of the present disclosure is the electricity environmental value integrated management device described in (1), wherein the adjustment procurement planning unit determines the adjustment amount and the procurement amount by solving an optimization problem using mathematical programming, in which the sum of the purchase price of electricity, the purchase price of environmental value, and the price of the adjustment amount is the objective function.

[0088] This allows the electricity environmental value integrated management device to reduce the sum of the purchase price of electricity and the purchase price of environmental value.

[0089] (3) Another embodiment of the present disclosure is an integrated electricity environmental value management device as described in (1) or (2), wherein the adjustment procurement planning unit further uses a predicted value of the power generation by the customer's equipment by time of day to calculate the required amount of environmental value by time of day.

[0090] This allows the electricity environmental value integrated management device to take into consideration the environmental value when the power generation by the consumer's facility has an environmental value.

[0091] (4) Another embodiment of the present disclosure is an integrated management device for electricity environmental value described in any one of (1) to (3), which includes a display unit that displays at least one of a graph showing the increase or decrease due to the adjustment amount relative to the predicted value of the electricity demand of the customer by time of day, a graph showing the increase or decrease due to the adjustment amount relative to the predicted value of the environmental value of the customer by time of day, and a graph showing the increase or decrease due to the adjustment amount relative to the procurement plan value of the environmental value of the customer by time of day.

[0092] This allows the electricity environmental value integrated management device to notify the effect on electricity demand or environmental value of the determined adjustment amount.

[0093] (5) Another embodiment of the present disclosure is an integrated management device for electricity environmental value described in any one of (1) to (4), wherein the adjustment procurement planning unit determines the adjustment amount from among a plurality of predetermined adjustment amount patterns.

[0094] This allows the electricity environmental value integrated management device to use a predetermined pattern of adjustment amounts.

[0095] (6) Another embodiment of the present disclosure is an integrated electricity environmental value management device described in any one of (1) to (5), wherein the environmental value requirement calculation unit calculates the environmental value requirement by time for each of a plurality of consumers, and the adjustment amount includes the amount of electricity exchanged between the plurality of consumers.

[0096] This allows the electric power environmental value integrated management device to take into consideration the interchange of electric power between consumers.

[0097] (7) Another embodiment of the present disclosure is the electricity environmental value integrated management device according to any one of (1) to (6), wherein the procurement amount is constituted by one or more certificates of environmental value.

[0098] This allows the electricity environmental value integrated management device to include in the procurement plan a certificate that is a set of electricity amounts set for each time within a certain period.

[0099] (8) Another embodiment of the present disclosure is an integrated electricity environmental value management system including an environmental value requirement calculation unit that calculates an hourly environmental value requirement using environmental value requirement information indicating a consumer's requirements regarding the environmental value of the electricity to be supplied and a predicted hourly electricity demand of the consumer; an adjustment procurement planning unit that determines an adjustment amount for the predicted hourly electricity demand of the consumer and an hourly environmental value procurement amount for the consumer so as to satisfy the hourly environmental value requirement; and a demand control unit that controls the consumer's electricity demand in accordance with the electricity demand value reflecting the adjustment amount.

[0100] As a result, the electricity environmental value integrated management system is able to determine the amount of environmental value to be procured according to the electricity demand and the required amount of environmental value, which change with time.

[0101] (9) Another embodiment of the present disclosure is a method for integrated management of electricity environmental value, which includes the steps of: calculating an hourly environmental value requirement using environmental value requirement information indicating a consumer’s requirements regarding the environmental value of the electricity to be supplied and a predicted hourly electricity demand of the consumer; and determining an adjustment amount for the predicted hourly electricity demand of the consumer and an hourly environmental value procurement amount for the consumer so as to satisfy the hourly environmental value requirement.

[0102] As a result, the electricity environmental value integrated management method can determine the procurement amount of environmental value according to the electricity demand and the required amount of environmental value, which change with time.

[0103] (10) Another embodiment of the present disclosure is a program for causing a computer to function as an environmental value requirement calculation unit that calculates the hourly environmental value requirement using environmental value requirement information indicating a consumer’s requirements regarding the environmental value of the electricity to be supplied and the consumer’s predicted hourly electricity demand, and an adjustment procurement planning unit that determines the amount of adjustment to the consumer’s predicted hourly electricity demand and the amount of environmental value procured by the consumer at each time so as to satisfy the hourly environmental value requirement.

[0104] This allows the program to determine the amount of environmental value to be procured according to the electricity demand and the required amount of environmental value, which change with time.

[0105] 1 may be recorded on a computer-readable recording medium, and the program recorded on this recording medium may be read into a computer system and executed to realize the power environmental value integrated management device 10 and the database system 20. Note that the term "computer system" here includes hardware such as an OS and peripheral devices.

[0106] Furthermore, if a WWW system is used, the "computer system" also includes the homepage provision environment (or display environment). "Computer-readable recording media" refers to portable media such as flexible disks, optical magnetic disks, ROMs, and CD-ROMs, as well as storage devices such as hard disks built into computer systems. Furthermore, "computer-readable recording media" also includes devices that dynamically store programs for a short period of time, such as communication lines used when transmitting programs over networks like the Internet or over communication lines like telephone lines, and devices that store programs for a fixed period of time, such as volatile memory within computer systems that serve as servers or clients. The programs may also be programs that implement some of the aforementioned functions, or may be programs that can realize the aforementioned functions in combination with programs already stored in the computer system.

[0107] The embodiments of this disclosure have been described in detail above with reference to the drawings, but the specific configuration is not limited to this embodiment, and design changes and the like are also included within the scope that does not deviate from the gist of this disclosure. [Explanation of symbols]

[0108] 10. Integrated electricity and environmental value management device 20 Database Systems 30 Electricity Trading Market System 40 Environmental Value Certificate Trading Market System 50 Weather Forecasting System 60 Consumer equipment 61 Monitoring and control terminal 62 Load 63 Distributed power generation 110 Prediction Department 111 Electricity Market Price Forecasting Department 112 Certificate Prediction Department 113 Electricity Demand Forecasting Department 114 Renewable Energy Power Generation Forecasting Department 120 Environmental Value Requirement Calculation Department 130 Energy and Environmental Value Adjustment Procurement Planning Department 140 Display section 210 Predictive input data storage unit 211 Weather data storage unit 212 Electricity Market Price Data Storage Unit 213 Certificate data storage unit 214 Electricity demand data storage unit 215 Renewable energy power generation data storage unit 220 Retail contract data storage unit 230 Consumer equipment data storage unit 240 Planning input data storage unit 241 Prediction output data storage unit 242 Electricity market price forecast data storage unit 243 Certificate Prediction Data Storage Unit 244 Power demand forecast data storage unit 245 Renewable energy power generation forecast data storage unit 246 Time-specific environmental value required data storage unit 250 Plan output data storage unit 251 Electricity Demand Adjustment Plan Memory Unit 252 Environmental Value Procurement Plan Memory Section 260 Environmental Value Procurement Target Data Storage Unit

Claims

1. an environmental value required amount calculation unit that calculates the hourly environmental value required amount of the consumer using environmental value required information indicating the consumer's requirements regarding the environmental value of the supplied electricity and a predicted value of the consumer's hourly electricity demand; an adjustment procurement planning unit that determines an adjustment amount for a predicted value of the hourly electricity demand of the consumer and an hourly procurement amount of the environmental value of the consumer so as to satisfy the hourly environmental value requirement; An integrated management device for power environmental value comprising:

2. The integrated management device for electricity and environmental value of claim 1, wherein the adjustment procurement planning unit determines the adjustment amount and the procurement amount by solving an optimization problem using mathematical programming, in which the sum of the purchase price of electricity, the purchase price of environmental value, and the price of the adjustment amount is used as an objective function.

3. The electric power environmental value integrated management device according to claim 1 , wherein the adjustment procurement planning unit further uses a predicted value of power generation by the customer's facility by time of day to calculate the required amount of environmental value by time of day.

4. a display unit that displays at least one of a graph showing an increase or decrease due to the adjustment amount with respect to a predicted value of the power demand of the customer by time of day, a graph showing an increase or decrease due to the adjustment amount with respect to a predicted value of the environmental value of the customer by time of day, and a graph showing an increase or decrease due to the adjustment amount with respect to a procurement plan value of the environmental value of the customer by time of day. The integrated management device for electric power environmental value according to claim 1, comprising:

5. 5. The integrated management device for electric power environmental value according to claim 1, wherein the adjustment procurement planning unit determines the adjustment amount from among a plurality of predetermined patterns of adjustment amounts.

6. the environmental value required amount calculation unit calculates an environmental value required amount by time for each of a plurality of consumers, The adjustment amount includes an amount of power interchange between the plurality of consumers. The integrated management device for electric power environmental value according to any one of claims 1 to 4.

7. 5. The integrated management device for electric power environmental value according to claim 1, wherein the procurement amount is constituted by one or more certificates of environmental value.

8. an environmental value required amount calculation unit that calculates an hourly environmental value required amount using environmental value required information indicating a consumer's request regarding the environmental value of the supplied electricity and a predicted value of the consumer's hourly electricity demand; an adjustment procurement planning unit that determines an adjustment amount for a predicted value of the consumer's hourly electricity demand and an hourly procurement amount of the consumer's environmental value so as to satisfy the hourly environmental value requirement; a demand control unit that controls the power demand of the customer in accordance with the power demand value that reflects the adjustment amount; An integrated electricity environmental value management system equipped with the above.

9. calculating an hourly required amount of environmental value using environmental value requirement information indicating a consumer's requirement regarding the environmental value of the supplied electricity and a predicted hourly electricity demand of the consumer; determining an adjustment amount for a predicted value of the hourly electricity demand of the customer and an hourly procurement amount of the environmental value of the customer so as to satisfy the hourly environmental value requirement; The integrated management method for electricity and environmental value has the above-mentioned features.

10. Computer, an environmental value required amount calculation unit that calculates an hourly environmental value required amount using environmental value required information indicating a customer's request regarding the environmental value of the supplied electricity and a predicted value of the customer's hourly electricity demand; an adjustment procurement planning unit that determines an adjustment amount for a predicted value of the hourly power demand of the customer and an hourly procurement amount of the environmental value of the customer so as to satisfy the hourly environmental value requirement; A program to function as a

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