WO2018158794A1 - Dispositif de réglage de la demande - Google Patents

Dispositif de réglage de la demande Download PDF

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Publication number
WO2018158794A1
WO2018158794A1 PCT/JP2017/007644 JP2017007644W WO2018158794A1 WO 2018158794 A1 WO2018158794 A1 WO 2018158794A1 JP 2017007644 W JP2017007644 W JP 2017007644W WO 2018158794 A1 WO2018158794 A1 WO 2018158794A1
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WO
WIPO (PCT)
Prior art keywords
demand
value
peak shift
demand response
consumer
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PCT/JP2017/007644
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English (en)
Japanese (ja)
Inventor
芳人 出先
正裕 佐野
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三菱電機株式会社
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Application filed by 三菱電機株式会社 filed Critical 三菱電機株式会社
Priority to JP2019502299A priority Critical patent/JP6703181B2/ja
Priority to PCT/JP2017/007644 priority patent/WO2018158794A1/fr
Publication of WO2018158794A1 publication Critical patent/WO2018158794A1/fr

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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • H02J3/144—Demand-response operation of the power transmission or distribution network
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/62—The condition being non-electrical, e.g. temperature
    • H02J2310/64—The condition being economic, e.g. tariff based load management
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
    • Y04S50/10—Energy trading, including energy flowing from end-user application to grid

Definitions

  • the present invention relates to a demand adjusting device that determines a requested amount of DR.
  • Patent Document 1 there is a possibility of calculating a cooperation level, which is information obtained by quantifying the level of cooperation awareness of consumers with respect to the DR command, and responding to the DR command based on the magnitude of the cooperation level.
  • a cooperation level which is information obtained by quantifying the level of cooperation awareness of consumers with respect to the DR command, and responding to the DR command based on the magnitude of the cooperation level.
  • the present invention has been made in view of the above problems, and an object thereof is to provide a demand adjusting device that suppresses concentration of new demand due to peak shift accompanying DR.
  • the demand adjustment apparatus includes an assigned value determination unit and a communication unit.
  • the assigned value determination unit assigns a demand response assigned value obtained by dividing a demand response command value, which is a demand adjustment request amount in the demand response, to at least a part of the customers constituting the consumer group.
  • the communication unit shifts the demand response allocation value and the demand adjustment period information in the demand response and the demand adjustment due to the execution of the demand response to the allocated customer who is assigned the demand response allocation value.
  • Demand response allocation information including peak shift destination information indicating the previous condition is transmitted.
  • the communication unit is configured to execute the demand response and the demand response allocation value and the information on the demand adjustment period in the demand response to the allocated customer who is the consumer to which the demand response allocation value is allocated.
  • Demand response allocation information including peak shift destination information indicating a peak shift destination condition for moving the demand adjustment is transmitted. Therefore, when each allocated consumer performs a peak shift along the peak shift destination information, occurrence of new demand concentration due to the peak shift is suppressed.
  • FIG. 1 is a block diagram illustrating a configuration of a demand adjustment device according to Embodiment 1.
  • FIG. It is a figure which shows the hardware constitutions of the demand adjustment apparatus which concerns on this invention.
  • 3 is a flowchart showing the operation of the demand adjustment apparatus according to the first embodiment.
  • 6 is a diagram illustrating DR command information according to Embodiment 1.
  • FIG. 6 is a diagram showing peak shift destination information according to Embodiment 1.
  • FIG. 6 is a diagram illustrating DR assignment information according to Embodiment 1.
  • FIG. 6 It is a block diagram which shows the structure of the demand adjustment apparatus which concerns on Embodiment 2.
  • FIG. It is a figure which shows DR application information of Embodiment 2.
  • FIG. It is a figure which shows the relationship between DR application value and DR performance value.
  • 6 is a diagram illustrating DR allocation information according to Embodiment 2.
  • FIG. FIG. 10 is a block diagram illustrating a configuration of a demand adjustment device according to a third embodiment. 10 is a flowchart showing the operation of the demand adjustment apparatus according to the third embodiment. It is a figure explaining the determination method of the initial value of an incentive unit price. It is a block diagram which shows the structure of the demand adjustment apparatus which concerns on Embodiment 4. 10 is a flowchart showing the operation of the demand adjustment apparatus according to the fourth embodiment. It is a figure which shows DR recruitment information of Embodiment 4.
  • FIG. 10 is a flowchart showing the operation of the demand adjustment apparatus according to the fifth embodiment.
  • an electric power company is assumed as an energy supplier, and a demand adjustment device installed in an aggregator will be described in a situation where a DR command related to electric power demand is issued from an electric power company to a consumer via an aggregator.
  • the energy supplier serves as both an electric power company and an aggregator, the effect of the present invention can be obtained if the demand adjustment device of the present invention is installed in the system of the energy supplier.
  • electric power is assumed as energy subject to demand adjustment by DR, electric power can be read as other energy such as cold / hot heat or gas.
  • DR energy demand is reduced or transferred by paying consideration to a customer.
  • the present invention also considers an increase in demand due to payment of consideration to be subject to DR.
  • a decrease related to demand may be increased, an increase decreased, and a peak may be read as off-peak.
  • FIG. 1 is a block diagram showing a configuration of a demand adjustment apparatus 101 according to Embodiment 1 of the present invention.
  • the demand adjusting apparatus 101 includes a DR command information receiving unit 10, a peak shift destination information receiving unit 11, an assigned value determining unit 12, an information storage unit 13, and a communication unit 14.
  • the DR command information receiving unit 10 receives DR command information from a power company that is a DR commander.
  • the DR command information includes, for example, information on a DR period that is a demand adjustment period in DR, a DR command value that is a demand adjustment request amount in DR, and an incentive unit price.
  • the peak shift destination information receiving unit 11 receives peak shift destination information from the electric power company.
  • peak shift increasing a demand equivalent to the amount of decrease before or after a certain amount of demand is reduced by the DR by the customer is called peak shift, and the time when peak shift should be performed, that is, peak shift Information indicating the previous condition is referred to as peak shift destination information.
  • the assigned value determination unit 12 divides the DR command value included in the DR command information into the DR assigned value, and assigns the DR assigned value to the customers constituting the consumer group of the electric power company.
  • the DR allocation value may be allocated to all the consumers in the consumer group, or may be allocated to only some of the consumers in the consumer group.
  • a consumer to which a DR assignment value is assigned is referred to as an assigned consumer.
  • the assigned value determination unit 12 determines the DR assigned value so that the sum of the DR assigned values for each assigned consumer becomes the DR command value.
  • DR command information received by the DR command information receiving unit 10 peak shift destination information received by the peak shift destination information receiving unit 11, and DR for each allocated consumer determined by the allocation value determining unit 12.
  • the assigned value is stored.
  • the communication unit 14 transmits and receives various information to and from the customer group.
  • FIG. 2 is a diagram illustrating a hardware configuration that implements the demand adjustment apparatus 101.
  • the demand adjustment apparatus 101 is realized by, for example, a PC (personal computer) 31, but may be realized by a computer system and is not limited to a PC.
  • the PC 31 includes a CPU (Central Processing Unit) 32, a storage device 33, an input device 34, and an input / output interface 35.
  • the CPU 32 performs various calculations.
  • the storage device 33 includes a hard disk device or a flash memory that stores information.
  • the input device 34 is configured by a keyboard or a mouse and performs input to the PC 31.
  • the input / output interface 35 is connected to an information network (not shown) for the demand adjusting device of the present invention to exchange information with the outside such as a customer and a power company.
  • the type of the information network is not particularly limited. For example, an Internet line using an optical fiber network or a telephone line may be used, or a dedicated network constructed by short-range wireless or the like may be used. Further, although it is assumed that a display device such as a liquid crystal display is connected to the PC 31, the display device is not shown in FIG.
  • the DR command information receiving unit 10, the peak shift destination information receiving unit 11, and the communication unit 14 are realized by an input / output interface 35.
  • the assigned value determination unit 12 is realized as a function of the CPU 32 by the CPU 32 executing a software program stored in the storage device 33.
  • the information storage unit 13 is realized by the storage device 33.
  • the demand adjustment device 101 functions when the energy supplier performs an operation such as inputting a command via the input device 34 on the software program executed by the CPU 32.
  • FIG. 3 is a flowchart showing the operation of the demand adjustment apparatus 101.
  • operation movement of the demand adjustment apparatus 101 is demonstrated in detail along the flow of FIG.
  • the DR command information receiving unit 10 receives DR command information from the electric power company (step S101).
  • the DR command information received by the DR command information receiving unit 10 is stored in the information storage unit 13.
  • FIG. 4 illustrates DR command information.
  • the DR command information illustrated in FIG. 4 includes information on a DR command ID, a DR start time, a DR duration, and a DR command value [kW].
  • DR command ID a DR command ID of 0003
  • the DR start time is 2015/4/19 12:00
  • the DR duration is 1 hour
  • the DR command The value is defined as 50 kW. Therefore, the demand adjustment apparatus 101 determines the DR allocation value for each allocated consumer so that the demand is reduced by 50 kW for 1 hour from 12:00 on 2015/4/19 for the DR command of ID: 0003.
  • the DR command information of the first embodiment includes at least the DR period and the DR command value.
  • the DR period is indicated by the DR start time and the DR duration, but may be indicated by the DR start time and the DR end time.
  • the unit of the DR command value is indicated by [kW], but may be indicated by [kWh] or [J].
  • one DR command information may include a plurality of DR commands.
  • the peak shift destination information receiving unit 11 receives peak shift destination information from the electric power company (step S102).
  • the peak shift destination information received by the peak shift destination information receiving unit 11 is stored in the information storage unit 13.
  • FIG. 5 shows an example of peak shift destination information.
  • the peak shift destination information shown in FIG. 5 includes information on the DR command ID, the peak shift prohibition period, and the peak shift designation period.
  • the peak shift prohibition period is a period during which peak shift is prohibited, and is determined because there is a concern that a new demand concentration may occur if the peak shift is performed during this period.
  • the peak shift designation period is a period designated as a period for peak shift, and is determined for the reason that the demand predicted in this period is sufficiently low.
  • the peak shift prohibition period and the peak shift designation period are shown as examples of the peak shift destination information. However, it is sufficient that at least one of both is included in the peak shift destination information.
  • the DR command with ID: 0003 has a DR period of 2015/4/19, 12:00 to 13:00, and a peak shift designation period of 2015/4/19, 00: 00-12: 00. Or it is 2015/4/19 13: 00-15: 00.
  • the peak shift designation period can be set either before or after the DR period.
  • the peak shift destination information is received after the reception of the DR command information.
  • the reception timing of both may be the same or the same.
  • the allocation value determination unit 12 determines a DR allocation value for each customer based on the DR command information and the peak shift destination information (step S103).
  • the DR allocation value determined by the allocation value determination unit 12 is stored in the information storage unit 13.
  • the demand scale or demand curve varies from customer to customer. Therefore, in order to increase the DR execution probability of the consumer with respect to the DR command, the DR allocation value to each customer needs to be appropriately determined according to the DR command time or the peak shift destination time.
  • a DR command value received from an electric power company is apportioned according to the average demand level of each customer in the DR period, or in a DR period that has been pre-applied by the consumer.
  • this is a method of preferentially assigning consumers who are likely to perform peak shifts according to the conditions defined by the peak shift destination information. For example, when the peak shift designated information is included in the peak shift destination information, a customer whose demand forecast value, which is a forecast value of the demand amount in the peak shift designated period, is lower than the average demand is preferentially assigned to the consumer.
  • the DR allocation value DR i, t [kW] to the customer i by this method is the average demand D average, i, t [kW], the demand forecast value D predict, i, t [kW], from the power company
  • the received DR command value is DR total, t [kW]
  • I is the total number of customers whose demand forecast value in the peak shift designated period is lower than the average demand
  • t is the time of the DR period
  • t2 is the time of the peak shift designated period.
  • FIG. 6 illustrates DR allocation information.
  • the DR allocation information illustrated in FIG. 6 includes information on a DR command ID, a DR start time, a DR duration [minutes], a DR allocation value [kW], and a peak shift designation period.
  • the DR command of ID: a0002 the DR start time is 2015/4/17 12:00
  • the DR duration is 30 minutes
  • the DR allocation value is 10 kW
  • the peak shift designation period is 2015/4/18/0: 00 -24: 00.
  • the customer who has received this DR allocation information decreases the demand by 10 [kW] for 30 minutes from 12:00 on 2015/4/17, and 0: 2015/4/18 when the peak shift occurs. It is necessary to carry out at 00-24: 00.
  • the DR allocation information from the communication unit 14 to each consumer includes at least the DR period, the DR allocation value, and the peak shift destination information.
  • the assigned value determination unit 12 sends a demand adjustment request amount in DR to at least some of the consumers constituting the consumer group.
  • a DR assigned value obtained by dividing the DR command value is assigned.
  • the communication unit 14 moves a DR allocation value, a DR period that is a demand adjustment period in the DR, and a demand adjustment due to the execution of the DR to an allocated consumer that is a consumer to which the DR allocation value is allocated.
  • DR allocation information including peak shift destination information indicating a shift destination condition is transmitted.
  • the demand adjustment apparatus 101 performs DR allocation without asking each customer about the intention of performing DR.
  • the second embodiment first, peak shift destination information is presented and DR recruitment is performed, and DR allocation is performed on the applied consumer, thereby performing peak shift along the peak shift destination information. Increase the possibility.
  • FIG. 7 is a block diagram showing the configuration of the demand adjustment apparatus 102 according to Embodiment 2 of the present invention.
  • the demand adjustment apparatus 102 includes an incentive unit price determination unit 15, a DR actual value estimation unit 16, and a DR application value determination unit 17.
  • the demand adjustment apparatus 102 includes an incentive unit price determination unit 15, a DR actual value estimation unit 16, and a DR application value determination unit 17.
  • a part of the demand adjustment apparatus 102 that is different from the demand adjustment apparatus 101 will be described, and a description overlapping with the demand adjustment apparatus 101 will be omitted as appropriate.
  • the incentive unit price determination unit 15 determines the DR incentive unit price. In this specification, it is assumed that cash exchange through an electricity bill is an incentive, but other means such as exchange of points that can be used to purchase a specific product may be used as an incentive.
  • the DR performance value estimation unit 16 estimates a DR performance value that is a demand adjustment amount of each application customer in the DR from a demand performance value that is an actual demand amount of each application customer who applied for the DR.
  • the DR application value determination unit 17 predicts the DR actual value expected for the current DR application value as a DR response value from the relationship between the DR application value and the DR actual value for each customer's past DR, It is determined whether the DR response value of the entire customer satisfies the DR command value.
  • the hardware configuration for realizing the demand adjustment apparatus 102 is as shown in FIG.
  • the DR application value determination unit 17, the incentive unit price determination unit 15, and the DR actual value estimation unit 16 are realized by a software program stored in the storage device 33 and executed by the CPU 32, and other configurations are as follows. This is as described in the previous embodiment.
  • FIG. 8 is a flowchart showing the operation of the demand adjustment apparatus 102 according to the second embodiment. Hereinafter, operation
  • step S101 and step S102 of FIG. 3 described in the first embodiment are the same as step S101 and step S102 of FIG. 3 described in the first embodiment, and thus description thereof is omitted.
  • the incentive unit price determination unit 15 determines an initial value of the DR incentive unit price.
  • a method for determining the initial value of the incentive unit price there is a method of setting a value that is considered to be sufficiently small, for example, about 10% of the unit price of electric power in anticipation of the update of the incentive unit price described later.
  • the initial value of the incentive unit price determined by the incentive unit price determination unit 15 is stored in the information storage unit 13.
  • the communication unit 14 acquires the DR command information, the peak shift destination information, and the initial value of the incentive unit price from the information storage unit 13, and transmits these information to the consumer group as DR recruitment information (step S204). . In this way, the first DR recruitment for the consumer group is performed.
  • FIG. 9 is a diagram illustrating DR recruitment information.
  • the DR recruitment information shown in FIG. 9 includes a DR command ID, a DR start time, a DR duration, an incentive unit price [ ⁇ / kW], and a peak shift designation period.
  • the aggregator decreases the demand for 30 minutes from 12:00 on 2015/4/17 to the customer group to be contracted, and 0: 2015/4/18 when performing a peak shift.
  • a DR request to be implemented between 00 and 24:00 is recruited at an incentive unit price of 15 [ ⁇ / kW].
  • the DR recruitment information includes at least the DR period, the incentive unit price, and the peak shift destination information.
  • the application customer who is the customer who applies for the DR among the customer group that has received the DR recruitment information transmits the DR application information to the communication unit 14.
  • the communication unit 14 receives the DR application information from the application customer (step S205)
  • the communication unit 14 stores it in the information storage unit 13.
  • FIG. 10 shows an example of DR application information.
  • the DR application information shown in FIG. 10 includes a DR command ID, a DR start time, a DR duration, an incentive unit price [ ⁇ / kW], a peak shift designation period, a DR application value [kW] that is a demand adjustment application amount, and a customer.
  • DR application information is shown when the customer ID: cst0001 includes the ID information and applies for a DR implementation of 50 [kW] with respect to the DR recruitment information of FIG.
  • the DR application information includes at least the DR period, the incentive unit price, the DR application value, and the peak shift destination information.
  • the DR application value determination unit 17 predicts the DR response value of each application customer (step S206). Each application consumer does not necessarily perform DR according to the DR application value. Therefore, the DR application value determination unit 17 predicts the demand adjustment amount of the application customer expected from the DR application value as the DR response value.
  • the DR application value determination unit 17 acquires the DR application value and the DR actual value in the past DR of each application customer from the information storage unit 13, and calculates the relationship therebetween.
  • the DR actual value in the past DR of each customer is already calculated by the DR actual value estimating unit 16 and stored in the information storage unit 13.
  • the actual DR value is calculated, for example, as a value obtained by subtracting the actual demand value at the time of DR execution from the estimated demand value when DR is not performed.
  • the demand estimation value when the DR is not performed is calculated by, for example, the “High X of Y” method.
  • the average value of demand on day X when demand is high, out of the days excluding the specific date such as other DR implementation dates or holidays from the period before Y days from the DR implementation date, does not implement DR.
  • This is the estimated demand value.
  • the above X and Y are arbitrary natural numbers. Note that the “High X of Y” method is an example of a method for calculating a demand estimation value when DR is not performed, and other methods may be used.
  • FIG. 11 is a diagram showing a relationship between a DR application value and a DR actual value of a certain consumer.
  • the horizontal axis indicates the DR application value [kW]
  • the vertical axis indicates the DR actual value [kW].
  • the relationship between the DR application value and the DR actual value in five DRs conducted by the customer in the past is circled. It is plotted with a mark. Then, a function indicating the relationship between the DR application value and the DR actual value is obtained from these five DR results by, for example, the least square method. From the function obtained in this way, the DR application value determination unit 17 sets the DR actual value for the current DR application value of the application consumer as the DR response value as shown in FIG. In this way, the DR application value determination unit 17 functions as a DR response value prediction unit.
  • the DR application value determination unit 17 determines whether or not the application customer can cover the DR command value (step S207). Specifically, the DR application value determination unit 17 adds up the DR response values for all the application customers, and determines whether the total value is equal to or greater than the DR command value.
  • the incentive unit price determination unit 15 updates the incentive unit price for DR re-recruitment (step S209).
  • a method for updating the incentive unit price for example, there is a method of adding a preset value to the current incentive unit price.
  • the incentive unit price updated by the incentive unit price determination unit 15 is stored in the information storage unit 13. Then, it returns to step S204 and the communication part 14 transmits DR recruitment information including the information of the updated incentive unit price to a consumer (step S204). In this way, DR re-recruitment is performed.
  • the DR application value determination unit 17 determines that the DR command value can be covered by the application customer. Then, the allocation value determination unit 12 determines a DR allocation value for the application consumer (step S209).
  • the allocation value determination unit 12 sets the DR application value as the DR allocation value.
  • the allocation value determination unit 12 makes the total value of the DR allocation values for all the allocation consumers equal to the DR command value. Adjust DR allocation value. For example, the allocation value determination unit 12 allocates the DR application value of the application customer as the DR allocation value in the order of arrival of the DR application, and when the total of the DR allocation values reaches the DR command value, Do not assign DR.
  • the allocation value determination unit 12 may determine the DR allocation value by uniformly subtracting the excess of the total value of the DR application values for all the application customers from the DR command value from the DR application value.
  • the DR allocation value for each allocated consumer determined in this way is stored in the information storage unit 13.
  • FIG. 12 illustrates DR allocation information.
  • the DR allocation information shown in FIG. 12 includes a DR command ID, a DR start time, a DR duration, an incentive unit price [ ⁇ / kW], a peak shift designation period, a DR allocation value [kW], and a customer ID.
  • FIG. 11 shows DR allocation information for a consumer who has transmitted the DR application information shown in FIG. This DR allocation information is 50 [kW] demand adjustment from 12:00 on 2015/4/17 for 30 minutes, and when performing peak shift, it is from 4:00 to 24:00 on 2015/4/18. It is instructed to the consumer of ID: cst0001 to be performed in between.
  • the DR allocation information to each allocated customer includes at least the DR period, the DR allocation value, the incentive unit price, and the peak shift destination information.
  • the communication unit 14 transmits demand response recruitment information including peak shift destination information to the consumer group, and the demand response among the consumer group.
  • Demand response application information including a demand response application value which is a demand adjustment application amount in demand response, is received from an application customer who is an application customer, and the allocation value determination unit 12 allocates demand from the application consumers. Decide on a house.
  • the demand adjusting apparatus 102 since the peak shift destination information is presented at the stage of DR recruitment for the consumer group, DR application by a consumer who cannot perform a peak shift along the peak shift destination information is suppressed. Therefore, it is possible to increase the possibility that the allocated consumer will peak shift along the peak shift destination information. As a result, it is possible to suppress the occurrence of new demand concentration due to the peak shift.
  • the demand adjustment apparatus 102 includes an incentive unit price determination unit 15 that updates the incentive unit price in the demand response based on the demand response application value and the demand response command value. Prepare.
  • the demand response solicitation information includes incentive unit price information. Therefore, according to the demand adjusting apparatus 102, when the DR command value cannot be covered by the application customer, the incentive unit price is increased and the recruitment is performed again. Therefore, the number of application customers can be increased so as to cover the DR command value.
  • the demand adjustment apparatus 102 includes a demand response actual value estimation unit 16 and a demand response application value determination unit 17 that is a demand response response value prediction unit.
  • the demand response actual value estimation part 16 estimates the demand response actual value which is the demand adjustment amount of each application consumer in a demand response from the demand actual value which is an actual demand amount of each application consumer.
  • the demand application value determination part 17 is based on the relationship between the demand response application value and the demand response actual value in the past demand response of each application consumer, and the demand response application value in the current demand response. The demand adjustment amount of each application customer in the demand response is predicted as a demand response response value.
  • the incentive unit price determination unit 15 updates the incentive unit price based on the comparison result between the demand response response value of each application consumer and the demand response command value. Therefore, according to the demand adjustment apparatus 102, it is possible to accurately determine whether or not the DR command value can be covered by the application consumer even when the DR actual value of each application consumer is different from the DR application value. it can. Then, according to the demand adjustment device 102, when the DR command value cannot be covered by the application customer, the number of application customers can be increased so as to cover the DR command value by increasing the incentive unit price and re-recruiting. it can.
  • Embodiment 3 The demand adjustment apparatus 102 according to the second embodiment repeats the DR recruitment while updating the incentive unit price until the sum of the DR response values of the respective application consumers reaches the DR command value.
  • FIG. 13 is a block diagram showing the configuration of the demand adjustment apparatus 103 according to Embodiment 3 of the present invention.
  • the demand adjustment apparatus 103 includes an incentive function calculation unit 18 in addition to the configuration of the demand adjustment apparatus 102 according to the second embodiment.
  • the configuration of the demand adjustment device 103 other than the incentive function calculation unit 18 is the same as that of the demand adjustment device 102.
  • the incentive function calculation unit 18 calculates an incentive function representing the relationship between the incentive unit price and the DR application value for each peak shift designated period of the peak shift destination information received from the power company.
  • the peak shift designated period and the peak shift prohibited period are shown as examples of the peak shift destination information.
  • the peak shift destination information always includes the peak shift designated period. Shall be included.
  • the hardware configuration for realizing the demand adjustment apparatus 103 is as shown in FIG.
  • the incentive function calculation unit 18 in the demand adjustment device 103 is realized by a software program stored in the storage device 33 and executed by the CPU 32, and other configurations are as described in the previous embodiment.
  • FIG. 14 is a flowchart showing the operation of the demand adjustment apparatus 103 according to the third embodiment.
  • operation movement of the demand adjustment apparatus 103 is demonstrated along the flow of FIG. Step S301 and step S302 are the same as step S101 and step S102 of FIG. 3 described in the first embodiment, and thus description thereof is omitted.
  • the incentive function calculation unit 18 calculates an incentive function for each peak shift destination designation period.
  • the incentive function is a function that associates an incentive unit price at the time of DR recruitment with the DR application value of the entire application consumer, and is a function that can obtain an incentive unit price for an arbitrary DR application value.
  • the information storage unit 13 stores the incentive unit price in the past DR recruitment, the DR application value of the entire application consumer, and the information on the peak shift designated period, and the incentive function calculation unit 18 uses the information to make an incentive. Calculate the function.
  • the incentive function calculation method will be described with reference to FIG.
  • the horizontal axis of FIG. 15 indicates the incentive unit price [ ⁇ / kW], and the vertical axis indicates the DR application value [kW].
  • the relationship between the DR application value of the entire application consumer in the past DR recruitment and the incentive unit price is shown. Plotted by peak shift specified period.
  • the white circle indicates that the peak shift designation period is 15: 00-15: 30, the white triangle indicates that the peak shift designation period is 13: 00-13: 30, and the white square indicates that the peak shift designation period is 10: 30-11: 0 Show.
  • the incentive function calculation unit 18 calculates an incentive function from the data relating to the past DR recruitment using a least square method or the like for each peak shift designated period. Since the ease of peak shift varies depending on the peak shift designated period, the incentive function also varies.
  • the incentive unit price determination unit 15 calculates an incentive unit price when the DR command value is a DR application value from an incentive function, and determines the calculated value as an initial value of the incentive unit price. (Step S304).
  • the initial value of the incentive unit price determined by the incentive unit price determination unit 15 is stored in the information storage unit 13.
  • steps S305 to S311 are the same as steps S204 to S210 of the second embodiment shown in FIG.
  • the incentive unit price determination unit 15 determines whether the incentive unit price and the demand response application value for each peak shift destination time in the past DR. Since the initial value of the incentive unit price is appropriately determined based on the relationship, the above problem is solved.
  • Embodiment 4 The demand adjusting apparatus according to the first to third embodiments presents the peak shift destination information received from the power company to the consumer group, thereby performing a peak shift along the peak shift destination information to the consumer who requests DR. I encourage you to.
  • DR allocation is performed so that generation of a new demand peak due to peak shift does not occur as much as possible even when peak shift destination information cannot be obtained from the power company.
  • FIG. 16 is a block diagram showing a configuration of the demand adjustment apparatus 104 according to Embodiment 4 of the present invention.
  • the demand adjusting device 104 deletes the peak shift destination information receiving unit 11 from the demand adjusting device 102 according to the second embodiment shown in FIG. 7, and the peak shift execution rate calculating unit 19, the peak shift predicted value calculating unit 20, and the demand In this configuration, a concentration determination unit 21 is added.
  • the peak shift execution rate calculation unit 19 calculates the peak shift execution rate for each time zone for each customer who applied for DR based on the past actual demand value.
  • the peak shift predicted value calculation unit 20 calculates the demand fluctuation amount due to the peak shift of the entire allocated consumer as a peak shift predicted value for each time from the peak shift implementation ratio of each allocated consumer.
  • the demand concentration determination unit 21 determines whether or not a new concentration of demand due to the peak shift occurs when DR allocation is performed to the allocated consumer based on the peak shift predicted value.
  • the hardware configuration for realizing the demand adjustment device 104 is as shown in FIG.
  • the peak shift execution ratio calculation unit 19, the peak shift predicted value calculation unit 20, and the demand concentration determination unit 21 of the demand adjustment device 104 are realized by a software program stored in the storage device 33 and executed by the CPU 32, and other configurations are as follows. This is as described in the previous embodiment.
  • FIG. 17 is a flowchart showing the operation of the demand adjustment device 104. Hereinafter, operation
  • the DR command information receiving unit 10 receives DR command information from the electric power company (step S401). This step is the same as step S201 in FIG.
  • the DR command information received by the DR command information receiving unit 10 is stored in the information storage unit 13. Unlike Embodiment 2, the demand adjustment apparatus 104 does not receive peak shift destination information from the power company.
  • the incentive unit price determination unit 15 determines an initial value of the incentive unit price (step S402). Since this step is the same as step S203 in FIG. 8, a detailed description of the method for determining the initial value is omitted.
  • the initial value of the incentive unit price determined by the incentive unit price determination unit 15 is stored in the information storage unit 13.
  • FIG. 18 is a diagram illustrating DR recruitment information.
  • the DR recruitment information shown in FIG. 18 includes information on DR command ID, DR start time, DR duration, and incentive unit price [ ⁇ / kW]. It shows that demand adjustment for 30 minutes from 00 is recruited at 15 [ ⁇ / kW]. Unlike the DR recruitment information of the second embodiment shown in FIG. 9, this DR recruitment information does not include a peak shift designation period as peak shift destination information.
  • the DR recruitment information in the third embodiment includes at least information on the DR period and the incentive unit price.
  • Each customer applying for DR transmits DR application information to the communication unit 14.
  • the communication unit 14 receives the DR application information from the application customer (step S404), the communication unit 14 stores it in the information storage unit 13.
  • FIG. 19 illustrates DR application information.
  • the DR application information shown in FIG. 19 includes information on DR command ID, DR start time, DR duration [minutes], incentive unit price [ ⁇ / kW], DR application value [kW], and customer ID. This shows that the customer with ID: cst0001 applies for DR implementation of 50 [kW] for the DR recruitment information shown in FIG. Unlike the DR application information of the second embodiment shown in FIG. 10, this DR application information does not include a peak shift designation period as peak shift destination information.
  • the DR application information according to the fourth embodiment includes at least information about the DR period, the incentive unit price, and the DR application value.
  • the DR application value determination unit 17 predicts the DR response value of each customer who applied for DR (step S405), and determines whether or not the application customer can cover the DR command value (step S406).
  • the incentive unit price determination unit 15 updates the incentive unit price (step S412) and includes information on the incentive unit price updated from the communication unit 14 DR recruitment information is transmitted (step S403). In this way, DR re-recruitment is performed.
  • the allocation value determination unit 12 determines an allocation customer who requests DR from the application customers, and sends the DR to the allocation customer.
  • An assigned value is determined (step S407). Since these steps S405 to S407 and S412 are the same as steps S206 to S208 and S209 of FIG. 8, detailed description thereof will be omitted.
  • the peak shift execution rate calculation unit 19 predicts the peak shift execution rate for each allocated consumer by time zone (step S408).
  • the peak shift execution ratio calculation unit 19 acquires a demand actual value that is an actual demand amount of each allocated consumer from the information storage unit 13, and calculates a demand estimation value when DR is not performed from the demand actual value. .
  • the demand estimation value when the DR is not performed is calculated by, for example, the High X of Y method, which is as described in the explanation of the operation of the DR actual value estimation unit 16 according to the second embodiment.
  • the peak shift execution ratio calculation unit 19 compares the demand estimation value when the DR is not performed with the actual demand value when the DR is performed in a time zone different from the DR period, and the difference between the two values. Is calculated as a demand fluctuation actual value.
  • the peak shift execution ratio calculation unit 19 determines whether or not the peak shift is performed based on the actual demand fluctuation value. For example, the peak shift execution rate calculation unit 19 determines that the peak shift has been performed in a time zone in which the actual demand fluctuation value is equal to or greater than a predetermined threshold, and uses the time zone as the peak shift destination time and the demand fluctuation at the time.
  • the actual value is the peak shift actual value.
  • the peak shift execution rate calculation unit 19 arranges the number of peak shift executions for each start time of the DR period and for each peak shift destination period. Then, the peak shift execution rate calculation unit 19 divides the number of peak shift executions at each peak shift destination time by the total value of the peak shift execution times at all peak shift destination times, thereby calculating the peak of each peak shift destination period. The shift execution ratio is calculated.
  • FIG. 20 shows a peak shift execution rate Q 12, t [%] for each peak shift destination time for a DR command with a start time of 12:00 for a certain consumer.
  • the probability Q 12,11 [%] that the peak shift is performed from 11:00 to 12:00 on the next day is 50 [%], which is higher than other time zones.
  • the probability Q 12,15 [%] that the peak shift is performed from 15:00 to 16:00 on the next day is 5 [%], which is lower than other time zones.
  • the peak shift predicted value calculation unit 20 calculates an expected value of the peak shift amount for each peak shift destination time (step S409). Assuming that the peak shift amount is about the same as the actual DR value, the peak shift amount expected value for each period is calculated by multiplying the actual peak shift rate by the actual DR value. In the example of FIG. 20, assuming that the DR actual value is P dr12 [kW], the expected value P peak, t of the peak shift amount at the peak shift destination time t is expressed by the following equation.
  • the peak shift predicted value calculation unit 20 sums the expected value of the peak shift amount for all customers who have applied for DR, and calculates the peak shift predicted value for each time zone (step S410).
  • the demand concentration determination unit 21 determines whether or not a new concentration of demand occurs due to the peak shift (step S411). Specifically, the demand concentration determination unit 21 compares the peak predicted value for each time zone with a predetermined threshold value, and a new demand concentration occurs in a time zone when the peak predicted value is equal to or greater than the threshold value. It is determined that a new demand concentration does not occur in the time zone in which the predicted value is less than the threshold value.
  • step S412 When the demand concentration determination unit 21 determines that a new demand concentration occurs due to the peak shift, the incentive unit price determination unit 15 updates the incentive unit price (step S412), and the process returns to step S403. Since step S412 is the same as step S208 in FIG. 8, the description of the incentive unit price update method is omitted.
  • Step S412 and Steps S403 to S410 are repeated until there is no peak shift predicted value equal to or greater than the threshold value in Step S411.
  • step S403 DR recruitment information including the incentive unit price updated by the communication unit 14 is transmitted to the customer group, and DR re-recruitment is performed.
  • step S407 the allocation value determination unit 12 reconfigures the allocated customers based on the application result for the DR re-recruitment, and determines the DR allocation value for each customer.
  • the allocation value determination unit 12 determines that the peak shift execution ratio in the time zone in which the peak shift prediction value is equal to or greater than the threshold value in step S410 is greater than the existing allocation customers among the application customers who respond to the DR re-recruitment. Reallocate the allocated customer by selecting a low customer and replacing the existing allocated customer. As described above, the demand adjustment device 104 corrects the configuration of the allocated consumers based on the application result of the DR re-recruitment so that the demand concentration due to the peak shift does not occur.
  • step S411 if the peak shift predicted value is less than the threshold value in any time zone, it is considered that demand concentration due to peak shift does not occur. Therefore, the communication unit 14 transmits the DR command information according to the current DR allocation and incentive unit price (step S413). Since step S413 is the same as step S210 of FIG. 8, detailed description of this step is omitted.
  • the demand adjustment apparatus 104 includes the allocation value determination unit 12, the communication unit 14, the incentive unit price determination unit 15, the peak shift execution rate calculation unit 19, and the peak shift predicted value.
  • a calculation unit 20 and a demand concentration determination unit 21 are provided.
  • the assigned value determination unit 12 assigns a demand response assigned value obtained by dividing a demand response command value, which is a demand adjustment request amount in the demand response, to at least some of the consumers that constitute the consumer group.
  • the communication unit 14 transmits DR allocation information including the demand response allocation value and the DR period information in the demand response to the allocation consumer.
  • the incentive unit price determination unit 15 determines an incentive unit price in the demand response.
  • the peak shift execution rate calculation unit 19 calculates a peak shift execution rate, which is a shift of demand adjustment due to the execution of demand response of each allocated consumer, as a demand record that is an actual demand amount of each allocated customer according to time. Calculate from the value. Also, the peak shift predicted value calculation unit 20 calculates the demand fluctuation amount due to the peak shift of the entire allocated consumer as the peak shift predicted value for each time from the peak shift execution ratio of each allocated consumer. Further, the demand concentration determination unit 21 determines whether or not a new concentration of demand occurs based on the peak shift predicted value. Moreover, the allocation value determination part 12 determines an allocation consumer so that the demand concentration determination part 21 determines with no new demand concentration occurring.
  • the demand adjustment device 104 it is predicted whether or not new demand concentration will occur based on the peak shift prediction value, and the allocation consumer is determined accordingly, so that the allocation consumer is given the peak shift destination.
  • the occurrence of new demand concentration can be suppressed without presenting information. Therefore, even when the electric power company does not provide the peak shift destination information, it is possible to perform DR assignment so that a new demand concentration due to the peak shift does not occur.
  • the communication unit 14 transmits demand response solicitation information including incentive unit price information to the consumer group, and the application consumer who is a consumer who applies for demand response in the consumer group.
  • Demand response application information including a demand response application value that is a demand adjustment application amount in the demand response is received.
  • the allocation value determination part 12 determines an allocation consumer from application consumers.
  • the incentive unit price determination unit 15 updates the incentive unit price when the demand concentration determination unit determines that a new concentration of demand occurs.
  • the communication unit 14 transmits demand response solicitation information including information on the updated incentive unit price to the customer group. In this way, the demand adjustment device 104 updates the incentive to add application customers and lowers the peak shift predicted value when a new demand concentration due to the peak shift is expected to occur. By reconstructing the house, it is possible to suppress the concentration of new demand due to the peak shift.
  • Embodiment 5 The demand adjusting apparatus according to the first to third embodiments induces a peak shift destination accompanying DR execution of the allocated consumer by presenting the peak shift destination information together with the DR allocation information to the allocated consumer, resulting from the peak shift. Suppress new demand concentration.
  • the peak shift destination information is not compulsory for the allocated customers, the allocated customers will not perform a peak shift along the peak shift destination information, resulting in a new concentration of demand due to the peak shift. It is assumed that Therefore, in the fifth embodiment, the result of the peak shift of the consumer is reflected in an incentive, thereby increasing the possibility that the consumer will perform the peak shift in accordance with the peak shift destination information, and the new demand caused by the peak shift. Make the concentration control effect even higher.
  • FIG. 21 is a block diagram showing the configuration of the demand adjustment apparatus 105 according to Embodiment 5 of the present invention.
  • the demand adjustment apparatus 105 includes a peak shift actual value estimation unit 22 and a payment incentive determination unit 23 in addition to the configuration of the demand adjustment apparatus 102 according to the second embodiment.
  • the peak shift actual value estimator 22 calculates the peak shift actual value from the demand actual value that is the demand amount when the allocated consumer performs the demand response, during the period that matches the peak shift destination condition. Estimate as
  • the payment incentive determination unit 23 calculates a payment incentive that is an incentive to pay to the allocated customer based on the DR actual value and the peak shift actual value.
  • the hardware configuration for realizing the demand adjustment device 105 is as shown in FIG.
  • the peak shift actual value estimation unit 22 and the payment incentive determination unit 23 are realized by a software program stored in the storage device 33 and executed by the CPU 32, and other configurations are described in the previous embodiment. Just as you did.
  • FIG. 22 is a flowchart showing the operation of the demand adjustment apparatus 105.
  • steps S501 to S510 are the same as steps S201 to S210 of FIG.
  • the communication unit 14 receives the actual demand value from the customer as needed and stores it in the information storage unit 13.
  • the DR actual value estimation unit 16 calculates the DR actual value based on the actual demand value (step S511).
  • the method for calculating the DR actual value is as described in the second embodiment.
  • the peak shift actual value estimation unit 22 calculates the peak shift actual value based on the actual demand value (step S512). For example, the peak shift actual value estimation unit 22 compares the demand estimated value when DR is not performed with the current demand actual value when DR is performed outside the DR period, and calculates the difference between the two as a peak shift actual value. For example, when the peak shift designated period is determined in the peak shift destination information, the peak shift actual value estimation unit 22 calculates the difference between the demand estimated value and the demand actual value in the peak shift designated period as the peak shift actual value. Also good.
  • the peak shift actual value estimation part 22 carries out the peak shift of the difference of the demand estimated value and demand actual value in periods other than a peak shift prohibition period, when the peak shift prohibition period is defined in the peak shift destination information. It may be calculated as an actual value.
  • the calculation method of the demand estimated value when not implementing DR is as having described in Embodiment 2.
  • the payment incentive determination unit 23 calculates a payment incentive to each allocated customer (step S513).
  • the payment incentive I pay is calculated by the following calculation formula based on the DR actual value P dr and the peak shift actual value P shift .
  • I rate is an incentive unit price
  • ⁇ is a weighting coefficient.
  • the payment incentive is calculated according to the DR actual value, but in this embodiment, the payment incentive is calculated by the following formula based on both the DR actual value and the peak shift actual value. The By determining the payment incentive in this way, the allocation consumer is urged to perform a peak shift along the peak shift destination information, so that it is possible to effectively suppress the concentration of new power due to the peak shift. .
  • the payment incentive may be determined in consideration of other factors.
  • the demand adjustment device 105 includes the peak shift actual value estimation unit 22 and the payment incentive determination unit in addition to the configuration of the demand adjustment device 102 according to the second embodiment. 23.
  • the peak shift actual value estimation unit 22 estimates, as a peak shift actual value, a peak-shifted demand amount during a period that matches the conditions of the peak shift destination from the actual demand value that is the actual demand amount of each allocated consumer.
  • the payment incentive determination unit 23 determines a payment incentive that is an incentive to pay to the allocated customer based on the demand response actual value and the peak shift actual value. Therefore, since the consumer is urged to perform the peak shift according to the peak shift destination information, it is possible to effectively suppress the generation of new demand due to the peak shift.
  • the demand adjustment device 105 according to the fifth embodiment is described as a configuration in which the peak shift actual value estimation unit 22 and the payment incentive determination unit 23 are added to the demand adjustment device 102 according to the second embodiment. did.
  • the feature of the present embodiment in which the payment incentive is determined based on the DR actual value and the peak shift actual value can also be applied to the first, third, and fourth embodiments.
  • the demand adjustment device obtained by applying the features of the present embodiment to the first embodiment includes the DR actual value estimation unit 16, the peak shift actual value estimation unit in addition to the demand adjustment device 101 according to the first embodiment. 22, the payment incentive determining unit 23 is provided.
  • the DR performance value estimation unit 16 estimates the demand response performance value of the allocated consumer, not the application consumer.

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

La présente invention concerne un dispositif de réglage de demande pour supprimer la concentration de nouvelle demande due à des décalages de pic accompagnant une réponse à la demande (DR). Le dispositif de réglage de demande selon la présente invention comprend une unité de détermination de valeur d'attribution 12 et une unité de communication 14. L'unité de détermination de valeur d'attribution 12 attribue une valeur d'attribution de réponse à la demande (DR), pour laquelle une valeur de commande DR, qui est la quantité de demandes de réglage de demande dans une DR, est divisée, à au moins certains des consommateurs de demande constituant une partie d'un groupe de consommateurs à la demande. L'unité de communication 14 transmet, à un consommateur de demande d'attribution, qui est un consommateur à la demande auquel la valeur d'attribution DR est attribuée, des information d'attribution de DR qui comprennent la valeur d'attribution DR et des informations d'une période de réglage de demande pour la DR, ainsi que des informations de destination de décalage de pic indiquant un critère de destination de décalage de pic pour déplacer la partie de réglage de demande par mise en œuvre de la DR.
PCT/JP2017/007644 2017-02-28 2017-02-28 Dispositif de réglage de la demande WO2018158794A1 (fr)

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WO2020158592A1 (fr) * 2019-01-30 2020-08-06 京セラ株式会社 Procédé d'alimentation électrique et dispositif de gestion d'énergie
JP2021026299A (ja) * 2019-07-31 2021-02-22 三菱電機株式会社 需要調整装置
JP2021129345A (ja) * 2020-02-12 2021-09-02 日新電機株式会社 需給制御システム

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JP2002135976A (ja) * 2000-10-26 2002-05-10 Mitsubishi Electric Corp 負荷平準化システム及び負荷平準化方法
JP2013046451A (ja) * 2011-08-23 2013-03-04 Hitachi Ltd 電力系統の負荷平準化システム

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JP2002135976A (ja) * 2000-10-26 2002-05-10 Mitsubishi Electric Corp 負荷平準化システム及び負荷平準化方法
JP2013046451A (ja) * 2011-08-23 2013-03-04 Hitachi Ltd 電力系統の負荷平準化システム

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020158592A1 (fr) * 2019-01-30 2020-08-06 京セラ株式会社 Procédé d'alimentation électrique et dispositif de gestion d'énergie
JPWO2020158592A1 (ja) * 2019-01-30 2021-11-25 京セラ株式会社 電力供給方法及び電力管理装置
JP7178429B2 (ja) 2019-01-30 2022-11-25 京セラ株式会社 電力供給方法及び電力管理装置
JP2021026299A (ja) * 2019-07-31 2021-02-22 三菱電機株式会社 需要調整装置
JP2021129345A (ja) * 2020-02-12 2021-09-02 日新電機株式会社 需給制御システム
JP7417072B2 (ja) 2020-02-12 2024-01-18 日新電機株式会社 需給制御システム

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