Demand Response System

Abstract

To provide a demand response system capable of reducing factors causing errors in predicting available capacity of a battery for traveling of an electric automobile, and of improving the reliability of demand response.SOLUTION: A demand response system 1 comprises a participation reservation acquisition unit 21, an actual participation result recording unit 22, a participation certainty degree calculation unit 23, and a resource estimation unit 24. The participation reservation acquisition unit 21 acquires a participation reservation Y2 to participate in a demand response at a participation requirement date and time T3. The actual participation result recording unit 22 records actual participation results S in the demand response at the participation requirement date and time for each service user N. The participation certainty degree calculation unit 23 calculates a degree of participation certainty K indicating certainty of the participation reservation Y2 on the basis of a ratio of the actual participation results S to the participation reservations Y2 for each service user N. The resource estimation unit 24 reflects the degree of participation certainty K in the participation reservation Y2 for each service user N to estimate a power resource R to be utilized for the demand response.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to a demand response system. [Background technology]

[0002] With the spread of renewable energy such as solar power generation, it has become more difficult to control the amount of electricity supply. In parallel with this spread, the spread of distributed energy resources on the demand side that use electricity such as storage batteries, electric vehicles, and fuel cells is also progressing. Accordingly, in addition to the supply of electricity from conventional large-scale power plants, a mechanism is being established to utilize energy resources on the demand side to adjust the balance of electricity supply and demand.

[0003] One example of this mechanism is the supply of electricity according to the consumer's equipment control by a virtual power plant (VPP). In addition, as demand response (DR), in response to a request from the power company to the consumer, the consumer's electricity demand pattern is changed, or electricity is supplied from the consumer to the power grid. In particular, efforts are being made to utilize the electricity from storage batteries, electric vehicles, etc. owned or used by the consumer.

[0004] For example, Patent Document 1 describes a control device that controls electric power equipment that is the target of operation in a VPP system. This control device is configured to correct information indicating the charge / discharge performance of the electric power equipment based on environmental information, and to control the charge / discharge operation of the electric power equipment according to an operation plan based on the information indicating the corrected charge / discharge performance and information indicating the performance of the charge / discharge operation of the electric power equipment. This configuration reduces the difference between the operation plan and the actual performance of the electric power equipment. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2020-156149 A Summary of the Invention [Problem to be solved by the invention]

[0006] However, when utilizing the electricity stored in the drive battery of an electric vehicle owned or used by a demand response service user for a virtual power plant, demand response, etc. by charging and discharging, it is necessary to increase the reliability of information regarding whether or not the service user will participate in demand response. However, service users sometimes use electric vehicles when going out, etc., and even if they declare that they will participate in demand response, they may not actually participate.

[0007] For example, if the amount of discharge from an electric vehicle falls short of expectations, the extent of the decline in power demand and the amount of power transmitted to the power grid due to demand response will fall short of expectations, and there is a risk that an alternative power source will need to be secured in a hurry or penalties will need to be paid to aggregators, etc. In order to avoid this risk, if operations are carried out based on an underestimated amount of discharge to ensure safety, there is an issue that the rewards obtained by participating in demand response, etc. will be significantly reduced. Therefore, further ingenuity is needed to improve the reliability of demand response using the driving batteries of electric vehicles.

[0008] The present invention has been made in consideration of such problems, and aims to provide a demand response system that can reduce factors of prediction error in the available capacity of power resources using the driving battery of an electric vehicle, and improve reliability. [Means for solving the problem]

[0009] One aspect of the present invention is A demand response system that is used for demand response by adjusting power supply and demand by charging and discharging batteries for driving electric vehicles owned or used by a plurality of service users in response to a participation request from a service server managed by an electric power company that is at least one of a resource aggregator, an aggregation coordinator, and an electric power retailer, the system comprising: a participation reservation acquisition unit that acquires participation reservations for participating in the demand response at the participation request date and time from the service server to the plurality of service users based on electronic reports from the plurality of service users; a participation record recording unit that monitors and records, for each of the service users, a participation record of actual participation in the demand response at the participation request date and time; a participation probability calculation unit that calculates a participation probability indicating the certainty of the participation reservation for each of the service users based on the past participation record; a resource estimation unit that estimates, for each of the service users, the participation probability in the participation reservation and estimates the power resource to be utilized for the demand response by the power supply and demand adjustment. And, the participation reservation acquisition unit is configured to acquire, for at least any one of the service users, in addition to the participation reservation, outing information indicating a date and time when the service user plans to go out, which is information on an application used by the service user; the resource estimation unit is configured to, when the participation request date and time when the participation reservation is made for any of the service users includes at least a part of the date and time of the outing information, cancel the participation reservation made by the any of the service users or lower the participation probability of the any of the service users, and estimate the power resource. in the demand response system. Another aspect of the present invention is A demand response system that is used for demand response by adjusting power supply and demand by charging and discharging batteries for driving electric vehicles owned or used by a plurality of service users in response to a participation request from a service server managed by an electric power company that is at least one of a resource aggregator, an aggregation coordinator, and an electric power retailer, the system comprising: a participation reservation acquisition unit that acquires participation reservations for participating in the demand response at the participation request date and time from the service server to the plurality of service users based on electronic declarations from the plurality of service users; a participation record recording unit that monitors and records, for each of the service users, a participation record of actual participation in the demand response at the participation request date and time; a participation probability calculation unit that calculates a participation probability indicating the certainty of the participation reservation for each of the service users based on the past participation record; a resource estimation unit that estimates, for each of the service users, a power resource to be utilized for the demand response through the power supply and demand adjustment by reflecting the participation probability in the participation reservation, the participation reservation acquisition unit is configured to acquire, for at least any of the service users, in addition to the participation reservation, presence information indicating a date and time when the service user is scheduled to be at home, which is information on an application used by the service user; The resource estimation unit is in a demand response system that is configured to estimate the power resource by correcting the participation probability of any of the service users higher when the participation request date and time when the participation reservation was made includes at least a part of the date and time of the presence information. Effect of the Invention

[0010] The above aspect and other aspects mentioned aboveIn the demand response system, a participation probability indicating the certainty of a participation reservation is calculated based on the service user's past participation record in requests to participate in demand response, and the participation probability is reflected in a new participation reservation. This makes it possible to appropriately use the power of the driving battery of an electric vehicle owned or used by the service user as a power resource for adjusting power supply and demand. This also makes it possible to reduce error factors in power resources due to demand response.

[0011] Therefore, in the above aspect and other aspects mentioned above According to the demand response system, it is possible to reduce factors of prediction error in the available capacity of power resources using the driving battery of an electric vehicle, and to improve the reliability of the demand response. [Brief description of the drawings]

[0012] [Figure 1] FIG. 1 is an explanatory diagram showing an overall configuration of a demand response system according to an embodiment. [Diagram 2] FIG. 2 is an explanatory diagram showing a software configuration of the demand response system according to the embodiment. [Diagram 3] FIG. 2 is an explanatory diagram showing a time configuration of a demand response system according to an embodiment. [Figure 4] 4 is a flowchart showing a control method of a demand response system according to an embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] A preferred embodiment of the above-mentioned demand response system will be described with reference to the drawings. <Embodiment> As shown in Fig. 1, the demand response system 1 of this embodiment is configured to utilize the charging and discharging power P of the driving battery 41 of the electric vehicle 4 owned or used by the multiple service users N for adjusting the supply and demand of electricity using a virtual power plant 10 in response to a participation request Y1 from a demand response service server 2 managed by an electric power company M to the multiple service users N. The electric power company M is configured by at least one of a resource aggregator M3, an aggregation coordinator M2, and an electricity retailer M1. Note that in Fig. 1, the resource aggregator M3, the aggregation coordinator M2, and the electricity retailer M1 are shown.

[0014] 2, the demand response system 1 includes a participation reservation acquisition unit 21, a participation record recording unit 22, a participation probability calculation unit 23, and a resource estimation unit 24. The participation reservation acquisition unit 21 is configured to acquire participation reservations Y2 for participating in the demand response at the participation request date and time T3 from the service server 2 to the multiple service users N, based on electronic declarations from the multiple service users N. The participation record recording unit 22 is configured to monitor and record, for each service user N, the participation record S of the actual participation in the demand response at the participation request date and time T3.

[0015] The participation probability calculation unit 23 is configured to calculate a participation probability K indicating the certainty of the participation reservation Y2 based on the ratio or tendency of the participation record S to the participation reservation Y2 for each service user N. The resource estimation unit 24 is configured to reflect the participation probability K in the participation reservation Y2 for each service user N and estimate the power resource R to be utilized for the demand response by the power supply and demand adjustment using the virtual power plant 10.

[0016] The demand response system 1 of this embodiment will be described in detail below. As shown in Fig. 1, the demand response system 1 of this embodiment utilizes a battery 41 for driving an electric vehicle 4 owned or used by a demand response service user N, for adjusting the supply and demand of electricity in a virtual power plant 10. A contract is made between an electric power company M and a plurality of service users N to use the battery 41 for driving an electric vehicle 4 owned or used by the service user N for demand response.

[0017] As shown in Fig. 2, the demand response service server 2 is configured by a computer managed by the electric power company M. The service server 2 may be constructed by cloud (cloud computing). The service server 2 is communicatively connected to terminals 3 such as personal computers and smartphones owned by a plurality of service users N through various networks such as the Internet.

[0018] Demand response is a mechanism for adjusting the supply and demand balance of electricity P, which involves restricting the use of electricity P on the consumer side and adjusting the amount of electricity P supplied by the consumer side.

[0019] The resource aggregator M3 as the electric power business operator M refers to an operator that directly enters into demand response contracts with consumers of electric power P as service users N and controls the resources of electric power P. The aggregation coordinator M2 as the electric power business operator M refers to an operator that bundles the amount of electric power controlled by the resource aggregator M3 and directly trades electric power P with general electric power transmission and distribution operators, retail electric power business operators M1, etc. The retail electric power business operator M1 as the electric power business operator M refers to an operator that operates a retail electric power business.

[0020] The virtual power plant 10 is also called a VPP (Virtual Power Plant), and refers to a mechanism that provides functions equivalent to those of a power plant, such as power generation and power demand adjustment, by collectively controlling photovoltaic power generation, storage batteries, electric vehicles (EVs) 4, fuel cells, etc. In this embodiment, the drive battery 41 of the electric vehicle 4 is utilized for adjusting the power supply and demand of the virtual power plant 10. In addition to transmitting power from the drive battery 41 to the power grid (reverse power flow, discharging), charging and discharging the drive battery 41 can also cover the power demand of a consumer as a service user N by discharging the drive battery 41, charging (absorbing) surplus power generation by photovoltaic power generation, etc., and utilizing the drive battery 41 to shift the peak of power supply and demand.

[0021] In principle, the resource estimation unit 24 in this embodiment estimates the power resource R when discharging the power P stored in the driving battery 41 of the electric vehicle 4. However, the power resource R exceptionally also includes a case where the driving battery 41 is charged from a power grid, a peripheral device used by the service user N, or the like.

[0022] The electric vehicle 4 also includes a plug-in hybrid vehicle equipped with an engine and a driving motor. The driving battery 41 refers to a chargeable and dischargeable secondary battery that may be used to drive the electric vehicle 4, and does not include a primary battery that cannot be charged. The driving battery 41 is used to drive the driving motor.

[0023] Electric vehicles used for demand response include those owned by the service users, as well as those rented out under a lease contract between a leasing company or the power company M and the service users.

[0024] The participation reservation acquisition unit 21, the participation record recording unit 22, the participation accuracy calculation unit 23, and the resource estimation unit 24 are constructed in software in the service server 2 operated or used by the electric power company M. A part of each of the participation reservation acquisition unit 21, the participation record recording unit 22, the participation accuracy calculation unit 23, and the resource estimation unit 24 may be constructed in an application 31 of a terminal 3 used by a service user N, which cooperates with the software in the service server 2, etc.

[0025] (Participation reservation acquisition unit 21) 2 and 3, the participation reservation acquisition unit 21 of the service server 2 acquires an electronic declaration of demand response from a service user N from a terminal 3 possessed or used by the service user N. The service server 2 of the electric power company M requests, via the Internet or the like, a plurality of service users N to participate in the demand response at a participation request date and time T3, which is a predetermined date and time for charging and discharging electric power P in the electric power supply and demand adjustment of the virtual power plant 10.

[0026] A service user N who wishes to participate in the charging and discharging of power P using the driving battery 41 of an electric vehicle 4 makes an electronic declaration via the Internet or the like to participate in demand response at participation request date and time T3. The participation reservation acquisition unit 21 of the service server 2 accepts an electronic declaration of participation reservation Y2 from the terminal 3 of the service user N. The participation reservation acquisition unit 21 may acquire a flag of 1 when there is a participation reservation Y2, and a flag of 0 when there is no participation reservation Y2.

[0027] 3, the participation reservation acquisition unit 21 is configured to acquire a participation reservation Y2 before a participation reservation acquisition time T1, which is several hours or more before the participation request date and time T3. The participation reservation acquisition time T1 may be, for example, by 8:00 a.m. on the day before the participation request date and time T3. The service server 2 accepts a participation reservation Y2 for demand response by the participation reservation acquisition time T1, and estimates power resources R for power supply and demand adjustment of the virtual power plant 10 by the participation request date and time T3.

[0028] 2, the participation reservation acquisition unit 21 is configured to acquire, for at least one service user N, in addition to the participation reservation Y2, outing information J1, which is information on the application 31 used by the service user N and indicates the date and time when the service user N plans to go out. The electric vehicle 4 is more likely to be used when the service user N goes out. Therefore, the service server 2 can detect, based on the outing information J1 of the application 31 used by the service user N, that there is an increased possibility that the service user N will not be able to participate in the demand response on the date and time when the service user N plans to go out.

[0029] Furthermore, the participation reservation acquisition unit 21 may be configured to acquire, for at least any service user N, in addition to the participation reservation Y2, presence-at-home information J2, which is information on the application 31 used by the service user N and indicates the date and time when the service user N is scheduled to be at home. When the service user N is at home, the electric vehicle 4 is less likely to be used. Therefore, the service server 2 can detect, based on the presence-at-home information J2 of the application 31 used by the service user N, that the service user N is more likely to be able to participate in demand response on the date and time when the service user N is scheduled to be at home.

[0030] The applications 31 used by the service user N include applications that manage information such as postal or parcel delivery reservations, calendars, schedulers, and smart meters. The out-of-office information J1 of the application 31 includes information on the calendar or scheduler used by the service user N. The presence-at-home information J2 of the application 31 includes information on applications used by the service user N to manage postal or parcel delivery reservations, etc. Postal or parcel delivery reservations include the specification of a delivery date and time by the service user N as a consumer, a re-delivery date and time, etc. The delivery date and time and the re-delivery date and time may also be changed.

[0031] A smart meter is a power meter that counts and transmits the amount of power usage in a shorter period than a conventional meter. The participation reservation acquisition unit 21 can use the information on past power usage managed in the smart meter as out-of-home information J1 or in-home information J2 of the application 31 used in the smart meter. The information on past power usage managed in the application 31 of the smart meter indicates, for example, the frequency of the day of the week, time period, etc., on which the service user N, who is a consumer of power P, is at home or out. Therefore, by the participation reservation acquisition unit 21 also using the information on past power usage from the smart meter, the service server 2 can more accurately detect the possibility that the service user N can participate in demand response.

[0032] (Participation Record Section 22) 2 and 3, the participation record recording unit 22 records the results of demand response participation reservations Y2 that multiple service users N made electronically in the past for a past date and time T0, and the participation results of actual participation in the demand response at the participation request date and time T3 when the past participation reservations Y2 were made. Then, the participation record recording unit 22 records the proportion or tendency of participation results being obtained compared to the reservation results as the participation record S for each service user N.

[0033] The participation record recording unit 22 tallies, for each service user N, the extent to which participation was actually achieved in accordance with the participation reservation Y2 made in the past, as a participation record S. The participation record recording unit 22 tallies and accumulates the participation record S for each service user N for each participation request date and time T3 after the power resource R for the demand response through power supply and demand adjustment using the virtual power plant 10 ends.

[0034] (Participation probability calculation unit 23) As shown in Figures 2 and 3, the participation accuracy calculation unit 23 compares the number of participation reservations Y2 and the number of participation records S for each service user N, and calculates the ratio of the number of participation records S to the number of participation reservations Y2. This ratio is calculated as participation accuracy K, which indicates the certainty of the participation reservations Y2. In other words, the participation accuracy K indicates the reliability of the participation reservations Y2 made by each service user N. By using the participation accuracy K, it is possible to increase the reliability of the power resource R using the demand response by the power company M. In addition, the participation accuracy K may be calculated as a tendency of the participation accuracy S for each service user N with respect to the participation reservations Y2.

[0035] For a demand response case for which participation reservation Y2 was made at participation request date and time T3, if the service user N actually participates in the demand response at this participation request date and time T3, the participation probability K of the service user N will be high. On the other hand, for a demand response case for which participation reservation Y2 was made at participation request date and time T3, if the service user N does not actually participate in the demand response at this participation request date and time T3, the participation probability K of the service user N will be low.

[0036] (Resource Estimation Unit 24) 2 and 3, the resource estimation unit 24 is configured to reflect the participation probability K in the participation reservation Y2 for each service user N, thereby determining whether to accept the participation reservation Y2 as is, to correct the participation reservation Y2 based on the participation probability K and then accept it, or to cancel the participation reservation Y2. The resource estimation unit 24 is configured to reflect the participation probability K calculated for each service user N based on the past participation record S in the participation reservation Y2 at the new participation request date and time T3.

[0037] For a service user N with a high participation probability K, the certainty (reliability) of the participation reservation Y2 at the new participation request date and time T3 is deemed to be high, and the ratio of the power P of the driving battery 41 of the electric vehicle 4 owned or used by the service user N to be reflected in the power resources R is increased. For a service user N with a low participation probability K, the certainty (reliability) of the participation reservation Y2 at the new participation request date and time T3 is deemed to be low, and the ratio of the power P of the driving battery 41 of the electric vehicle 4 owned or used by the service user N to be reflected in the power resources R is decreased.

[0038] 3, the resource estimation unit 24 is configured to estimate the power resource R to be utilized for demand response by power supply and demand adjustment using the virtual power plant 10 at an estimation time T2 that is after the participation reservation acquisition time T1 and before the participation request date and time T3. The power resource R is calculated based on the total number of corrected participation reservations Y2 of the service user N, using the participation reservations Y2 for each service user N corrected by the participation probability K.

[0039] The resource estimation unit 24 is configured to cancel the participation reservation Y2 by the service user N whose participation certainty K is lower than the certainty reference value, and estimate the power resource R. The participation certainty K is expressed, for example, as a percentage, a decimal value equal to or less than 1, or the like. The certainty reference value may be, for example, a value equal to or less than 30%, or a value equal to or less than 0.3. For an electric vehicle 4 owned or used by a service user N whose participation certainty K is evaluated low, the certainty (reliability) of the participation reservation Y2 is low, and there is a risk in incorporating it into the power resource R by demand response. Therefore, even if there is a participation reservation Y2 by a service user N whose participation certainty K is lower than the certainty reference value, when the resource estimation unit 24 calculates the power resource R, it is possible to reduce an error occurring in the power resource R by treating the participation reservation Y2 of the service user N as if it did not exist.

[0040] Furthermore, the resource estimation unit 24 is configured to make it more difficult for the participation reservation Y2 to be reflected in the estimation of the power resources R for a service user N with a lower participation probability K. Specifically, the resource estimation unit 24 may calculate the reflection rate of the participation reservation Y2 in the power resources R for each service user N. The reference value of the reflection rate is set to 100% or 1, and the lower the participation probability K of each service user N, the smaller the reflection rate becomes, being less than 100% or less than 1.

[0041] In addition, the available resource capacity of the driving battery 41 of the electric vehicle 4 is considered to be different for each service user N. The available resource capacity may be a specific percentage of the capacity of the driving battery 41. The resource estimation unit 24 may calculate the power resource R by multiplying the participation reservation Y2 of each service user N by the reflection rate and the available resource capacity of each service user N and adding up the results.

[0042] Furthermore, when the participation request date and time T3 at which the participation reservation Y2 was made for any of the service users N includes at least a part of the date and time in the outing information J1 of the application 31, the resource estimation unit 24 is configured to cancel the participation reservation Y2 by any of the service users N or to lower the participation probability K of any of the service users N, and estimate the power resource R. As described above, the outing information J1 of the application 31 used by the service user N indicates that the service user N plans to go out.

[0043] Therefore, even if a participation reservation Y2 is made at a specific participation request date and time T3, if that participation request date and time T3 overlaps with the date and time of the outing information J1 of the application 31, the certainty of the participation reservation Y2 of that service user N is determined to be low. In this case, the participation reservation Y2 of the service user N is canceled or the participation probability K of the service user N is corrected downward, so that the overall power resource R of the service user N participating in the demand response is corrected to be smaller.

[0044] Furthermore, when the participation request date and time T3 at which the participation reservation Y2 was made for any service user N includes at least a part of the date and time of the presence-at-home information J2 of the application 31, the resource estimation unit 24 is configured to increase the participation probability K of the service user N and estimate the power resource R. As described above, the presence-at-home information J2 of the application 31 used by the service user N indicates that the service user N is scheduled to be at home.

[0045] Therefore, when a participation reservation Y2 is made at a specific participation request date and time T3 and the participation request date and time T3 overlaps with the date and time of the presence-at-home information J2 of the application 31, the certainty of the participation reservation Y2 of the service user N is determined to be high. By correcting the participation probability K of the service user N in this case to be high, the overall power resource R of the service user N participating in the demand response is corrected to be large.

[0046] Furthermore, the resource estimation unit 24 may obtain information on whether the weather forecast is for bad weather or good weather for the participation request date and time T3, and correct the power resource R based on this information.

[0047] (Control method of demand response system 1) Next, a control method of the demand response system 1 will be described with reference to the flowchart of FIG. When the demand response system 1 is operated, the service server 2 of the electric power company M issues a participation request Y1 to multiple service users N of the demand response as to whether or not they will participate in the demand response at a predetermined participation request date and time T3 (step S101). Then, the service server 2 determines whether or not there has been an electronic declaration of participation reservation Y2 from each service user N, and accepts this electronic declaration of participation reservation Y2 (step S102). When there has been an electronic declaration of participation reservation Y2 from each service user N, the service server 2 acquires the participation reservation Y2 at the participation request date and time T3 from each service user N through the participation reservation acquisition unit 21 (step S103).

[0048] Next, the service server 2 calculates the participation probability K for each service user N who has made a participation reservation Y2 based on the past participation record S by the participation probability calculation unit 23 (step S104). At this time, the service server 2 calculates the participation probability K for each service user N who has made a participation reservation Y2 based on the past participation record S. Next, the service server 2 repeatedly executes steps S102 to S104 until the participation reservation acquisition time T1, which is several hours or more before the participation request date and time T3, has passed (step S105).

[0049] Then, when the participation reservation acquisition time T1 has passed, the resource estimation unit 24 of the service server 2 corrects the participation reservation Y2 for each service user N by the participation probability K to obtain the reflection rate of the participation reservation Y2 on the power resource R (step S106). Next, the resource estimation unit 24 of the service server 2 estimates the power resource R by summing up the product of the participation reservation Y2 of each service user N by the reflection rate and the available resource capacity of each service user N (step S107). This power resource R becomes smaller as the reflection rate of each service user N who made the participation reservation Y2 becomes smaller. Furthermore, the power resource R may also become smaller when the available resource capacity of each service user N is small.

[0050] Next, the service server 2 monitors, via the participation record recording unit 22, for each service user N who has made a participation reservation Y2, whether or not there has been charging or discharging of power P from the driving battery 41 of the electric vehicle 4 in the power supply and demand adjustment of the virtual power plant 10 at the participation request date and time T3. During this monitoring, the service server 2 detects, via the participation record recording unit 22, that, among the service users N who have made a participation reservation Y2, a service user N who has actually charged or discharged power P from the driving battery 41 of the electric vehicle 4 in response to the power supply and demand adjustment using the virtual power plant 10 has actually participated. The participation record recording unit 22 corrects the participation probability K of this service user N to be higher (step S108).

[0051] Meanwhile, during this monitoring, the service server 2 detects through the participation record recording unit 22 that, among the service users N who had made the participation reservation Y2, those service users N who did not actually charge or discharge the power P of the driving battery 41 of the electric vehicle 4 in response to the power supply and demand adjustment using the virtual power plant 10 did not actually participate. The participation record recording unit 22 corrects the participation probability K of this service user N to be lower (step S108).

[0052] Thereafter, when a participation request Y1 is made again at a specified participation request date and time T3 to ask whether or not to participate in the demand response, the power resource R is estimated for each service user N using the appropriately corrected participation probability K.

[0053] (Action and effect) In the demand response system 1 of this embodiment, a participation probability K indicating the certainty of the participation reservation Y2 is calculated based on the past participation record S of the service user N for the demand response participation reservation Y2, and the participation probability K is reflected in the participation reservation Y2. This makes it possible to appropriately utilize the power P of the driving battery 41 of the electric vehicle 4 owned or used by the service user N as the power resource R for adjusting power supply and demand. This also makes it possible to reduce error factors of the power resource R due to the demand response.

[0054] Therefore, according to the demand response system 1 of this embodiment, it is possible to reduce factors of prediction errors in the available capacity of the power resource R using the driving battery 41 of the electric vehicle 4, thereby improving the reliability of the demand response.

[0055] The present invention is not limited to the embodiments, and further different embodiments can be configured without departing from the spirit of the present invention. In addition, the present invention includes various modifications, modifications within the scope of the equivalents, and the like. [Explanation of symbols]

[0056] 1. Demand response system 10. Virtual Power Plant 2 Service Server 21 Participant Reservation Department 22 Participation Record Section 23 Participation probability calculation unit 24 Resource Estimation Unit 3. Terminal 4. Electric Vehicles 41 Running battery M Electric power company N Service User

Claims

1. A demand response system that is used for demand response by adjusting power supply and demand by charging and discharging batteries for driving electric vehicles owned or used by a plurality of service users in response to a participation request from a service server managed by an electric power company that is at least one of a resource aggregator, an aggregation coordinator, and an electric power retailer, the system comprising: a participation reservation acquisition unit that acquires participation reservations for participating in the demand response at the participation request date and time from the service server to the plurality of service users based on electronic declarations from the plurality of service users; a participation record recording unit that monitors and records, for each of the service users, a participation record of actual participation in the demand response at the participation request date and time; a participation probability calculation unit that calculates a participation probability indicating the certainty of the participation reservation for each of the service users based on the past participation record; a resource estimation unit that estimates, for each of the service users, a power resource to be utilized for the demand response through the power supply and demand adjustment by reflecting the participation probability in the participation reservation, the participation reservation acquisition unit is configured to acquire, for at least any one of the service users, in addition to the participation reservation, outing information indicating a date and time when the service user plans to go out, which is information on an application used by the service user; A demand response system, wherein the resource estimation unit is configured to, when the participation request date and time when the participation reservation was made for any of the service users includes at least a portion of the date and time of the outing information, cancel the participation reservation by that service user or correct the participation probability of that service user to be lower, and estimate the power resource.

2. The demand response system according to claim 1 , wherein the resource estimation unit is configured to estimate the power resource by canceling the participation reservation made by the service user whose participation probability is lower than a reference probability value.

3. The demand response system according to claim 1 , wherein the resource estimation unit is configured to make it more difficult for the participation reservation of the service user with a lower participation probability to be reflected in the estimation of the power resource.

4. the participation reservation acquisition unit is configured to acquire the participation reservation at a participation reservation acquisition time or earlier, which is several hours or more before the participation request date and time; The demand response system of any one of claims 1 to 3, wherein the resource estimation unit is configured to estimate the power resources at an estimation time that is later than the time the participation reservation is obtained and earlier than the participation request date and time.

5. A demand response system used for demand response through power supply and demand adjustment by charging and discharging batteries for driving electric vehicles owned or used by multiple service users in response to participation requests from multiple service users from a service server managed by an electric power company that is at least one of a resource aggregator, an aggregation coordinator, and a retail electricity company, comprising: a participation reservation acquisition unit that acquires participation reservations for participating in the demand response at the participation request date and time from the service server to the plurality of service users based on electronic declarations from the plurality of service users; a participation record recording unit that monitors and records, for each of the service users, a participation record of actual participation in the demand response at the participation request date and time; a participation probability calculation unit that calculates a participation probability indicating the certainty of the participation reservation for each of the service users based on the past participation record; a resource estimation unit that estimates, for each of the service users, a power resource to be utilized for the demand response through the power supply and demand adjustment by reflecting the participation probability in the participation reservation, the participation reservation acquisition unit is configured to acquire, for at least any of the service users, in addition to the participation reservation, presence information indicating a date and time when the service user is scheduled to be at home, which is information on an application used by the service user; a resource estimation unit configured to, for any of the service users, when the participation request date and time when the participation reservation was made includes at least a part of the date and time of the presence information, correct the participation probability of the service user to be higher and estimate the power resource.

6. The demand response system of claim 5, wherein the resource estimation unit is configured to estimate the power resources by canceling the participation reservation by the service user whose participation certainty is lower than a certainty reference value.

7. The demand response system of claim 5, wherein the resource estimation unit is configured to make it less likely that the participation reservation of a service user with a lower participation probability is reflected in the estimation of the power resources.

8. The participation reservation acquisition unit is configured to acquire the participation reservation at a participation reservation acquisition time or earlier, which is several hours or more before the participation request date and time, The demand response system of any one of claims 5 to 7, wherein the resource estimation unit is configured to estimate the power resources at an estimation time that is later than the time the participation reservation is obtained and earlier than the participation request date and time.

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