JP2022164918A - Power demand control system, power demand control method, and power demand control program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a mechanism of double demand responses in which demand is promoted depending on a supply amount of power in addition to suppressive adjustment of demand correspondingly to the conventional supply amount of power.

SOLUTION: A power demand control system 100 comprises: demand predicting means 101 for predicting power demand after a predetermined time from an actual measurement value of power demand and meteorological data; and actual measurement value measuring means 102 for measuring an actual power use amount of a user. The power demand control system detects variation values including a prediction value predicted by the demand predicting means 101 and the actual measurement value measured by the actual measurement value measuring means 102; comprises non-immediate demand request means 104 for originating a request for prompting a user to use power when detecting the actual measurement value being lower than the prediction value; and receives the user's response to the request and reflects the response in demand prediction. The power demand control system also comprises user evaluation means 106 for evaluating the user on the basis of information on the response to the request.

SELECTED DRAWING: Figure 1

COPYRIGHT: (C)2023,JPO&INPIT

Description

The present invention relates to technology for controlling power demand according to the amount of power generation.

In recent years, there has been an active movement towards the liberalization of the electric power market. Until now, major regional electric power companies have been responsible for “power generation” and “transmission and distribution.” Electric power is supplied based on the concept of "electrode-isolation". Therefore, instead of the power generation side making a power generation plan according to demand as in the past, the power transmission and distribution side issues power supply instructions to the power generation side according to demand.

On the other hand, since the shutdown of nuclear power plants, many proposals have been made to encourage consumers to save power in accordance with devices aimed at reducing power consumption and power companies' peak power generation capacity.

For example, in Patent Document 1, a control rule is applied to satisfy the target amount of power reduction in demand response (a mechanism for reducing power demand in response to a request to reduce power consumption to each consumer). Disclosed is a power management support device capable of presenting in advance a control result for each case. According to the present invention, equipment mapping information is generated by linking a floor layout indicating the arrangement of fixtures on a floor of a building and an equipment layout indicating the positions of power consuming equipment, and each floor is mapped based on the equipment mapping information. Determine power consuming devices belonging to a plurality of divided areas, obtain control results based on control rules and parameters for calculating control priority of power consuming devices, specs of power consuming devices, control categories, calculation rules, power It discloses simulating and outputting a control result based on the target amount of reduction and sensing information indicating the situation in the floor.

In addition, Patent Document 2 discloses a power saving information providing device that provides specific guidance for power saving according to the overall power situation, thereby realizing effective power saving through solidarity among people. According to the present invention, according to the range of power status values such as the power usage rate, data representing the need for power saving for each electrical product is prepared in several levels, and the data is used to determine the power usage from the power company. As specific guidance for power saving according to the power situation of the region or society as a whole provided as situation data, the necessity of power saving according to the power situation value is specifically displayed in the icon display mode of the electric appliance. As a result, the user can easily save power even when using a wide variety of electric appliances.

In addition, the inventors of the present application also record the user's action history from the user's credit card usage history in order to encourage power saving behavior in Patent Document 3, and the server of the card company records the power saving amount of the user's home and the purchase behavior of the card taken by the user, and determine incentives to be given to the user according to the evaluation.

JP 2013-236520 A JP 2013-3864 A JP 2014-191579 A

All of the methods described in the above patent documents promote power saving, and are techniques for controlling power demand in the direction of suppression. However, power demand forecasting is necessary for this power demand control. FIG. 7 shows an image of power demand forecast. For example, in the summertime, as shown in Figure 7(a), power consumption increases with the start of people's activities around 5:00 a.m., and power consumption peaks around 2:00 p.m. to 3:00 p.m. Welcome. On the other hand, in winter, as shown in Fig. 7(b), the use of electric power increases with the start of people's activities around 6:00 in the morning, and the use of electricity for lighting and heating increases as the sun sets and the temperature drops. come. In particular, in winter, the sun sets earlier than in summer, so power usage often peaks around 17:00 to 19:00, when home use overlaps with home use. Since the difference between daytime and nighttime power consumption is smaller in winter than in summer, power demand has a relatively flat curve throughout the day.

In this way, power demand control requires adjustment of supply and demand in accordance with power demand forecasts for each season and time period. However, even if the power generation amount (power supply amount) is indicated in accordance with the power demand forecast, it may deviate from the actual demand. In FIG. 7, for example, at 2:00 p.m., comparing the planned power supply instruction amount (indicated by the one-dot chain line) with the latest demand forecast (indicated by the dotted line), the areas indicated by hatching in both summer and winter show a shortage of demand. Conversely, it shows that the area painted in black in the summertime is short of power supply. Therefore, it is necessary to minimize the gap between the power supply instruction amount (power generation instruction amount) and the demand forecast.

As a mechanism to minimize this gap, we have imposed obligations on each electric power company based on the concept of "actual simultaneous consumption". The concept of actual simultaneous consumption seeks to match the amount actually supplied (generated) with the amount actually consumed by the company's customers. Each electric power company makes power generation plans based on demand forecasts in advance, but they make efforts to achieve the same amount of power at the same time by adjusting the operation of the power generation side according to changes in actual demand from moment to moment. It's here. In other words, power generation and retail have worked together to achieve the same amount at the same time.

On the other hand, in the institutional reforms related to the liberalization of electricity, the concept of supply and demand control was changed from "actual simultaneous amount" to "planned value simultaneous amount". Simultaneous equality of planned values requires both the power generation side and the retail side to match the amount planned in advance and the actual amount to be submitted to the power transmission and distribution business operator. In other words, the power generation side is asked whether it was possible to generate electricity as planned in advance, and the retail side is asked whether the demand was as planned in advance. As for the gap between the actual amount and the planned value, the power transmission and distribution company will be responsible for adjusting it. In the simultaneous equalization of the planned value, the power generation side and the retailer have separate obligations to equalize the same amount, so the retailer cannot adjust the gap between the predicted value and the actual amount by operating the generator. It is required to adjust according to demand only. In other words, retailers are required to "make highly accurate demand forecasts" and "make customers consume electricity as forecasted."

Therefore, in view of the above problems, the present invention provides a mechanism for promoting demand in accordance with the predicted demand amount, in addition to suppressing and adjusting the demand in accordance with the conventional predicted demand amount of electricity. The purpose is to control the electric power demand by double suppression and promotion, and to enable control of double demand response.

In order to solve the above problems, the present invention provides the following solutions.
(1) A first aspect of the present invention is a power demand control system for controlling the power demand of consumers within its jurisdiction, comprising a measured value DB recording at least the measured value of the power demand and meteorological data, Demand prediction means for predicting the power demand after a predetermined time, whether or not a response to a non-immediate use request, which is a power use request, can be responded, and the predicted demand amount (Kw/ hr), a non-immediate demand list for registering each device or facility of the consumer, actual value measuring means for measuring the actual power consumption of the consumer, a predicted value predicted by the demand forecasting means, and the a change detection means for detecting a change value from the actual value measured by the actual value measurement means; and a response to the non-immediate demand list when the change detection means detects that the actual value exceeds or falls below the predicted value. a non-immediate demand request means for transmitting the non-immediate use request to the consumer registered as available.

(2) In the configuration of (1) above, the non-immediate demand request means requests the consumer to save power when the fluctuation detection means detects that the measured value exceeds the predicted value. Send a non-immediate suppression request.

(3) In the configuration of (1) above, the non-immediate demand list is configured by dividing the customers within the jurisdiction into large-volume customers and general household customers, and the customers are large-volume customers. Equipment or facilities subject to demand in this case include power storage equipment for central heating or cooling, control equipment for data centers, lighting equipment for advertisements, equipment for controlling operation rates in factories, pumping equipment for hydroelectric power plants, and nuclear waste. , and when the customer is a general household, the equipment or equipment to be demanded includes charging auxiliary batteries, restoring the output of air conditioners, hot water supply equipment, dishwashers, dryers at least one of a machine, an electric vehicle charger, a rice cooker, and a snow melting machine.

(4) A second aspect of the present invention is a power demand control method for controlling the power demand of consumers within a jurisdiction, wherein a computer records at least the measured values of the power demand and meteorological data From this, a step of predicting the power demand after a predetermined time, whether or not a response to a non-immediate use request, which is a power use request, can be responded, and the predicted demand amount (Kw /hr) in a non-immediate demand list for each device or facility of the consumer; measuring the actual power consumption of the consumer; A step of detecting a variation value from the measured value measured in the step of measuring, and registering in the non-immediate demand list as responsive when the detected step detects that the measured value exceeds or falls below the predicted value. and sending the non-immediate use request to the received consumer.

(5) A third aspect of the present invention is a program that causes a computer to execute the steps described in (4) above.

According to the present invention, in addition to suppressing and adjusting demand according to the conventional power supply, a mechanism is provided to promote demand according to the supply, and power demand is doubled by suppressing and promoting. It enables the control of the double demand response to be controlled.

It is a figure showing functional composition of a power demand control system concerning an embodiment of the present invention. It is a figure which shows an example of the non-immediate demand list|wrist (general household) which concerns on embodiment of this invention. It is a figure which shows an example of the non-immediate demand list (large-scale consumer) which concerns on embodiment of this invention. It is a figure which shows the flow of non-immediate demand request processing which concerns on embodiment of this invention. It is a figure which shows an example of the consumer rank table which concerns on embodiment of this invention. It is a figure which shows an example of the consumer evaluation table which concerns on embodiment of this invention. It is a figure which shows the image of electric power demand forecast. It is a figure which shows the image of power transmission separation.

EMBODIMENT OF THE INVENTION Hereinafter, with reference to an accompanying drawing, the form (henceforth, embodiment) for implementing this invention is demonstrated in detail. In subsequent figures, the same numbers or symbols are attached to the same elements throughout the description of the embodiments. In the diagram of the functional configuration, arrows between functional blocks indicate the data flow direction or the processing flow direction.

(Functional configuration)
FIG. 1 is a diagram showing the functional configuration of a power demand control system according to an embodiment of the invention. As illustrated, a power demand control system 100 (hereinafter referred to as the present system) is a system of a new electric power company or a power transmission and distribution business operator, and is a consumer system or control device (hereinafter referred to as a consumer 200). and has the following functions: That is, the present system includes, as functional units, demand forecasting means 101, measured value measuring means 102, fluctuation detecting means 103, non-immediate demand requesting means 104, consumer response receiving means 105, and consumer evaluation means 106. In addition, as a database (DB) necessary for realizing the function, it is provided with an actual measured value DB 10, a demand forecast DB 111, and a consumer information DB 112.

This system divides and manages consumer demand into “immediate power demand” and “non-immediate power demand.” Requests (encourages) consumption of electricity to households, and asks consumers to respond to requests for electricity consumption based on prepared "non-immediate electricity demand". Incentives are given to consumers who respond to the request. "Non-immediate power demand" (also referred to as "non-immediate demand") means that power is not needed immediately, but is known to be needed in the near future, e.g., within 30 minutes to several hours. It is the demand for electricity that is currently being used or for which electricity can be expected to be saved. The non-immediate demand request includes a request to promote power consumption when power demand is predicted to fall below the amount of power supplied, and a request to suppress power consumption when power demand is predicted to exceed the amount of power supplied.

For non-immediate power demand, for example, in general households, in addition to operating dishwashers and washing machines, boiling water in baths, etc., storage of electricity in household storage batteries, which will become widespread in the future, can also be considered. Non-immediate power demand of large customers includes, for example, power storage for central heating and cooling, control of execution of pending jobs in data centers, lighting equipment in advertising companies (advertisement projection by projection mapping, etc.), factory operation rate control (such as production of parts for inventory in a factory).

Demand prediction means 101 predicts power demand after a predetermined time. That is, the power demand for each time period of the current day is predicted based on at least the measured value DB 110 storing past power demand results for each day and time period, and weather data such as temperature and humidity obtained from the outside. Furthermore, if necessary, calendar information and data on events that consume a large amount of power are added to predict the power demand for each time zone of the day. The predicted results are stored in the demand prediction DB 111 .
The actual measured value DB 110 always stores the actual power consumption obtained by the measured value measuring means 102 from the consumer 200 and measured.

The change detection means 103 detects a change value between the predicted value predicted by the demand prediction means 101 and the measured value measured by the measured value measuring means 102 . Specifically, the latest measured value stored in the measured value DB 110 and the latest predicted value in the demand prediction DB 111 are always compared to detect variations between the predicted value and the measured value. When the fluctuation detection means 103 determines that the measured value is lower than the predicted value, the non-immediate demand request means 104 sends a power usage request (non-immediate usage request) to the consumer 200 (customer's system ). Conversely, when it is determined that the demand will exceed the predicted value, a power saving request (non-immediate suppression request) is sent to the consumer 200, or an instruction to increase the power supply amount is sent. Here, the non-immediate use request and the non-immediate suppression request are collectively referred to as non-immediate demand request, but the power saving method for responding to the non-immediate suppression request is assumed to use existing technology, and the explanation is omitted here. do.

The non-immediate demand request means 104 acquires the customer's system address and other necessary information from the customer information DB 112 storing information on customers who can respond to non-immediate demand requests, and requests or suppresses usage. Submit a request. The customer's system is a power control system for equipment within the business in business operators such as companies, and a residential energy management device such as HEMS (Home Energy Management System) in general households. Note that if the consumer side has a means for receiving a use request or a suppression request in some way, the consumer may manually operate the device without the HEMS. The details of the non-immediate demand request processing will be described later.

The consumer response receiving means 105 receives a response from the consumer 200 to the non-immediate demand request, inputs the demand increase or decrease included in the response to the demand forecasting means 101, and receives the response (response). The customer evaluation means 106 that evaluates is executed. The demand forecasting means 101 updates the demand forecast based on the input information. Note that the consumer's response may be only to notify the increase/decrease result of the demand, such as obtaining and notifying the amount of increase/decrease by HEMS.

The consumer evaluation means 106 evaluates responses to non-immediate demand requests for each consumer. This evaluation is carried out by calculating contribution points based on the response time to requests, amount of contribution, and the like. Based on the calculated contribution points, the consumer is provided with an incentive (for example, a discount on the electricity bill). Details of the evaluation method will be described later.

(non-immediate demand list)
2 and 3 are diagrams illustrating non-immediate demand lists according to embodiments of the present invention. The non-immediate demand list consists of information (optional) for each consumer that requires power (device subject to demand), whether or not the device or facility is owned, and non-immediate use requests. It is a table containing information indicating whether or not it is possible to meet the request and, if the request can be met, the expected demand amount (Kw/hr) of the equipment. Non-immediate demand lists include those for general households and those for large-scale consumers.

FIG. 2 is a diagram showing an example of a non-immediate demand list for general households. As shown in this figure, for example, if there is an auxiliary battery that can store electricity in the home, the non-immediate use request can be met by charging the storage battery during the requested time period. In addition, when the output of the air conditioner is suppressed in an energy-saving mode or the like, the request can be met by restoring the output only during the requested time period. Also, the charging of an electric vehicle (EV) is a suitable device that can respond to non-immediate use requests. Other equipment (for example, hot water supply equipment, dishwashers, dryers, rice cookers, snow melting machines) can also respond to requests depending on the time and situation, so in addition to the non-immediate demand list, it can be used for controlling HEMS, etc. make it possible. Although not shown in the figure, the availability information includes information on available time zones.

FIG. 3 is a diagram showing an example of a non-immediate demand list for large-volume customers. In this figure, for each consumer, information is shown as to whether or not the facility to be demanded is owned, if so, information as to whether or not it is possible to respond to a non-immediate use request, and whether or not it is possible to respond to the request. If possible, the expected demand (Kw/hr) is included in the list. The information on whether or not the request can be accepted includes information on the time zone in which the request can be made in the same way. The non-immediate demand list is registered not only in the customer system but also in the customer information DB 112 of this system.

Demand targets include, for example, power storage equipment for central heating and cooling, data center control equipment (control of execution of pending jobs in data centers that consume a lot of power for computer calculations), lighting equipment for advertising (Advertisement projection by projection mapping at an advertising agency that consumes a lot of power for lighting), and equipment for controlling the operation rate of a factory (control of manufacturing inventory parts in a factory, etc.). In addition, since a large amount of electricity is used for pumping equipment for hydroelectric power generation, hydroelectric power plants can also be considered large consumers in a broad sense. In addition, even if it is a power plant other than hydroelectric power generation, if it is a facility that requires electricity for power generation (for example, a nuclear waste reprocessing facility, a methane hydrate extraction facility, etc.), it should be included in the demand target. can be done. In other words, power plants and related facilities can also function as consumers.
It should be noted that nuclear power plants also use pumped-storage power generation to adjust the amount of power generation, but this is the opposite.

Since general households have a variety of electric appliances and the fluctuations are drastic, the registration of information on individual appliances in the non-immediate demand list in the consumer information DB 112 may be omitted. However, equipment of a large customer has a large impact on the amount of contribution, and the target equipment is limited, and it can be known in advance from the power usage contract. Further, although illustration is omitted, a "non-immediate suppression list" for when a non-immediate suppression request, which is a power saving request, is issued may also be created.

(Non-immediate demand request processing)
FIG. 4 is a diagram showing the flow of non-immediate demand request processing according to the embodiment of the present invention. This process is performed by the non-immediate demand requesting means 104 . In the following, the non-immediate use request for promoting power demand will be described, but the non-immediate suppression request for suppressing (power saving) power demand is basically the same.

In the non-immediate use request, first, in step S10, it is always determined whether or not there is a prospect of demand shortage after a predetermined time (for example, 30 minutes). If a shortage of demand is expected, the process proceeds to step S11, and a consumer who is likely to respond to the request at the present time is selected according to the amount of shortage of demand. At this time, the non-immediate demand list in the consumer information DB 112 is referred to. If necessary, a request may be sent preferentially to a consumer with a high response rate in view of past performance. Further, even a consumer who is unlikely to respond to the request at this time may be selected as a backup candidate. This is because whether or not the request can be accepted actually changes from moment to moment.
The preliminary candidates are ranked according to the contents of the consumer information, and when the demand is insufficient only by the consumers who have responded to the request, a non-immediate demand request is sent according to the ranking. Further, if it is found that the adjustment is necessary before the above predetermined time, the customer may be notified of a response preparation request for "non-immediate demand". By doing so, it becomes possible to have requests responded to in a timely manner when necessary.

Next, in a non-immediate use request step S12, a use request (power consumption request) is sent to the system of the selected consumer, and a response from the consumer is awaited. If there is a response from the customer's system (step S13: Y), the response information of the customer is recorded in step S14. The response information includes the expected response time, number of responses, and amount of contribution (Kw/hr) to the usage request. Here, the processes of steps S13 and S14 are continued until a predetermined time elapses from the time when the usage request is issued in step S15 (for example, until 10 minutes before the predetermined time in step S10). Within a predetermined period of time, responses may be received from the same consumer any number of times, and updates or cancellations of previous responses may be received.

Finally, in step S16 of the non-immediate use request, the total amount of contribution to the request of the responding consumer is calculated, input to the demand prediction means 101, and reflected in the demand prediction. After that, the process returns to step S10, and the same processing is repeated thereafter.

(Consumer evaluation)
FIG. 5 is a diagram showing an example of a customer rank table according to the embodiment of the present invention. The consumer rank table is a table for evaluating consumers by the consumer evaluation means 106, and is defined for each month or season. The customer rank table includes, as shown, response time, response time rank, available time zone, and difficulty rank. For example, if there is a response within 5 minutes after the request, the response time rank is 1, which is the highest.

In addition, the difficulty level rank increases as the time during which it is possible to respond to a request is generally more difficult. For example, the difficulty rank is low during the hours from 22:00 to 6:00 because it is considered relatively easy to respond, but the difficulty rank is considered to be difficult during the hours from 10:00 to 18:00. set higher. Of course, the difficulty rank varies depending on the season, so the customer rank table is set for each season. That is, even in the same available time slot, the difficulty rank varies depending on the period. FIG. 5 shows an example of summer and winter. It should be noted that the difficulty rank may be determined by using the time period during which requests are actually received instead of the available time period. The contribution points of the customer are calculated by comprehensively judging the response time, the response time rank, the available time zone, and the difficulty rank.

FIG. 6 is a diagram showing an example of a customer evaluation table according to the embodiment of the present invention. The consumer evaluation table is a table obtained by evaluating consumers by the consumer evaluation means 106 based on the above-described consumer rank table. The consumer evaluation table is stored in the consumer information DB 112, and includes, for each consumer ID, the number of contributions (or the number of responses) to requests received by the consumer response receiving means 105, the actual amount of contribution (Kw/hr), Average response time (seconds) is included, and contribution points are calculated from these values according to a predetermined rule. Contribution points may be classified as high, medium, low, etc. according to their value. The customer evaluation means 106 determines an incentive for each customer based on the contribution points calculated during a certain period of time. As shown in the drawing, the customer evaluation table may manage large customers and general households separately and use different evaluation criteria.

By doing this, based on the number of contributions to the request, the amount of contribution and the average response time,
Since the contribution points are calculated, the incentive is higher for the consumer who responds more effectively to the request. In addition, by registering equipment or devices that are demanded by large-scale customers and general households, the usefulness and effectiveness of the system can be enhanced.

The functional configuration and data configuration of the system described above are only examples, and one functional block (database and functional processing unit) may be divided or multiple functional blocks may be combined into one functional block. may Each functional processing unit is a computer program stored in a storage device such as a ROM (Read Only Memory), a flash memory, an SSD (Solid State Drive), a hard disk, etc. and implemented by a computer program executed by the CPU. That is, each functional processing unit reads and writes necessary data such as a table from a database (DB; Data Base) stored in a storage device or a storage area on a memory. It is realized by controlling hardware (for example, an input/output device, a display device, a communication interface device). In addition, the database (DB) in the embodiment of the present invention may be a commercial database, but it also means a mere collection of tables and files, and the internal structure of the database itself does not matter.

(Effect of Embodiment)
According to this system, in addition to restrictively adjusting demand according to the amount of power supply (non-immediate suppression request) as in the past, a mechanism to promote demand according to the amount of supply (non-immediate use request) can be provided. By doing so, it becomes possible to control the double demand response of electric power demand, and to plan for the same amount at the same time.

Moreover, by providing a consumer evaluation means and giving incentives to consumers who respond to the request, the effectiveness of the request can be enhanced. In addition, the consumer evaluation means has a non-immediate demand list that stores whether or not the consumer can respond to a request for each facility owned by the consumer and the predicted demand amount. Since the contribution points are calculated, the incentive is higher for the consumer who responds more effectively to the request. In addition, by registering equipment or devices that are demanded by large-scale customers and general households, the usefulness and effectiveness of the system can be enhanced. Also, by registering power plants and their related facilities, it is possible to include them as large-scale consumers on the side of power consumption.

Although the present invention has been described using the embodiments, it goes without saying that the technical scope of the present invention is not limited to the scope described in the above embodiments. It is obvious to those skilled in the art that various modifications or improvements can be made to the above embodiments. Moreover, it is clear from the description of the scope of the claims that the forms with such modifications or improvements can also be included in the technical scope of the present invention. In the above embodiments, the present invention is described as an invention of a product, but the present invention is not limited to the invention of a method (power demand control method) or the invention of a computer program in the server of this system (power demand control program). ) can also be taken as

100 Power Demand Control System 101 Demand Forecasting Means 102 Measured Value Measuring Means 103 Fluctuation Detecting Means 104 Non-Immediate Demand Requesting Means 105 Consumer Response Receiving Means 106 Consumer Evaluation Means 110 Actual Measured Value DB
111 Demand forecast DB
112 Customer information DB
200 consumer (demand side system)

Claims (5)

A power demand control system for controlling the power demand of consumers within its jurisdiction,
a demand prediction means for predicting the power demand after a predetermined time from at least a measured value DB recording the measured values of the power demand and weather data;
Register whether or not to respond to a non-immediate use request, which is a request to use electricity, and the expected amount of demand (Kw/hr) for each demand target device or facility held by the consumer for each device or facility of the consumer. a non-immediate demand list to
a measured value measuring means for measuring the actual power consumption of the consumer;
variation detection means for detecting variations between the predicted value predicted by the demand forecasting means and the measured value measured by the measured value measuring means;
non-immediate demand request means for transmitting the non-immediate use request to the consumers registered as responsive in the non-immediate demand list when the fluctuation detection means detects that the measured value falls below the predicted value; ,
A power demand control system comprising: The non-immediate demand request means transmits a non-immediate suppression request, which is a power saving request, to the consumer when the fluctuation detection means detects that the measured value exceeds the predicted value. The power demand control system according to claim 1. The non-immediate demand list is configured by dividing the consumers within the jurisdiction into large-scale consumers and general household consumers,
When the customer is a large-scale customer, the equipment or facilities to be demanded include power storage equipment for central heating or cooling, control equipment for data centers, lighting equipment for advertising, control equipment for factory operation rates, and hydroelectric power generation. including at least one of the following:
If the customer is a general household, the equipment or facilities to be demanded include charging auxiliary batteries, restoring the output of air conditioners, hot water supply equipment, dishwashers, dryers, charging electric vehicles, rice cookers, and snow melting machines. The power demand control system of claim 1, comprising at least one of , . A power demand control method for controlling the power demand of consumers within a jurisdiction, comprising:
the computer
a step of predicting the power demand after a predetermined time from at least a measured value DB recording the measured values of the power demand and weather data;
Whether or not to respond to a non-immediate use request, which is a request to use electricity, and the expected demand amount (Kw/hr) for each demand target device or facility held by the consumer subscribing to an immediate demand list;
a step of measuring the actual power usage of the consumer;
a step of detecting a variation value between the predicted value predicted in the predicting step and the measured value measured in the measuring step;
sending the non-immediate use request to the consumer registered as responsive in the non-immediate demand list when the detecting step detects that the measured value is lower than the predicted value;
A power demand control method characterized by performing 5. A power demand control program that causes a computer to execute each step according to claim 4.

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