JP2021192140A - Electric power system control support system and electric power system control support method - Google Patents

Abstract

To provide an electric power system control support system that determines in advance a reward to be granted to encourage a consumer of an owner of a target device to temporarily secure an adjustment force.SOLUTION: An electric power system control support system 101 includes: an adjustment force relevant behavior specification unit; an adjustment force relevant behavior learning unit that learns presence or absence of applicable behavior by associating a behavior saved in a consumer behavior database storing a behavior of the consumer with a behavior specified by the adjustment force relevant behavior specification unit and generates a relevant behavior learning model of an adjustment force; a reward sensitivity generation unit that generates a reward sensitivity of the consumer from information stored in a granted reward and a result behavior database; and an adjustment force provision reward level calculation unit that calculates an appropriate granted reward to be granted when performing a behavior related to the adjustment force by the consumer by using the reward sensitivity of the consumer, the relevant behavior learning model of the adjustment force, and information stored in an adjustment force database, and notifies a transmission and distribution business operator of the calculated granted reward.SELECTED DRAWING: Figure 1

Description

The present invention relates to a power system control support system and a power system control support method that support power adjustment of the power system.

In recent years, due to power supply-demand mismatch and local voltage fluctuations in the power transmission and distribution system (power system), power has been consolidated from DER (Distributed Energy Resources) such as electric vehicles and storage batteries owned by consumers into the power transmission and distribution system. The aggregation business we provide is expanding.

In particular, due to the increase in photovoltaic power generation systems, local voltage fluctuations require local power adjustment.

Then, for such local power adjustment, a power suppression control system has been proposed that evaluates the incentive for the load adjustment of the consumer when the consumer supports the power adjustment and the consumer cooperates with the load adjustment. ..

As a background technique in such a technical field, there is Japanese Patent No. 5998046 (hereinafter referred to as "Patent Document 1").

Further, Patent Document 1 includes a database for storing system information of a distribution substation, a distributed power source connected to this system, a storage battery, and load device information and operation information, and for distribution at predetermined time intervals. In order to control the load adjustment amount of the substation, the load is created by the load suppression amount consisting of the discharge of the storage battery, the power generation of the distributed power supply and the load suppression of the load, and the charging of the storage battery and the activation of the load that can be shifted in time. The first allocation that calculates the load creation amount and allocates the load adjustment amount required for the distribution substation to the feeder unit of the distribution substation based on the calculated load suppression amount and load creation amount. In order to control the load adjustment amount in the feeder unit with the calculation device, the load suppression amount in the feeder unit and the load creation amount in the feeder unit are calculated, and the load adjustment amount transmitted from the first distribution calculation device is calculated. A second distribution calculation device that distributes the amount to each pillar transformer based on the calculated load suppression amount in the feeder unit and the load creation amount in the feeder unit, and the pillar transformer unit at predetermined time intervals. In order to control the load adjustment amount, the load suppression amount for each pillar transformer and the load creation amount finger for each pillar transformer are calculated, and the load adjustment amount transmitted from the second distribution calculation device is calculated. Based on the load suppression amount of each pillar transformer and the load creation amount of each pillar transformer, the degree of contribution to the load adjustment amount for each consumer is determined by the load adjustment amount of the consumer and the load amount of the distribution substation. A power suppression control system with a third distribution calculator, which is calculated using and, is described (see paragraph 0018).

Japanese Patent No. 5998046

Patent Document 1 describes a power suppression control system capable of appropriately evaluating an incentive for a load-adjusted adjustment amount.

That is, the power suppression control system described in Patent Document 1 allocates the necessary adjustment amount to the contracted consumer's target device for the load adjustment of the consumer, and contributes according to the distributed adjustment amount. Calculate the degree.

However, in Patent Document 1, when the consumer is urged to temporarily and voluntarily cooperate to secure a flexible adjustment force for the local power adjustment based on the local voltage fluctuation, the adjustment force of the adjustment force is provided. It is not stated that the level of reward to be granted to encourage securing is determined in advance.

Therefore, the present invention is a power system control support system and electric power that determine in advance a reward level (grant reward) to be granted to the consumer of the owner of the target device in order to temporarily encourage the securing of adjustment power. Provide a system control support method.

In order to solve the above-mentioned problems, the power system control support system of the present invention is stored in the coordination power-related behavior designation unit that specifies the behavior related to the coordination power and the consumer behavior database that stores the behavior of the consumer. The Coordinating Power-related Behavior Learning Department and the consumer, which link the behavior and the behavior specified by the Coordinating Power-Related Behavior Designation Department to learn the presence or absence of the corresponding behavior and generate a Coordinating Power-related Behavior Learning Model. A reward sensitivity generation unit that generates a consumer's reward sensitivity from information stored in a grant reward + result behavior database that stores the grant reward given to the user and the resulting behavior, and a reward sensitivity generation unit. For the behavioral learning model of the consumer's reward sensitivity generated in, the behavioral learning model of the coordinating power generated by the coordinating power-related behavior learning department, and the behavior for securing the coordinating power and coordinating power owned by the power transmission and distribution company. Using the information stored in the Coordinating Power database, which stores the behavior related to the corresponding Coordinating Power, the appropriate grant reward to be granted when the consumer performs the behavior related to the Coordinating Power is calculated. It is characterized by having a coordinating power providing fee level calculation unit for notifying the power transmission / distribution business operator of the calculated grant fee.

Further, in order to solve the above-mentioned problems, in the power system control support method of the present invention, the behavior related to the coordinating power is designated by the coordinating power-related behavior designating unit, and the behavior of the consumer is designated by the coordinating power-related behavior learning unit. By associating the behavior saved in the consumer behavior database with the behavior specified by the coordinating ability-related behavior designation unit, the presence or absence of the corresponding behavior is learned, and a coordinating ability-related behavior learning model is generated. Then, in the reward sensitivity generation unit, the reward sensitivity of the consumer is generated from the information stored in the grant reward + result behavior database that stores the grant reward given to the consumer and the resulting behavior. Coordinating power provision In the reward level calculation department, the consumer's reward sensitivity generated by the reward sensitivity generation unit, the behavioral learning model related to the coordination power generated by the coordination power related behavior learning department, and the power transmission and distribution company Using the information stored in the Coordination Power database, which stores the Coordination Power-related behaviors that correspond to the Coordination Power and the Behavior for Ensuring Coordination Power, the consumer can perform the Coordination Power-related behavior. It is characterized by calculating an appropriate grant fee to be granted at the time of implementation and notifying the power transmission and distribution company of the calculated grant fee.

According to the present invention, a power system control support system and electric power that determine in advance a reward level (grant reward) to be granted to the consumer of the owner of the target device in order to temporarily encourage the securing of adjustment power. A system control support method can be provided.

Issues, configurations and effects other than those described above will be clarified by the explanation of the following examples.

It is explanatory drawing explaining the electric power system control support system 101 described in Example 1. FIG. It is explanatory drawing explaining the consumer behavior database 103 described in Example 1. FIG. It is explanatory drawing explaining the reward sensitivity (relationship between the granted reward and the action implementation ratio) described in Example 1. FIG. It is explanatory drawing explaining the processing flow in the reward sensitivity generation part 106 described in Example 1. FIG. It is explanatory drawing explaining the processing flow in adjustment power provision reward level calculation unit 109 described in Example 1. FIG. It is explanatory drawing explaining the adjustment of the reward sensitivity in the relationship between the grant reward and the action implementation ratio described in Example 1. FIG. It is explanatory drawing explaining the electric power system control support system 101 described in Example 2. FIG. It is explanatory drawing explaining the electric power system control support system 101 described in Example 3. FIG.

Hereinafter, examples of the present invention will be described with reference to the drawings. In addition, substantially the same or similar configurations are designated by the same reference numerals, and if the explanations are duplicated, the description may be omitted.

First, the power system control support system 101 described in the first embodiment will be described.

FIG. 1 is an explanatory diagram illustrating the power system control support system 101 described in the first embodiment.

The power system control support system 101 described in the first embodiment has the following configuration.
(1) Coordination ability-related action designation unit 102, which specifies actions (information) related to coordination ability,
(2) Behaviors (information) stored in a consumer behavior database (hereinafter referred to as "customer behavior DB") 103 that stores various behaviors (information) of consumers such as homes that are owners of the target device. ) And the behavior specified by the coordination power-related behavior designation unit 102, the presence or absence of the corresponding behavior and the frequency of the behavior are learned, and the coordination power-related behavior learning model is generated. Learning unit 104,
(3) The grant reward (reward level) given to the consumer and the resulting behavior are stored in the grant reward + result behavior database (hereinafter referred to as “grant reward + result behavior DB”) 105. Reward sensitivity generation unit 106, which generates the reward sensitivity of the consumer from the information
(4) The consumer's reward sensitivity generated by the reward sensitivity generation unit 106, the adjustment power-related behavior learning model generated by the adjustment power-related behavior learning unit 104, and the adjustment owned by the power transmission and distribution business operator 107. Coordinating power database (hereinafter, "coordinating power DB") that stores the position and time zone (including the date and time, the same shall apply hereinafter) in which actions related to coordinating power were performed corresponding to the actions for securing power and coordinating power. The adjustment power information stored in 108 is used to calculate and calculate an appropriate grant reward (reward level) to be given when the consumer performs an action related to the adjustment power. Coordinating power provision fee level calculation unit 109 that notifies the power transmission and distribution business operator 107 of the granted fee.

In this way, the power system control support system 101 supports securing the adjusting power required for power adjustment of the power system.

The adjusting power is the adjustable power in the target device that can be controlled by the consumer.

As a result, it is possible to determine in advance the reward to be granted in order to temporarily encourage the consumer to take action to secure the adjusting power (load adjustment).

The adjustment force-related action designation unit 102 is a calculation unit (for example, a CPU or the like) that designates an action related to the adjustment force.

In particular, in the first embodiment, since an individual consumer having a household solar power generation system or the like is targeted, electric power generated by a large-scale generator and whose frequency is adjusted does not correspond to the adjusting power.

Then, in order to maintain the balance between supply and demand, the action for securing the adjusting power in the first embodiment is, for example,
(1) Negawatts that ask consumers to curb power consumption when it is expected that the power demanded will exceed the power that can be supplied during the summer daytime and the heat wave. (Action),
(2) The power generated by the wind power generation system during the time when the power consumption is low (for example, at night time) and the solar power generation system during the daytime during the middle period (season between summer and winter) is generated. In order not to suppress the power generation of such a renewable energy system when there is a surplus, the positive watt (action) that asks the consumer to increase the power consumed.
and so on.

In the future, positive watts will be consumed by consumers in order to suppress local voltage fluctuations when the power generated by the solar power generation system increases and local voltage fluctuations occur. It is conceivable not only to increase the amount of power generated, but also to have the power output from electric vehicles and inverter equipment installed in homes.

Further, the action related to the adjusting force in the first embodiment is linked to the above-mentioned action for securing the adjusting force, for example.
(1) For negawatts, go out during the summer daytime and even during the hottest hours.
(2-1) Increase the power consumed during night time, etc., with respect to positive watts.
(2-2) In contrast to Posiwatt, I stay at home even during the daytime on weekdays during the middle period.
(2-3) Charging an electric vehicle at a charging station at a specific location in order to suppress local voltage fluctuations with respect to positive watts.
There are actions such as. The actions related to each coordinating power correspond to the actions for ensuring each coordinating power.

Further, as for the time zone at night, a detailed time zone such as 1: 00 to 4:00 may be specified. Further, the specific place is not limited to one specific area (location), and a range such as a range (for example, ^{within 2 km 2} ) may be specified. Further, the specific place is not limited to the location, and a facility name such as a specific shopping center may be specified.

In addition, the behavior related to the coordinating power may be any behavior other than those described here as long as it is closely related to the securing of the coordinating power.

In other words, the behavior related to the adjusting power is to have the power used by the consumer increase or decrease with respect to the time zone in which it is used in response to local voltage fluctuations. It is the behavior of consumers.

The consumer behavior DB 103 is a database in which various behaviors of consumers are stored.

Here, the consumer behavior DB 103 described in the first embodiment will be described.

FIG. 2 is an explanatory diagram illustrating the consumer behavior DB 103 described in the first embodiment.

The consumer behavior DB 103 described in the first embodiment is a tabular relational database, but the method is not necessarily limited to this method, and various methods can be used.

In the consumer action DB 103, the time zone of the action, the presence / absence of the action, and the duration of the action are stored for each consumer and each date for various action contents of the consumer. For example, as in the action A, the action A can be saved with detailed contents including the time zone (AM), the presence / absence of implementation (yes: 〇), and the duration (1h), or can be saved. Like the action B, the action B includes only the presence / absence (yes: 〇) of the action B, and can be saved as the content of whether or not the action B was carried out on that day.

The action stored in the consumer action DB 103 is not limited to this, and for example, when charging an electric vehicle at a charging station in a specific place, the electric power (charge amount) charged by the electric vehicle is used. ) And other specific values may be saved.

The coordinating force-related behavior learning unit 104 is a calculation unit (for example, a CPU or the like) that generates a coordinating force-related behavior learning model.

Then, the coordinating power-related behavior learning unit 104 links the behavior stored in the consumer behavior DB 103 with the behavior designated by the coordinating power-related behavior designating unit 102, and the behavior stored in the consumer behavior DB 103. And the action designated by the coordinating ability-related action designation unit 102, the same action (presence or absence of the corresponding action and the frequency of the action) is searched for, and the action is extracted.

The adjustment power-related behavior learning model is a tabular relational database in which behaviors related to adjustment power are described for each consumer, but the method is not necessarily limited to this method, and various methods should be used. Can be done.

That is, the coordinating power-related behavior learning model is a behavior searched and extracted from the behavior stored in the consumer behavior DB 103 and the behavior designated by the coordinating power-related behavior designating unit 102.

As a method of searching for the same behavior, the behavior considered to be the same is selected from the consumer behavior DB 103 by parsing with respect to the behavior designated by the coordination power-related behavior designation unit 102.

In addition, when a specific behavior database exists, the behavior stored in this behavior database and the behavior stored in the consumer behavior DB 103 are linked, and the description content and coordination of the behavior stored in this behavior database are linked. You may select the one with the same description contents in combination with the description contents of the actions designated by the related action designation unit 102.

Further, when the consumer behavior DB 103 is newly created, only the behavior related to the adjustment power may be stored in the consumer behavior DB 103.

The grant reward + result action DB 105 is a database in which the grant reward given to the consumer and the result action are stored.

The data stored in the grant reward + result action DB 105 is data acquired from a general customer management system. Granted rewards are, for example, monetary-based ones such as various coupons and discount services that can be used for shopping, and result behaviors are target consumers according to the granted coupons and discount services. Is the action taken by.

That is, the grant reward + result action DB 105 is a database that stores the grant reward and the result action executed by the target consumer in response to the grant reward.

In the first embodiment, the data stored in the grant reward + result action DB 105 is data acquired from a general customer management system, but the grant reward and the result action are limited to those described above. There is no such thing.

The reward sensitivity generation unit 106 is a calculation unit (for example, a CPU or the like) that generates a consumer's reward sensitivity from the information stored in the granted reward + result action DB 105.

Here, the reward sensitivity (relationship between the granted reward and the action implementation ratio) described in the first embodiment will be described.

FIG. 3 is an explanatory diagram illustrating the reward sensitivity (relationship between the granted reward and the action implementation ratio) described in the first embodiment.

The reward sensitivity is given by a curve 301 showing the action implementation ratio (%) with respect to the granted reward (¥) given to the consumer.

In other words, the reward sensitivity is the behavior implementation ratio (degree of behavior) of the consumer according to the size of the grant reward, and the degree of behavior predicted by the consumer with respect to the grant reward given to the consumer. It shows whether it will be done. In general, as the rewards granted increase, so does the rate of action implementation.

Here, the processing flow in the reward sensitivity generation unit 106 described in the first embodiment will be described.

FIG. 4 is an explanatory diagram illustrating a processing flow in the reward sensitivity generation unit 106 described in the first embodiment.

The reward sensitivity (curve 301) is generated in the following steps.
(1) First, the behavior implementation ratio of the consumer to the grant reward is calculated from the behavior history of the consumer executed for the grant reward (S401).
(2) Next, from the action implementation ratio of several points (triangle mark in Fig. 3, 4 points in Example 1) to the grant reward, points (consumer's action implementation ratio to a certain grant reward) and points (certain grant reward) Interpolate between (consumer's action implementation ratio) and. Then, the behavior implementation ratio of the consumer to the granted reward is calculated, and the reward sensitivity (curve 301) is generated (S402).

As the interpolation method, a general method such as a polynomial, an exponential function, or other curve approximation can be used.

The coordinating power DB 108 is a database owned by the power transmission and distribution business operator 107, in which the coordinating power and the position and time zone in which the action related to the coordinating power is performed are stored.

The adjustment power providing reward level calculation unit 109 includes the customer's reward sensitivity generated by the reward sensitivity generation unit 106, the adjustment power-related behavior learning model generated by the coordination power-related behavior learning unit 104, and the coordination power. Appropriate grant reward (reward level) to be granted when the consumer carries out actions related to coordination using the information stored in DB 108 (adjustment power information input from the power transmission / distribution company 107). ) Is a calculation unit (for example, a CPU).

Then, the adjustment power providing reward level calculation unit 109 notifies the power transmission and distribution business operator 107 of the calculated grant reward.

Further, the adjustment power provision reward level calculation unit 109 determines whether or not the behavior related to the adjustment power exists in the adjustment power related behavior learning model based on the adjustment power information input from the power transmission / distribution company 107. If it exists, the reward sensitivity is increased, and if it does not exist, the reward sensitivity is decreased to determine the reward sensitivity.

Here, the processing flow in the adjustment power providing reward level calculation unit 109 described in the first embodiment will be described.

FIG. 5 is an explanatory diagram illustrating a processing flow in the adjustment power providing reward level calculation unit 109 described in the first embodiment.

The grant reward (reward level) is calculated in the following process.
(1) First, the adjustment power information is input from the power transmission and distribution business operator 107 (S501). The adjustment power information is information on the position and time zone in which the power transmission and distribution business operator 107 owns the adjustment power and the action related to the adjustment power is carried out, and also to the consumer at a specific position and time zone. It is information on the adjustment power that you want to adjust (the adjustment power that you want to secure).
(2) Next, for each consumer, the adjustment force information related to the consumer is selected from the adjustment force information stored in the adjustment force DB 108 (S502).
(3) Next, the reward sensitivity of the consumer who has the corresponding adjustment power information is increased, and the reward sensitivity of the consumer who does not have the corresponding adjustment power information is decreased (S503).
(4) Finally, the grant reward to be presented to each consumer is determined (S504), in which the expected value of the adjusting power exceeds the condition and the required grant reward (amount) is minimized.

Based on the above, the grant reward to be presented to each consumer is determined in order to have the adjustment power provided.

In this way, the granted reward determines whether or not the behavior related to the adjustment power exists in the related behavior learning model of the adjustment power based on the adjustment power information, and if so, determines the reward sensitivity. If it does not exist, the reward sensitivity is reduced, and the action implementation ratio for the granted reward is obtained and determined.

The relationship between the coordinating power-related behavior learning model and the coordinating power-related behavior is, for example, when the consumer wants the electric vehicle to be charged at a charging station in a specific place. Information such as whether or not you may go out in the vicinity, and information such as whether or not the consumer often uses electricity during the nighttime when you want to increase the power consumed during the nighttime. , And so on. Then, the reward sensitivity is increased or decreased based on such information and the relevant adjustment power information.

As described above, according to the first embodiment, it is possible to determine in advance the reward to be granted in order to temporarily encourage the consumer to take an action for securing the adjustment ability.

Here, the adjustment of the reward sensitivity will be described in relation to the grant reward described in Example 1 and the action implementation ratio.

FIG. 6 is an explanatory diagram illustrating the adjustment of the reward sensitivity in the relationship between the granted reward and the action implementation ratio described in the first embodiment.

FIG. 6 shows an increase in the reward sensitivity and a decrease in the reward sensitivity of S503 shown in FIG.
(1) When the consumer includes an action corresponding to the necessary adjustment power condition, the reward sensitivity is increased (curve 601).
(2) If the behavior corresponding to the required adjustment power condition is not included in the consumer, the reward sensitivity is reduced (curve 602).

At this time, the increase rate and the decrease rate may be set to a certain value, or different values may be used for each consumer.

Next, the calculation in S504 shown in FIG. 5 will be described using the equation 1 and the equation 2.

Here, i is the number of each consumer, s (i) is the amount of adjustment power provided by each customer, p (i) is the action implementation ratio of each customer, and S is the adjustment power to be secured. The value, m (p (i)), indicates the grant reward (amount). The equation 1 is a constraint condition, and the equation 2 is an objective function.

In the number 1, the expected value of the adjusting force (the left side of the number 1) exceeds the value of the adjusting force to be secured (the right side of the number 1). Then, in the equation 2, the grant reward is minimized.

Note that s (i) is derived from the result action executed by the target consumer according to the grant reward + result action DB 105 stored in the grant reward + result action DB 105, and p (i) is stored in the grant reward + result action DB 105. Generated from stored information. For example, s (i) is derived based on the information that a certain consumer provides a predetermined adjustment force when he / she wants an electric vehicle to be charged at a charging station at a specific place. (I) is the action implementation ratio of the consumer regarding the information.

Then, m (p (i)) is based on the reward sensitivity of the consumer, the related behavior learning model of the adjustment power, and the information stored in the adjustment power DB 108 in the adjustment power provision reward level calculation unit 109. Is calculated. In other words, it is a reward given to the behavior implementation rate of the consumer.

Then, the sum of the products of m (p (i)) and p (i) is minimized, and the appropriate grant reward to be given when the consumer carries out the action related to the adjustment power (presented to each consumer). Grant reward) is calculated.

For the equation 1, by multiplying the left side or the right side by a coefficient, it is possible to specify how many times the required expected value becomes the required adjusting force.

Further, the number 2 is a solution of an optimization problem (optimization variable), and NLP (Non Linear Programming) may be used as a nonlinear problem, or MILP (Mixed Integer Linear Programming) that linearly divides a nonlinear characteristic. ) May be used. Alternatively, heuristic methods such as particle swarm optimization may be used.

Further, a margin ratio may be provided for the adjustment force to be secured, and the necessary adjustment force may be secured.

In this way, according to the first embodiment, it is possible to determine in advance the reward (reward level) to be granted to the consumer of the owner of the target device in order to temporarily promote the securing of the adjustment ability. can.

Next, the power system control support system 101 described in the second embodiment will be described.

FIG. 7 is an explanatory diagram illustrating the power system control support system 101 described in the second embodiment.

In the second embodiment, the adjustment of the reward sensitivity is modified based on the behavior of each consumer.

That is, the power system control support system 101 described in the second embodiment is compared with the power system control support system 101 described in the first embodiment, and the adjustment power providing fee level calculation unit 109 is further described by each consumer 701. It differs in that it uses information from.

The power transmission and distribution business operator 107 provides each consumer 701 with a grant reward (reward level) (grant reward (reward level) to be granted to promote the securing of coordination power) notified from the adjustment power provision reward level calculation unit 109. And request actions related to coordinating power corresponding to actions for ensuring coordinating power.

The adjustment power provision fee level calculation unit 109 inputs information on whether or not each consumer 701 actually responded to the request from the power transmission and distribution business operator 107.

Then, the adjustment power providing reward level calculation unit 109 changes the degree of adjustment (increase or decrease) of the reward sensitivity based on this information. For example, the adjustment of reward sensitivity is multiplied by a coefficient, and if there is a response, the coefficient is increased, and if there is no response, the coefficient is decreased.

By repeating this, the consumer can be actively and voluntarily cooperated to secure flexible coordinating power and take actions related to coordinating power.

As described above, according to the second embodiment, it is possible to determine in advance the reward to be granted to the consumer of the owner of the target device in order to temporarily encourage the securing of the adjustment ability, and further. , You can actively perform actions related to coordination.

Next, the power system control support system 101 described in the third embodiment will be described.

FIG. 8 is an explanatory diagram illustrating the power system control support system 101 described in the third embodiment.

In the third embodiment, regarding the incentives provided to each consumer 107, in addition to (or changing) monetary-based ones such as various coupons and various discount services, data such as items and characters of the application game are used as incentives. Provided as.

That is, in the power system control support system 101 described in the third embodiment, the adjustment power providing fee level calculation unit 109 is further owned by the operating company as compared with the power system control support system 101 described in the second embodiment. The difference is that the information from the app game server 801 is used.

In the third embodiment, the application game server 801 is connected between each consumer 701 and the adjustment power providing reward level calculation unit 109.

The application game server 801 is connected to a personal terminal (smartphone or the like) owned by each consumer 701 via a network. Then, the application game server 801 is provided with information such as the fact that each consumer 701 is executing the application game and the amount of money charged for items, characters, etc. (application game usage status of each consumer 701). , Will be saved.

The adjustment power provision reward level calculation unit 109 inputs such information. Then, the adjustment power providing reward level calculation unit 109 uses data such as items and characters (an application corresponding to the grant reward) for all or part of the grant reward separately calculated to be presented to each consumer based on such information. (Game data), each consumer 701 is notified via the application game server 801 that the data can be obtained.

As an incentive, a monetary-based reward and an application game data reward may be combined, or either one may be used.

Further, the adjustment power providing reward level calculation unit 109 may input the position information of each consumer 701 via the application game server 801.

For example, in order to respond to local voltage fluctuations by a photovoltaic power generation system, when an electric vehicle is to be charged at a charging station at a specific location, each consumer 701 wants to charge the electric vehicle at the charging station at the specific location. When charging the electric vehicle, the position information of each consumer 701 is input via the application game server 801.

Then, the location information of each consumer 701 may be notified to the transmission company 107 via the application game server 801 and an incentive may be presented including the provision of the location information.

In this way, the adjustment power providing reward level calculation unit 109 provides the adjustment power of each consumer 701 at the place (specific place) where the adjustment power is desired to be provided, and each customer 701 provides the application game server 801. When the location information of each consumer 701 is provided through the system, an incentive is presented including the provision of the location information.

That is, when each consumer 701 provides a predetermined adjustment power at a specific place including the position information, the adjustment power provision reward level calculation unit 109 includes the provision of the position information. Grant a reward.

As described above, according to the third embodiment, as for the incentive to be provided to each consumer 107, the data of the application game can be provided as an incentive in addition to the monetary-based one.

As described above, according to the third embodiment, it is possible to determine in advance the reward (reward level) to be granted to the consumer of the owner of the target device in order to temporarily promote the securing of the adjustment ability. In addition to being able to do this, it is also possible to have people actively perform actions related to coordination, and it is also possible to provide app game data as an incentive.

The present invention is not limited to the above-described embodiment, and includes various modifications. The above-mentioned examples have been described in detail in order to explain the present invention in an easy-to-understand manner, and are not necessarily limited to those having all the described configurations.

It is also possible to replace a part of the configuration of one embodiment with a part of the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Is.

101 ・ ・ ・ Power system control support system 102 ・ ・ ・ Coordination ability related action designation unit 103 ・ ・ ・ Consumer action DB
104 ・ ・ ・ Coordination ability related behavior learning department 105 ・ ・ ・ Grant reward + result behavior DB
106 ・ ・ ・ Reward sensitivity generation unit 107 ・ ・ ・ Power transmission and distribution business operator 108 ・ ・ ・ Coordination power DB
109 ... Adjustment power provision reward level calculation unit 301, 601, 602 ... Curve 701 ... Each consumer 801 ... App game server

Claims (8)

Coordinating power-related behavior designation unit that specifies behavior related to coordinating power,
By associating the behavior saved in the consumer behavior database that stores the behavior of the consumer with the behavior specified by the coordination power-related behavior designation unit, the presence or absence of the corresponding behavior is learned, and the relationship between the coordination power is related. Coordinating ability-related behavior learning department that generates behavior learning model,
From the information stored in the grant reward + result behavior database that stores the grant reward given to the consumer and the resulting behavior, the reward sensitivity generation unit that generates the reward sensitivity of the consumer, and the reward sensitivity generation unit.
The consumer's reward sensitivity generated by the reward sensitivity generation unit, the related behavior learning model of the adjustment power generated by the adjustment power-related behavior learning unit, and the adjustment power and adjustment power owned by the power transmission and distribution business operator. The information stored in the coordinating power database, which stores the coordinating power-related behavior corresponding to the behavior for ensuring, is given to the consumer when performing the coordinating power-related behavior. The adjustment power provision fee level calculation unit that calculates the appropriate grant fee and notifies the calculated grant fee to the power transmission and distribution business operator, and
A power system control support system characterized by having. In the power system control support system according to claim 1,
The consumer behavior database is a power system control support system characterized by storing the behavior content, time zone, implementation presence / absence, and duration of the consumer. In the power system control support system according to claim 1,
The power system control support system is characterized in that the reward sensitivity is an action implementation ratio with respect to the granted reward. In the power system control support system according to claim 1,
The adjustment power provision reward level calculation unit determines whether or not an action related to the adjustment power exists in the related behavior learning model based on the adjustment power information input from the power transmission and distribution business operator, and exists. A power system control support system characterized in that the reward sensitivity is increased when the reward sensitivity is applied, and the reward sensitivity is decreased when the reward sensitivity does not exist, and the reward sensitivity is determined. In the power system control support system according to claim 1,
The adjustment power provision reward level calculation unit changes the degree of adjustment of the reward sensitivity based on the information of whether or not the consumer actually responded to the request from the power transmission and distribution business operator. A power system control support system characterized by this. In the power system control support system according to claim 1,
The adjustment power provision reward level calculation unit is a power system control support system characterized in that, as an incentive to be provided to the consumer, data of an application game is provided in addition to or changed from a money-based one. In the power system control support system according to claim 6,
The adjustment power provision reward level calculation unit is a power system control support system characterized in that the position information of a consumer is input via an application game server. In the coordinating power-related behavior designation section, specify the behavior related to coordinating power,
In the coordinating ability-related behavior learning department, the behavior saved in the consumer behavior database that stores the behavior of the consumer and the behavior specified in the coordinating ability-related behavior designation unit are linked, and the presence or absence of the corresponding behavior is present. To generate a behavioral learning model related to coordination,
In the reward sensitivity generation unit, the reward sensitivity of the consumer is generated from the information stored in the grant reward + result behavior database that stores the grant reward given to the consumer and the resulting behavior.
Coordinating power provision In the reward level calculation unit, the customer's reward sensitivity generated by the reward sensitivity generation unit, the behavior-related behavior learning model of the coordination power generated by the coordination power-related behavior learning unit, and the power transmission and distribution business. The consumer is associated with the coordinating power by using the information stored in the coordinating power database, which stores the coordinating power and the behavior related to the coordinating power corresponding to the behavior for ensuring the coordinating power owned by the person. Calculate the appropriate grant reward to be granted when carrying out the action to be performed, and notify the power transmission and distribution company of the calculated grant reward.
A power system control support method characterized by this.

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