WO2023171144A1 - Procédé de gestion d'électricité, dispositif de traitement d'informations et programme - Google Patents

Procédé de gestion d'électricité, dispositif de traitement d'informations et programme Download PDF

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Publication number
WO2023171144A1
WO2023171144A1 PCT/JP2023/001487 JP2023001487W WO2023171144A1 WO 2023171144 A1 WO2023171144 A1 WO 2023171144A1 JP 2023001487 W JP2023001487 W JP 2023001487W WO 2023171144 A1 WO2023171144 A1 WO 2023171144A1
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power
power generation
consumer
consumers
electricity
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PCT/JP2023/001487
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English (en)
Japanese (ja)
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恭彰 岩田
暢之 中村
省吾 丹保
裕宗 野村
剛 杉村
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出光興産株式会社
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Publication of WO2023171144A1 publication Critical patent/WO2023171144A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00—Economic sectors
    • G16Y10/35—Utilities, e.g. electricity, gas or water
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00—Information sensed or collected by the things
    • G16Y20/30—Information sensed or collected by the things relating to resources, e.g. consumed power
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/30—Control

Definitions

  • the present disclosure relates to a technology for determining the allocation of power supplied from multiple power generation facilities.
  • Patent Document 1 describes a technology for selecting a power category and purchasing power using a blockchain in which information related to power transactions between suppliers and consumers is registered.
  • the present invention provides a technology for determining the allocation of power supplied from multiple power generation facilities to multiple consumers in real time.
  • One aspect of the present disclosure includes a step in which a power receiving facility receives power from a plurality of power generating facilities including a power generating facility that generates power using renewable energy, and a step in which a power receiving facility receives power from a plurality of consumers corresponding to the power receiving facility. for each of the plurality of power generation facilities, determining the allocation of the power supplied from the power generation facility to the plurality of consumers according to the request; and recording the power management method.
  • Another aspect of the present disclosure is a reception unit that receives a request to specify the type of power generation from a plurality of consumers corresponding to power receiving equipment that receives power from a plurality of power generation equipment including renewable energy power generation equipment; Information comprising, for each of the plurality of power generating facilities, a determining means for determining the allocation of power supplied from the power generating facility to the plurality of consumers according to the request, and a recording means for recording the power allocation.
  • Information comprising, for each of the plurality of power generating facilities, a determining means for determining the allocation of power supplied from the power generating facility to the plurality of consumers according to the request, and a recording means for recording the power allocation.
  • Yet another aspect of the present disclosure provides a step in which a power receiving facility receives power from a plurality of power generating facilities including a power generating facility that generates power using renewable energy, and from a plurality of consumers corresponding to the power receiving facility. a step of accepting a request specifying a type of power generation; a step of determining, for each of the plurality of power generation facilities, an allocation of power supplied from the power generation facility to the plurality of consumers according to the request; Provided are steps for recording the allocation of the data and a program for performing the steps.
  • the present invention it is possible to determine in real time the allocation of electric power supplied from a plurality of power generation facilities to a plurality of consumers.
  • FIG. 1 is a diagram showing an overview of a power control system according to an embodiment.
  • FIG. 2 is a diagram illustrating a functional configuration of a power control system.
  • FIG. 3 is a diagram illustrating the hardware configuration of a server. 7 is a flowchart illustrating the operation of a server that determines power allocation.
  • FIG. 3 is a diagram illustrating how to allocate power.
  • FIG. 3 is a diagram illustrating how to allocate power.
  • FIG. 3 is a diagram illustrating how to allocate power.
  • FIG. 3 is a diagram illustrating how to allocate power.
  • FIG. 1 is a diagram showing an overview of a power control system 1 according to an embodiment.
  • the power control system 1 includes power generation equipment that generates regular power and power generation equipment that generates clean power.
  • Regular electricity refers to electricity that includes at least a portion of electricity that is generated without using renewable energy.
  • Renewable energy refers to non-fossil energy sources that are recognized to be permanently usable as energy sources, such as sunlight, wind power, hydropower, geothermal heat, solar heat, atmospheric heat, and other sources of natural energy. Refers to the heat that exists.
  • regular power is, for example, power obtained by thermal power generation.
  • regular power is expressed as R power.
  • Clean electricity refers to electricity generated using renewable energy.
  • clean power is expressed as CL power.
  • the power control system 1 includes, for example, a power generation facility 71, a power generation facility 72, and a power generation facility 73 as a plurality of power generation facilities.
  • the power generation equipment 71 is equipment that generates regular power.
  • the power generation equipment 72 is a solar power generation equipment.
  • the power generation equipment 73 is a wind power generation equipment.
  • the power control system 1 controls the supply of power to a plurality of consumers H.
  • Consumer H refers to a person receiving power supply (depending on the context, consumer H may refer to the equipment).
  • FIG. 1 shows two consumers, consumer H[1] and consumer H[2]. Note that the number of consumers H is not limited to two, and the power control system 1 may supply power to three or more consumers H. When a plurality of consumers are not distinguished, they are simply referred to as consumer H.
  • the power control system 1 controls devices for each consumer H in order to optimize energy management at each consumer H.
  • Consumer H refers to a person who receives and uses electricity. Consumer H has equipment 75 and equipment 76.
  • the equipment 75 and the equipment 76 are examples of power consuming equipment, such as an airport, a factory, an office building, a restaurant, an entertainment facility, or a supermarket. Further, the consumer H includes, for example, a storage battery, a plurality of power loads, a power meter, a measuring device, and a control device (all not shown).
  • the user terminal 50 is a terminal that can receive various information from the server 40, and is used by the customer H. When distinguishing the user terminals corresponding to each consumer [H], they are expressed as user terminals 50[1] and 50[2].
  • the various information includes at least one of a supplier ID, a maximum clean power ratio, and a sales price of electricity.
  • the maximum clean power ratio is the maximum value of the clean power ratio.
  • the clean power ratio refers to the ratio of clean power (or purity of clean power) to the power supplied to consumer H during a certain period. For example, if clean power is 12 kWh out of 30 kWh of power, the clean power ratio is 40%.
  • the user terminal 50 is a terminal that accepts a selection operation of information specifying the type of electricity that the consumer H accepts.
  • the type of electricity refers to a distinction based on the power generation method or the energy used for power generation, and includes, for example, a distinction based on the percentage of clean electricity.
  • the power receiving equipment 74 is equipment that receives power (usually high voltage) generated by the power generation equipment 71, the power generation equipment 72, and the power generation equipment 73, and converts it into a voltage that can be finally used.
  • the power receiving equipment 74 includes a transformer, a circuit breaker, a wattmeter, and the like (all not shown).
  • the power receiving equipment 74 receives power from the power generation equipment 71, the power generation equipment 72, and the power generation equipment 73 through separate power lines.
  • the power receiving equipment 74 has a wattmeter corresponding to each of the power generation equipment 71, the power generation equipment 72, and the power generation equipment 73, and measures the amount of power received from the power generation equipment 71, the power generation equipment 72, and the power generation equipment 73. .
  • the power receiving equipment 74 distributes the received power to the plurality of consumers H according to a predetermined allocation. When one consumer H owns multiple power consuming facilities, power is allocated to each power consuming facility.
  • Power receiving equipment 74 includes server
  • the server 40 determines the price of electricity to be sold to consumer H and the distribution of electricity (how to allocate electricity).
  • the price of electricity is determined based on the predicted value of electric power demand and the predicted value of the amount of power generation by renewable energy.
  • Power distribution is determined based on requests from user terminals 50. Determining the distribution of power refers to determining how much of the power generated in a certain power generation facility is to be supplied to which customer H.
  • the server 40 receives requests for power sales (or power distribution) from the user terminals 50.
  • the server 40 transmits the determined selling price of electricity and the maximum clean power ratio to the user terminal 50.
  • the server 40 records the schedule and actual results of power allocation.
  • the power allocation schedule is recorded in an allocation database (not shown).
  • the allocation database stores a set of target period, supplier ID, supplier ID, electric energy, clean electric power ratio, and selling price.
  • the supply destination ID is an ID associated with each power consumption facility.
  • power may be supplied from one power generation facility to a plurality of supply destinations.
  • the server 40 can determine how much power is scheduled to be supplied from which power generation facility to which power consumption facility. , can be managed.
  • the allocation database stores the predicted power generation amount corresponding to the power generation equipment 71.
  • power allocation performance is recorded using blockchain technology. That is, the server 40 is one node of the blockchain network, and writes the power allocation performance to the block. This block is managed in a decentralized manner with other nodes in the blockchain network.
  • FIG. 2 is a diagram illustrating the functional configuration of the power control system 1.
  • the power control system 1 includes an acquisition means 201, a prediction means 202, a determination means 203, a presentation means 204, a reception means 205, a determination means 206, a control means 207, a recording means 208, a storage means 209, an acquisition means 210, a reading means 211, and output means 212. These functional elements are implemented in the server 40.
  • the storage means 209 stores various data.
  • the storage means 209 stores a consumer database including information regarding the consumer H. Furthermore, the storage means 209 stores the data recorded by the recording means 208.
  • the acquisition means 201 acquires information used for predicting power demand and information used for predicting power generation amount.
  • the information used to predict electric power demand and the information used to predict power generation amount is, for example, weather information.
  • the prediction means 202 predicts power demand and power generation amount in a predetermined period.
  • the determining means 203 determines the priority for each customer H. The priority is a value given to each customer H. Clean power is preferentially allocated to consumer H with a high priority. Further, the determining means 203 determines the selling price of electricity and the maximum clean power ratio.
  • the presentation means 204 presents options for the type of electricity to the user terminal. These options are displayed on a display screen (not shown) of the user terminal.
  • the receiving means 205 receives selection of options from the user terminal. The selection of options is performed by a person operating the user terminal, specifically, by the administrator of customer H or by a person entrusted by the administrator.
  • the determining means 206 determines how to allocate power to the consumer H. Specifically, it is determined how much of the power to be supplied from the power receiving equipment to the consumer H includes clean power.
  • the control means 207 controls the power receiving equipment 74 to supply power to each consumer H according to a predetermined allocation.
  • the recording means 208 records the performance of power allocation.
  • the acquisition unit 210 acquires from the power receiving equipment 74 records of reception of power (wattmeter data) from the power generation equipment 71 , the power generation equipment 72 , and the power generation equipment 73 .
  • the reading unit 211 reads information included in the customer database.
  • the output means 212 outputs information indicating the performance of power allocation, such as a bill, statement, and receipt. Bills, statements, and receipts related to electricity are documents issued to consumer H.
  • FIG. 3 is a diagram illustrating the hardware configuration of the server 40.
  • the server 40 is a computer device or an information processing device that includes a CPU (Central Processing Unit) 101, a memory 102, a storage 103, and a communication IF (Interface) 104.
  • the CPU 101 is a control device that executes programs, performs various calculations, and controls other hardware elements of the server 40.
  • the memory 102 is a main storage device that functions as a work area when the CPU 101 executes a program.
  • the storage 103 is a nonvolatile auxiliary storage device that stores various programs and data.
  • the communication IF 104 is a communication device that communicates with other devices according to a predetermined communication standard (eg, Ethernet (registered trademark)).
  • the storage 103 stores a program (hereinafter referred to as a "server program") for causing a computer device to function as the server 40 in the power control system 1.
  • the functions shown in FIG. 2 are implemented in the computer device by the CPU 101 executing the server program.
  • the CPU 101 executes the server program.
  • the CPU 101 has the prediction means 202, the determination means 203, the presentation means 204, the determination means 206, and the control means.
  • 207 is an example of the recording means 208
  • the communication IF 104 is an example of the acquisition means 201 and the reception means 205.
  • FIG. 4 is a flowchart illustrating the operation of the server 40 that determines power allocation in the power control system 1.
  • the acquisition unit 201 acquires information used for predicting power demand and information used for predicting power generation amount.
  • the information used for predicting power demand and the information used for predicting power generation amount are acquired from outside the power control system 1 using the Internet, for example.
  • the information used to predict power demand may include at least one of weather information, calendar information, and event information for a predetermined period to be predicted (hereinafter referred to as the "target period"; for example, up to three hours from the current time).
  • the weather information includes temporal changes in predicted values of at least one of temperature, solar radiation, wind direction, and wind speed during the target period.
  • the calendar information includes the month, day, day of the week, season, and public holidays of the target period.
  • Event information is information related to events that are scheduled to occur during the target period.
  • An event is an event that particularly requires electric power, such as the implementation of illumination decorations using light bulbs or the concentration of charging demand for electric vehicles such as before a long holiday.
  • the event information includes, for example, the date and time of the event and (the predicted value of) the amount of power required for the event.
  • the prediction of the amount of power generation refers to the prediction of the amount of clean electricity generated. Since the amount of clean power generated is often influenced by weather conditions, the information used to predict the amount of power generated is weather information. This weather information is the same as the information used for predicting power demand.
  • the acquisition means 201 acquires information used to determine the electricity sales price.
  • the information used to determine the electricity sales price is information indicating the purchase cost of regular electricity, for example, the electricity trading price in the wholesale electricity trading market.
  • the prediction means 202 uses the information acquired in step S401 to predict the power demand of customer H in the target period.
  • the prediction means 202 predicts the power demand for each consumer H. Specifically, the prediction means 202 predicts the amount of power required by the consumer H during the target period. For example, the prediction unit 202 predicts the power demand, taking into consideration that a device that adjusts temperature, such as a cooling device or a heating device, will be operated according to the expected temperature in the target period.
  • the prediction means 202 can predict power demand more appropriately by considering not only weather information but also calendar information or event information.
  • the prediction means 202 has a mathematical model that uses this information as an explanatory variable and uses a predicted value of power demand as an objective variable.
  • the prediction means 202 inputs the information acquired in step S401 into this mathematical model as the value of an explanatory variable, and acquires a predicted value of power demand.
  • the prediction means 202 obtains a predicted value of power demand using a trained machine learning model using training data that uses this information as an explanatory variable and a predicted value of power demand as an objective variable. It's okay.
  • This mathematical model or machine learning model may be generated individually for each consumer H, or may be common to a plurality of consumers H. When a common mathematical model or machine learning model is used for a plurality of consumers H, attributes of the consumers H (location, type of facility, area, etc.) may be added to the explanatory variables.
  • the prediction means 202 uses the weather information acquired in step S401 to predict the amount of clean power generated during the target period.
  • the prediction means 202 predicts the amount of power generated for each power generation facility. For example, with respect to the solar power generation equipment 72, the prediction means 202 predicts the amount of power generation using the predicted amount of solar radiation. For example, with respect to the wind power generation equipment 73, the prediction means 202 predicts the amount of power generation using the wind direction and wind speed.
  • the prediction means 202 has a mathematical model that uses weather information as an explanatory variable and uses a predicted value of power generation amount as an objective variable.
  • the prediction means 202 inputs the weather information acquired in step S401 into this mathematical model as the value of an explanatory variable, and acquires a predicted value of the amount of power generation.
  • the prediction means 202 acquires a predicted value of the amount of power generation using a trained machine learning model using training data in which weather information is an explanatory variable and a predicted value of the amount of power generation is an objective variable.
  • This mathematical model or machine learning model may be generated individually for each power generation facility, or a common model (for example, one for solar power generation facilities) may be used for the same type of power generation facility. It's okay.
  • attributes geographical location, area, etc.
  • the reading unit 211 reads attribute information from the customer database stored in the storage unit 209.
  • the attribute information includes, for example, information indicating whether the consumer H has a specific power consuming facility, such as a storage battery, information indicating the profit rate when selling power to the consumer H, and information regarding the electricity purchase time of the power consuming facility. It includes at least one piece of information indicating the difference from the power usage time.
  • the power consumption equipment corresponds to the equipment 75 or 76 that the consumer H has, for example.
  • FIG. 5 is a diagram illustrating a customer database.
  • the presence or absence of a storage battery, profit rate, (a) electricity purchase time, (b) usage time, and the difference between a and b correspond to attribute information.
  • the reading means 211 reads out the price information stored in the storage means 209.
  • the price information includes, for example, information indicating the amount of money that the manager of the power receiving equipment 74 pays to the manager of the power generation equipment in order to receive the supply of electric power.
  • the determining means 203 determines the priority for each customer H in a predetermined period.
  • the priority is calculated using a predetermined algorithm in consideration of attribute information. Specifically, a consumer H that has a storage battery is set to have a higher priority than a consumer H that does not have a storage battery.
  • the profit rate refers to the profit rate when the manager of the power receiving equipment 74 sells electricity to the consumer H. The higher the profit rate, the higher the priority is set. Furthermore, the larger the difference between the electricity purchase time and the usage time, the higher the priority is set.
  • the determining means 203 determines the amount of electricity that will be consumed in a predetermined period based on the electric power demand predicted in step S402, the amount of power generated by renewable energy predicted in step S403, and the information read out in step S404.
  • the server 40 presents the administrator of the customer H with multiple types of rate options with different clean power ratios. In this example, the maximum clean power ratio is defined such that clean power is sufficient even if all consumers H select the option whose clean power ratio is the maximum clean power ratio.
  • the selling price of electricity to consumer H is set based on the clean electricity ratio. Specifically, the higher the clean power ratio, the higher the selling price of electricity. Specifically, for example, it is as follows.
  • the determining means 203 determines the clean power ratio among the plurality of options. The number of choices is predetermined (for example, four).
  • the first option is the option where the clean power ratio is the maximum clean power ratio.
  • the fourth option is an option where the clean power ratio is zero.
  • the second and third options are options with clean power ratios between the first option and the second option. For example, the second option has a clean power ratio of 2/3 of the first option, and the third option has a clean power ratio of 1/3 of the first option.
  • the first option has a clean power ratio of 75%
  • the second option has a clean power ratio of 50%
  • the third option has a clean power ratio of 25%
  • the third option has a clean power ratio of 25%.
  • the clean power ratio is 0% (ie, regular power).
  • the determining means 203 has an algorithm for determining the selling price of electricity.
  • This algorithm is an algorithm that obtains the sales price of electricity to consumer H from the clean power ratio and the electricity transaction price in the electricity wholesale market.
  • the determining means 203 applies this algorithm to each of the plurality of options and determines the selling price of electricity for each option.
  • the selling price of electricity is 10% higher than the electricity trading price in the electricity wholesale market (this price is the selling price of regular electricity)
  • the selling price of electricity is 10% higher than the electricity trading price in the electricity wholesale market (this price is the selling price of regular electricity).
  • the selling price of electricity is 15% more than regular electricity
  • the selling price of electricity is 20% more than regular electricity. That is, the first option, the second option, and the third option are determined by multiplying the unit price of regular electricity by a coefficient.
  • step S406 the presenting means 204 presents the consumer H with options for selling electricity.
  • This process is performed, for example, in response to the administrator of consumer H operating the user terminal 50 and requesting the server 40 for options for selling electricity (purchasing electricity from the perspective of consumer H).
  • These multiple options have different clean power ratios and electricity sales prices for each option.
  • the administrator of consumer H can select the clean power ratio in the electricity supplied to consumer H and the sales price of the electricity.
  • FIG. 6 is a diagram illustrating a menu screen displayed on the display screen of the user terminal 50.
  • the amount displayed on the menu screen is the price at which the manager of the power receiving facility sells power to consumer H.
  • the options at the top are the options for "regular electricity” (electricity with only regular electricity), and the options at the second to fourth levels are options for "clean electricity” (electricity including clean electricity).
  • Clean electricity is divided into three types depending on the clean power ratio.
  • the selling price of regular electricity is 100 yen/kWh, which is the cheapest among the options.
  • the selling price of clean electricity with the highest clean power ratio of 75% is 120 yen/kWh, which is the highest among the options.
  • selection of a clean power ratio can be encouraged.
  • the consumer H can know the proportion of the clean power that is included in the supplied power.
  • step S407 the accepting means 205 accepts an electric power sales request (or order) from the user terminal 50.
  • the administrator of consumer H selects one option on the display screen of user terminal 50
  • user terminal 50 transmits a power sales request to server 40.
  • This sales request includes identification information of consumer H and information specifying the selected option. In this way, the consumer H can select the clean power ratio (corresponding to specifying the type of power generation related to the power that the consumer H accepts).
  • step S408 the determining means 206 determines how to allocate the electric power accepted by the acquiring means 210 to the consumer H for a predetermined period according to the contents of the options selected in step S407. Specifically, the server 40 aggregates sales requests received from each of the plurality of consumers H at a predetermined timing. The determining means 206 determines the power allocation according to the sales requests of each of the plurality of consumers H. Note that if the total amount of clean power requested by multiple consumers H exceeds the amount of power generation predicted in step S403, then the consumers H with the highest priority are determine the power allocation. That is, it may not be possible to supply power at the requested clean power ratio to a consumer H with a low priority.
  • the determining means 203 assigns a sales ID to the determined allocation.
  • the sales ID is identification information that uniquely identifies the sale of electricity.
  • Storage means 209 records the sales ID and related information in the allocation database.
  • the related information includes, for example, the identification information of the consumer H, the electricity sales period, the clean power ratio, and the sales price.
  • the predicted amount of clean electricity generated fluctuates from moment to moment.
  • prediction of the amount of power generation is always performed (specifically, periodically at a constant cycle).
  • power allocation is always determined using the latest predicted power generation amount. That is, power allocation is determined in real time according to the predicted power generation amount, which changes moment by moment.
  • FIGS. 7, 8, 9, and 10 are diagrams illustrating power allocation schedules.
  • FIG. 7 shows an example where customer H[1] is an airport and customer H[2] is a supermarket.
  • the target period is 13:00-13:30 on a certain day.
  • the power demand of consumer H[1] is 2 kWh
  • the power demand of consumer H[2] is 4 kWh.
  • the airport receives 1 kWh of power from a power generation facility 71 that supplies regular power, and 1 kWh of power from a power generation facility 72 that supplies power generated by solar power generation.
  • the supermarket receives 1 kWh of electricity from a power generation facility 71 that supplies regular electricity, 2 kWh of electricity from a power generation facility 72 that supplies power from solar power generation, and 1 kWh from a power generation facility 73 that supplies power from wind power generation. electricity is supplied.
  • FIG. 8 shows an example in which customer H[1] is a tenant in an airport (a total of two stores, a restaurant and a clothing store), and customer H[2] is a supermarket.
  • the target period is 13:00-13:30 on a certain day.
  • the power demand of consumer H[1] is 1 kWh for a restaurant and 1 kWh for a clothing store, for a total of 2 kWh, and the power demand of consumer H[2] is 4 kWh.
  • contracts between airport operators and tenants stipulate that clothing stores be supplied with at least 90% clean electricity.
  • the airport operator that is, the manager of consumer H[1] selects an option so as to ensure sufficient clean power to be supplied to the clothing store.
  • a restaurant in an airport receives 1 kWh of power from a power generation facility 71 that supplies regular power.
  • a clothing store in the airport receives 1 kWh of power from a power generation facility 72 that supplies power through solar power generation.
  • the power line from the power receiving equipment 74 to the consumer H[1] is not physically separated into regular power and clean power, so the power generated by the power generating equipment 72 is actually directly delivered to the clothing store. This is just a calculated distribution.
  • the supermarket receives 1 kWh of electricity from a power generation facility 71 that supplies regular electricity, 2 kWh of electricity from a power generation facility 72 that supplies power from solar power generation, and 1 kWh from a power generation facility 73 that supplies power from wind power generation. electricity is supplied.
  • FIG. 9 shows an example where consumer H[1] is an airport and consumer H[2] is a charger.
  • the target period is 13:00-13:30 on a certain day.
  • the power demand of consumer H[1] is 2 kWh
  • the power demand of consumer H[2] is 4 kWh.
  • the airport receives 1 kWh of power from a power generation facility 71 that supplies regular power, and 1 kWh of power from a power generation facility 72 that supplies power generated by solar power generation.
  • the charger receives 1 kWh of power from a power generation facility 71 that supplies regular power, 2 kWh of power from a power generation facility 72 that supplies power from solar power generation, and a power generation facility 73 that supplies power from wind power generation. Receives power supply of 1kWh.
  • FIG. 10 shows an example where consumer H[1] is an airport and consumer H[2] is a storage battery and a charger.
  • the target period is 20:00-20:30 on a certain day.
  • the power demand of consumer H[1] during the target period is 2 kWh, and the power demand of consumer H[2] is 4 kWh.
  • a certain percentage (for example, half) of the electricity demand during the target period is allocated to the period when the amount of clean electricity generated is high (for example, 13:00-13:30).
  • the server 40 is requested to receive the supply in advance. Based on this idea, the administrator of consumer H[2] decided to use 2kW for the target period of 13:00-13:30 and the remaining 2kW for the original target period of 20:00-20:30.
  • the server 40 that has previously received a clean power sales request for the target period from 20:00 to 20:30 on February 24th may change the target period.
  • the storage battery supplies 2 kWh of power from power generation equipment 72 that supplies power from solar power generation, and supplies 1 kWh of power from power generation equipment 73 that supplies power from wind power generation. receive.
  • This power is stored in a storage battery.
  • the airport receives 2 kWh of electricity from a power generation facility 71 that supplies regular electricity.
  • the storage battery receives 1 kWh of power from a power generation facility 71 that supplies regular power.
  • a charger charges a device (for example, an electric vehicle) using electric power stored in a storage battery. By storing electric power using a storage battery, clean electric power can be supplied to consumer H even at night when renewable energy is insufficient.
  • step S409 the control means 207 controls the power control system 1 for a predetermined period according to the power allocation determined in step S408. During this time, the amount of electric power (actual results) received from the power generation equipment 71, the power generation equipment 72, and the power generation equipment 73 is recorded in the storage means 209.
  • step S410 the recording means 208 records the allocation performance in the block of the blockchain after the control for a predetermined period in step S409 ends.
  • the amount of power generated by the power generation equipment 72 and the power generation equipment 73 may differ from the prediction due to a difference between weather information (that is, prediction) and actual weather conditions. If the actual performance is lower than the prediction, the recording unit 208 may preferentially allocate clean power to the consumer H with a high priority to satisfy the sales request of the consumer H with a high priority. In this case, there is a possibility that the sales request of customer H, which has a low priority, cannot be satisfied. Alternatively, if the actual performance is lower than the prediction, the recording means 208 uniformly allocates a clean power ratio lower than the sales request to all consumers H. Recording means 208 records these assignments in blocks.
  • equipment 75 and equipment 76 are shown as representative examples of consumers H, but in reality, the power control system 1 may include many servers 40 and many consumers H.
  • the credibility of the power allocation can be increased.
  • the output means 212 outputs information indicating power allocation, and in this example, various documents.
  • the various documents are, for example, bills, statements, or receipts related to electricity issued to consumers.
  • a bill, statement, or receipt related to electricity is transmitted to the user terminal 50 as electronic data.
  • various documents may be output on paper, or may be saved in an electronic file format and output to the outside of the power control system 1 via the Internet or the like.
  • FIG. 11 is a diagram showing a bill related to electricity.
  • regular electricity may be repurchased. If there is a repurchase of regular electricity, a negative amount will be added to the bill.
  • FIG. 12 is a diagram showing a specification regarding electric power.
  • the specification includes date, product name, ID, and quantity.
  • the date is the date when the electricity was purchased.
  • the product name indicates the type of electricity, and indicates whether the purchased electricity is regular electricity or clean electricity.
  • the product name may indicate the power generation method, such as "thermal power generation” or "solar power generation”.
  • ID refers to the supplier ID.
  • the quantity is the amount of power in kWh.
  • FIG. 13 is a diagram showing a receipt related to electricity.
  • the overall clean power ratio for a certain period for example, January
  • the type of electricity is written on the receipt, and the price and quantity (amount of electricity) are written for each type of electricity.
  • the receipt shown in FIG. 13 shows that the unit price is 120 yen/kWh and the quantity is 20 kWh for clean electricity with a clean power ratio of 75%.
  • the clean power amount of the 20 kWh of power is 15 kWh.
  • the ratio of clean electricity to the total amount of electricity written on this receipt is 50%. be.
  • the technology used to record power allocation performance is not limited to blockchain. Distributed ledger technologies other than blockchain may also be used.
  • blockchain technology when blockchain technology is used, blockchain nodes corresponding to each of power generation equipment 71, power generation equipment 72, and power generation equipment 73 are provided, and these nodes record the amount of power generation in each power generation equipment in blocks. Good too.
  • the method for determining the selling price of electricity is not to multiply the unit price of regular electricity by a coefficient, but to determine the unit price of clean electricity, and calculate the price of each option based on the unit price of regular electricity and the unit price of clean electricity. may be determined. For example, if the selling price of regular electricity is 100 yen/kWh, the unit selling price of clean electricity is 150 yen/kWh, and the clean electricity ratio is 80%, the selling price of that electricity is The unit price is 140 yen/kWh.
  • the method for determining the maximum clean power ratio is not limited to that described in the embodiment.
  • the maximum clean power ratio is defined so that even if all consumers H select the option whose clean power ratio is the maximum clean power ratio, the clean power is sufficient.
  • the clean power ratios among the plurality of options may be determined in advance. For example, regardless of the predicted clean power generation amount, the clean power ratio is determined to be 75% for the first option, 50% for the second option, 25% for the third option, and 0% for the fourth option. It is being If the predicted amount of generated clean power is small relative to the predicted power demand, it is predicted that there will be a shortage of clean power if all consumers H select the first option.
  • the determining means 203 limits the sales amount of each option according to the predicted clean power generation amount. In one example, the determining means 203 calculates a value obtained by subtracting the amount of clean power that has already been allocated at that point from the predicted amount of generated clean power as the "allocatable amount of clean power" at that point. The determining means 203 limits the sales amount of each option so that it does not exceed the allocable clean power amount.
  • the clean power ratio for each option is not predetermined, and the clean power ratio for each option may be determined according to the past sales performance of customer H during a predetermined period. For example, if it is known from past sales results that electricity with a clean power ratio of 80% is most likely to be purchased, the determining means 203 sets the clean power ratio of each option as the maximum clean power ratio of 80%. You may decide.
  • a terminal capable of receiving various information from the server 40 is not limited to a mobile terminal such as a smartphone, a portable PC (personal computer), or a tablet PC, but may also be a non-portable PC.
  • the various types of information described in the embodiments are merely examples, and the present invention is not limited thereto.
  • the information used to predict power demand and the information used to predict power generation amount are not limited to the examples described above.
  • the attribute information and equipment information are not limited to the examples described above.
  • the method of determining the priority set for each customer H is not limited to the example described above.
  • the information recorded in each database is also an example, and some of the information may be omitted or other information may be added.
  • the options for selecting the clean power ratio are not limited to the examples described above.
  • an option such as "clean power ratio: low" may be provided, or any number of options may be provided.
  • clean electricity was treated as a whole without distinguishing the details, but for example, if solar power generation and wind power generation are distinguished, the presentation means 204 may present options that distinguish between these ratios. good.
  • the option may include a breakdown of renewable energy used for power generation, such as "solar power generation: 75%.”
  • the options are not limited to the clean power ratio, but may also include the type of power generation.
  • the power generation type is a power generation method for obtaining clean power, and is, for example, solar power or wind power.
  • the method by which the user specifies the clean power ratio is not limited to the method of selecting from a plurality of options presented by the server 40.
  • the clean power ratio may be specified by a method in which the user himself/herself inputs a numerical value of the clean power ratio desired by the user into the user terminal 50.
  • the selection of the clean power ratio may not be performed by the consumer H every predetermined period, but may be performed automatically based on settings made by the consumer H in advance. For example, if consumer H has set a maximum value that does not exceed 120 yen/kWh as the selling price of electricity, the setting is followed. That is, the clean power ratio is automatically selected without receiving any selection from the consumer H.
  • step S411 Some or all of the various documents output in step S411 may be omitted.
  • the correspondence between functional elements and hardware elements in the power control system 1 is not limited to that illustrated in the embodiment.
  • some of the functions described as the functions of the server 40 in the embodiment may be implemented in another server.
  • some of the functions described as the functions of the server 40 in the embodiment may be implemented in other devices on the network.
  • the server 40 may be a physical server or a virtual server (including a so-called cloud server).
  • the operation of the power control system 1 is not limited to the example described above.
  • the order of the processing procedures of the power control system 1 may be changed as long as there is no contradiction. Further, some processing procedures of the power control system 1 may be omitted.
  • the various programs illustrated in the embodiments may be provided by downloading via a network such as the Internet, or may be provided on a computer-readable non-temporary recording medium such as a DVD-ROM (Digital Versatile Disc Read Only Memory). It may be provided in a recorded state.
  • a network such as the Internet
  • DVD-ROM Digital Versatile Disc Read Only Memory

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Abstract

Dans la présente invention, un serveur 40 : reçoit des demandes spécifiant le type de production d'électricité, lesdites demandes provenant d'une pluralité de consommateurs correspondant à des installations de réception d'électricité qui reçoivent de l'électricité fournie par une pluralité d'installations de production d'électricité y compris des installations de production d'électricité qui produisent de l'électricité à l'aide d'énergie renouvelable ; détermine, pour chaque installation de la pluralité d'installations de production d'électricité et conformément aux demandes, l'attribution à la pluralité de consommateurs de l'électricité fournie par les installations de production d'électricité ; et enregistre cette attribution d'électricité.
PCT/JP2023/001487 2022-03-08 2023-01-19 Procédé de gestion d'électricité, dispositif de traitement d'informations et programme WO2023171144A1 (fr)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020189591A1 (fr) * 2019-03-15 2020-09-24 国立大学法人京都大学 Dispositif et système d'alimentation électrique
JP2021083290A (ja) * 2019-11-22 2021-05-27 出光興産株式会社 電力制御方法、電力制御システム、及びプログラム
JP2021086361A (ja) * 2019-11-27 2021-06-03 三菱重工業株式会社 電力取引システム及び電力取引方法
JP2021157783A (ja) * 2020-03-19 2021-10-07 株式会社リコー 通信端末、取引システム、表示方法、及びプログラム

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020189591A1 (fr) * 2019-03-15 2020-09-24 国立大学法人京都大学 Dispositif et système d'alimentation électrique
JP2021083290A (ja) * 2019-11-22 2021-05-27 出光興産株式会社 電力制御方法、電力制御システム、及びプログラム
JP2021086361A (ja) * 2019-11-27 2021-06-03 三菱重工業株式会社 電力取引システム及び電力取引方法
JP2021157783A (ja) * 2020-03-19 2021-10-07 株式会社リコー 通信端末、取引システム、表示方法、及びプログラム

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