JP2020191766A - Power management system - Google Patents

Abstract

To improve the probability of successful response to a DR request.SOLUTION: A power management server 10 which is a power management system that controls DR to a consumer 20 who has a power generation device using renewable energy includes a request amount information acquisition unit 11 that acquires request amount information indicating the request amount of DR, a performance information acquisition unit 12 that acquires performance information indicating a performance value of the power generated by the power generation device at a timing related to the power consumption of the consumer 20 used for calculating a baseline, a prediction unit 13 that predicts a value related to the power generated by the power generation device at the timing on the basis of energy information indicating the renewable energy at the timing of the DR, a control power calculation unit 14 that calculates the value related to power to be controlled for the DR from the value related to the request amount information, actual information, and the predicted power generation, and a control unit 15 that controls the DR on the basis of the value related to the power to be controlled.SELECTED DRAWING: Figure 1

Description

The present invention relates to a power management system that controls a demand response to a consumer having a power generation device that generates power from renewable energy.

Due to the increase in power consumption and the increase in renewable energy in society, it is becoming important to adjust the supply and demand for stable power supply. Demand response (DR) can be mentioned as one of the measures. DR is a mechanism in which a power supplier requests a consumer to reduce power consumption or, conversely, temporarily increases power consumption through an aggregator, and pays an incentive according to the response.

The aggregator needs to select an appropriate consumer and issue a control command according to the content of the DR request. Patent Document 1 describes a means for creating a combination of consumers who can most respond to a DR request from past achievements and the like. Further, in Patent Document 1, when a photovoltaic power generation device is installed in a customer, the difference between the planned power generation amount and the current power generation amount is acquired, and the difference will continue to some extent in the future. It has been shown to take into account changes in power generation forecasts.

Japanese Unexamined Patent Publication No. 2016-13540

An aggregator that bundles a plurality of consumers into a DR request (DR request) needs to select a customer according to the DR request and the situation of the customer. If the customer who responds to the DR response has a power generation device, the power generation device can be used to operate the own equipment without depending on commercial power. On the other hand, when not generating electricity, it is necessary to operate its own equipment with commercial power. However, in DR, the success or failure of the DR response is determined by how much the power is suppressed or increased from the reference value based on the power usage status in normal times. This reference value is called the baseline. Therefore, the amount of power that should be truly controlled changes depending on the amount of power generation on the day of the DR response.

On the other hand, it is conceivable to consider the difference between the planned power generation amount and the current power generation amount as shown in Patent Document 1. However, in a power generation device using renewable energy, the amount of power generated varies depending on the state of renewable energy, so that the above difference at the time of DR response may not be sufficiently accurate. Therefore, there is a possibility that the response to the DR request will fail.

The present invention has been made in view of the above, and an object of the present invention is to provide a power management system capable of improving the response success probability to a DR request.

In order to achieve the above object, the power management system according to the present invention is a power management system that controls a demand response to a consumer having a power generation device that generates power by renewable energy, and requests a demand response. The requested amount information acquisition unit that acquires the requested amount information indicating the amount, and the actual information that acquires the actual value indicating the actual value related to the power generated by the power generation device at the timing related to the power consumption of the consumer used for calculating the baseline. An acquisition unit and a prediction unit that acquires energy information indicating renewable energy at the timing targeted for demand response and predicts a value related to the power generated by the power generation device at the timing based on the acquired energy information. , The value related to the power to be controlled for the demand response from the requested amount information acquired by the requested amount information acquisition unit, the actual information acquired by the actual information acquisition unit, and the value related to the generated power predicted by the prediction unit. It includes a control power calculation unit to be calculated, and a control unit to control the demand response based on the value related to the power to be controlled calculated by the control power calculation unit.

In the power management system according to the present invention, the value related to the power generated by the power generation device at the timing of the target of DR is predicted based on the energy information. Then, the value related to the power to be controlled for DR is calculated from the requested amount information, the actual information, and the value related to the predicted generated power, and the control is performed. Therefore, according to the power management system according to the present invention, it is possible to control the DR according to the state of the renewable energy, and it is possible to improve the response success probability to the DR request.

According to the present invention, it is possible to control the DR according to the situation of the renewable energy, and it is possible to improve the response success probability to the DR request.

It is a figure which shows the structure of the electric power management server which is the electric power management system which concerns on embodiment of this invention. It is a figure for demonstrating High 4 of 5 which is a method of determining a baseline. It is a graph which shows the electric energy which must be really controlled in the case of lowered DR. It is a graph which shows the electric energy which must be really controlled in the case of raised DR. It is a figure for demonstrating the selection of the consumer who is the target of DR. It is a flowchart which shows the process executed by the electric power management server which is the electric power management system which concerns on embodiment of this invention. It is a graph which shows the predicted value and the measured value of the amount of solar radiation. It is a figure which shows the error of the controllable electric energy and the power generation amount for each consumer who is a candidate target of DR. It is a figure which shows the controllable electric energy and PV capacity for each consumer which is a candidate of a target of DR. It is a graph of commercial power and expected power generation. It is a graph when the predicted power generation amount is large and the DR response fails. It is a figure which shows the hardware configuration of the area identification system which concerns on embodiment of this invention.

Hereinafter, embodiments of the power management system according to the present invention will be described in detail together with the drawings. In the description of the drawings, the same elements are designated by the same reference numerals, and duplicate description will be omitted.

FIG. 1 shows a power management server 10 which is a power management system according to the present embodiment. The power management server 10 is a system (device) that controls a demand response (DR) to the consumer 20. The power management server 10 is managed and operated by an aggregator. Usually, a plurality of consumers 20 are controlled by the power management server 10. The power management server 10 receives the DR request from the upper aggregator 30 and selects the customer 20 who responds to the DR request from the plurality of consumers 20. The control by the power management server 10 is for successful response to the DR request. That is, the control by the power management server 10 is for the consumer 20 to realize the reduction or increase of the external power related to the DR request. Therefore, the selection of the consumer 20 is performed so as to satisfy the requested amount related to the DR request. The power management server 10 may receive a DR request from a power company that supplies commercial power, which is external power, other than the upper aggregator 30.

The power management server 10 is realized by, for example, a server device. Further, the power management server 10 may be realized by a plurality of server devices, that is, a computer system. The power management server 10 has a communication function, and can transmit and receive information between the consumer 20 and the upper aggregator 30. Further, the power management server 10 can send and receive information to and from an external device via an external network 40 (for example, the Internet or an intranet). The power management server 10 performs the above control based on the information transmitted and received between these devices.

The consumer 20 has a load device that operates by inputting electric power and consuming electric power. The load device is, for example, a communication device such as a base station constituting a mobile communication network. The load device does not have to be a communication device, and may be a device that consumes power. The consumer 20 receives the supply of commercial power from the electric power company and uses it for the operation of the load device.

The consumer 20 has a power generation device that generates power from renewable energy. The power generation device is, for example, a solar power generation device. When the power generation device is a photovoltaic power generation device, the renewable energy is light such as sunlight. The power generation device supplies the electric power obtained by the power generation to the load device. By using the electric power generated by the power generation device, it is possible to reduce the consumption of commercial power by the load device. The power generation device may generate power using renewable energy other than light such as sunlight (for example, wind power). The consumer 20 to be controlled by the power management server 10 may include a consumer 20 who does not have a power generation device. That is, the customer 20 having a power generation device and the customer 20 not having a power generation device may be combined to correspond to the DR response. By including the consumer 20 who does not have a power generation device, the amount of power that can respond to DR can be increased.

Further, the consumer 20 may have a storage battery which is a battery capable of charging and discharging. The storage battery supplies electric power to the load device by discharging the charged (stored) electric power. The electric power from the storage battery is used, for example, when the electric power from the commercial electric power is not input to the load device. The storage battery is charged by inputting commercial power and power from a power generation device.

As shown in FIG. 1, the power management server 10 according to the present embodiment includes a request amount information acquisition unit 11, a performance information acquisition unit 12, a prediction unit 13, a control power calculation unit 14, and a control unit 15. It is composed of.

The request amount information acquisition unit 11 is a functional unit that acquires request amount information indicating the request amount of DR. The request amount information acquisition unit 11 receives (receives) a DR request from the upper aggregator 30. The DR request includes request amount information indicating the request amount of DR. The requested amount of DR is, for example, a value in units of electric energy (kWh). The DR request is for the entire plurality of consumers 20 controlled by the power management server 10.

The DR includes a lower DR that is required to reduce power consumption and an upper DR that is required to increase power consumption. The DR request may also include information indicating whether the DR is related to the lowered DR or the raised DR. In the case of lower DR, the requested amount is the amount of power to be reduced by the plurality of consumers 20 as a whole, and in the case of higher DR, it is the amount of power to be increased by all of the plurality of consumers 20. The decrease and increase of the electric energy related to DR are based on the baseline, which is a reference value, which will be described later.

The DR request is received, for example, on the DR response date, which is the date on which the DR response is performed. Alternatively, the DR request may include information indicating a date that is the timing of the DR request. In addition, the DR request may include information indicating a time zone (during the day) that is the timing of the DR request. In addition, the DR request may include duration information indicating the duration of the request. For example, a DR request may only indicate reduced power (kW or kWh) and duration. The requested amount information acquisition unit 11 outputs the acquired requested amount information to the control power calculation unit 14. In addition, the request amount information acquisition unit 11 notifies the performance information acquisition unit 12 and the prediction unit 13 that the DR request has been received.

The performance information acquisition unit 12 is a functional unit that acquires performance information indicating the performance value related to the power generated by the power generation device at the timing related to the power consumption of the consumer 20 used for calculating the baseline.

The performance information acquisition unit 12 receives and acquires information indicating the power consumption of commercial power of each consumer 20 and information indicating the power generated by the power generation device from each of the plurality of consumers 20. The information indicating the acquired power consumption and the generated power is, for example, time-series information indicating the respective electric energy amounts. For example, it is information on the amount of electric energy every 30 minutes. The performance information acquisition unit 12 may periodically receive and store the above information from each of the plurality of consumers 20 in advance.

The performance information acquisition unit 12 receives a notification from the request amount information acquisition unit 11 that the DR request has been received. Upon receiving the notification, the performance information acquisition unit 12 determines the baseline. As one of the methods for determining the baseline, there is an idea of High 4 of 5, and the performance information acquisition unit 12 determines the baseline by High 4 of 5 as follows, for example. The performance information acquisition unit 12 calculates the sum of the power consumption of the consumer 20 for each date and time of the five days immediately before the DR response date. As shown in FIG. 2, the performance information acquisition unit 12 selects, out of the five days immediately before the DR response date, four days with high power consumption as the baseline target days based on the calculated sum. The performance information acquisition unit 12 calculates the average value of the power consumption of the consumer 20 on the selected baseline target day every 30 minutes (in units of 30 minutes) from the acquired information indicating the power consumption of the commercial power, and obtains the average value. Is the baseline. The baseline target date is the timing related to the power consumption of the consumer 20 used for calculating the baseline. The selection of the baseline target date and the calculation of the baseline may be performed for each customer 20 or collectively for all the customers 20.

The performance information acquisition unit 12 acquires performance information indicating the performance value related to the power generated by the power generation device on the selected baseline target date. The performance information acquisition unit 12 acquires information indicating the amount of power generated by the power generation device (power generation amount) on the baseline target day as the performance information. The performance information acquisition unit 12 calculates the average value of the power generation amount of the consumer 20 on the baseline target day every 30 minutes (in units of 30 minutes) from the information indicating the power generation amount by the acquired power generation device, as in the baseline. .. The calculated value does not have to be an average value every 30 minutes, and may be a value in a unit other than that. The performance information acquisition unit 12 outputs each acquired and calculated information to the control unit 15.

The prediction unit 13 acquires energy information indicating the renewable energy at the timing targeted for DR (the timing of the DR response), and based on the acquired energy information, the value related to the power generated by the power generation device at the timing. It is a functional part that predicts. For example, the prediction unit 13 predicts the amount of power generation as a value related to the generated power.

The prediction unit 13 receives a notification from the request amount information acquisition unit 11 that the DR request has been received. The prediction unit 13 acquires energy information indicating the renewable energy of the timing of the DR response. The energy information is, for example, meteorological information indicating a predicted value of the amount of solar radiation at a place where a power generation device is provided for each customer 20 every 30 minutes on the DR response day. The energy information is not limited to the above information, and may be other information (for example, other weather information) as long as it can predict the value related to renewable energy and generated power. For example, the prediction unit 13 acquires the information from an external device (for example, a server of the Japan Meteorological Agency or a meteorological company) via the external network 40. The prediction unit 13 acquires energy information necessary for predicting a value related to the power generated by the power generation device of each consumer 20.

The prediction unit 13 predicts a value related to the power generated by the power generation device at the timing of the DR response based on the acquired energy information. For example, the prediction unit 13 predicts the amount of power generated by the power generation device of each consumer 20 every 30 minutes. The prediction unit 13 stores in advance a learning model for predicting the amount of power generation based on the energy information, and makes a prediction using the learning model. The learning model is, for example, one obtained from a simple regression analysis or AI (artificial intelligence) obtained by machine learning based on past accumulated data (learning data). The amount of power generation based on the energy information may be predicted by any method other than the above, such as a conventional method. The prediction unit 13 outputs information indicating the amount of power generation obtained by the prediction to the control power calculation unit 14 and the control unit 15. It should be noted that the acquisition of energy information and the prediction of the value related to the generated power may be performed at a fixed time every day, for example, instead of the timing when there is a DR request. By acquiring and forecasting information in advance, even if there is a sudden DR request, the processing time and resource usage can be reduced.

The control power calculation unit 14 describes the DR from the request amount information acquired by the request amount information acquisition unit 11, the actual information acquired by the actual information acquisition unit 12, and the value related to the generated power predicted by the prediction unit 13. It is a functional unit that calculates the value related to the power to be controlled.

The value relating to the power to be controlled for the DR is, for example, the amount of power that must be truly controlled for the DR. FIG. 3 shows the amount of power that must be truly controlled when the DR request is lowered DR, and FIG. 4 shows the amount of power that must be truly controlled when the DR request is raised DR. The amount of power generation and the amount of commercial power used in FIGS. 3 and 4 are the sum of all consumers 20. The amount of power that must be truly controlled is the difference between the amount of power generated on the baseline target day and the amount of power generated at the time of the DR response predicted by the prediction unit 13, plus the requested amount of DR. Assuming that the amount of power consumption is "+" and the amount of suppressed power due to power generation is "-", the amount of power that must be truly controlled is expressed by Equation 1.
The amount of power that must be truly controlled = the amount of power requested by DR + (the amount of power generated on the baseline target day-the amount of power generated on the day of the DR response) Equation 1
The amount of power that must be truly controlled is also the amount of power that should be reduced or increased by the entire plurality of consumers 20 as well as the amount requested by DR.

For example, if the DR request is lowered and the consumption is suppressed (-5kWh), the power generation amount on the baseline target day is (-10kWh), and the predicted power generation amount on the DR response day is (-5kWh), it must be truly controlled. The amount of power that does not become is -5 + {-10- (-5)} = -10. That is, it is necessary to suppress the power consumption of -10 kWh.

If the DR request is raised and the consumption is increased by (+ 7kWh), the power generation amount on the baseline target day is (-10kWh), and the predicted power generation amount on the DR response day is (-15kWh), the power amount that must be truly controlled. Is 5 + {-10- (-15)} = 12. That is, it is necessary to increase the power consumption by 12 kWh.

The control power calculation unit 14 inputs the requested amount information from the requested amount information acquisition unit 11. The control power calculation unit 14 inputs the actual information from the actual information acquisition unit 12. The control power calculation unit 14 inputs information indicating the amount of power generated by the prediction from the prediction unit 13. The control power calculation unit 14 stores the formula 1 in advance, and calculates the amount of power that must be truly controlled based on the formula 1 from each input information.

The calculation of the amount of electric energy that must be truly controlled may be performed, for example, every preset time unit (for example, 30 minutes) in the time zone that is the timing of the DR response. In that case, as the power generation amount on the baseline target day and the power generation amount on the DR response day in Equation 1, the values every 30 minutes can be used as described above. Further, as the requested amount of DR in Equation 1, a value obtained by dividing the total requested amount indicated by the requested amount information so as to be a value in units of 30 minutes is used. In this case, the control by the control unit 15 described later may also be performed in the above time unit. Alternatively, the calculation of the electric energy that must be truly controlled using Equation 1 and the control corresponding thereto may be performed in the entire time zone that is the timing of the DR response as one unit.

The control power calculation unit 14 outputs the calculated information indicating the amount of power that must be truly controlled to the control unit 15.

The control unit 15 is a functional unit that controls the DR based on the value related to the power to be controlled calculated by the control power calculation unit 14. For example, the control unit 15 selects the consumer 20 to be the target of the DR from the plurality of consumers 20 based on the value related to the electric power to be controlled as the control for the DR. Specifically, the control unit 15 performs control as follows.

The control unit 15 inputs information indicating the amount of power that must be truly controlled from the control power calculation unit 14. The control unit 15 calculates the controllable electric energy for each of the plurality of consumers 20. For example, in the case of lowered DR, the control unit 15 calculates the controllable electric energy as follows. The controllable electric energy in this case is the electric energy of commercial electric power required for the consumer 20 to operate the load device when the power generation by the power generation device is taken into consideration. The control unit 15 stores the rated load of the load device for each of the plurality of consumers 20, and calculates the power consumption in the time zone that is the timing of the DR response based on the rated load. Further, the control unit 15 inputs information indicating the power generation amount every 30 minutes by the power generation device of each consumer 20 from the prediction unit 13, and calculates the power generation amount in the time zone which is the timing of the DR response based on the information. To do. The control unit 15 subtracts the amount of power generation from the amount of power consumption to obtain a controllable amount of power.

Further, in the case of raising DR, the control unit 15 calculates (acquires) the controllable electric energy as follows. The controllable electric energy in this case is the electric energy of commercial electric power that can be supplied by the consumer 20 more than operating the load device. By inputting electric power to the storage battery, the consumer 20 can accept the supply of commercial electric power more than operating the load device. The control unit 15 controls from each consumer 20 information related to the free capacity of the storage battery at the start of DR (for example, information indicating the free capacity and charging current information indicating how much the battery can be charged in a unit time). Acquired as information indicating the amount of possible power.

Further, the control unit 15 may predict the power consumption of the consumer 20 at the timing of the DR response, and control the DR based on the predicted power consumption. When the power consumption of the load device of the consumer 20 can fluctuate according to the time, such a configuration may be adopted. The control unit 15 may acquire information about factors that influence fluctuations in the power consumption of the load device and predict power saving based on the information. When the load device is a base station, the information can be a predicted value of the traffic volume at the timing of the DR response. The power consumption prediction itself can be performed by any conventional method. The control unit 15 calculates the controllable electric energy using the predicted power consumption.

As shown in FIG. 5, the control unit 15 generates a combination of a plurality of consumers 20 and calculates the sum of the controllable electric energy for each combination. The control unit 15 compares the amount of power that must be truly controlled with the sum of the amount of controllable power for each combination. For example, the control unit 15 selects (assigns) the consumer 20 having the closest combination of the electric energy that must be truly controlled and the sum of the controllable electric energy as the consumer 20 that is the target of DR.

As for the combinations of the consumers 20, all combinations may be generated, or only some combinations may be generated under certain conditions. Further, in the selection of the consumer 20, the sum of the electric energy that must be truly controlled and the sum of the controllable electric energy is not the closest combination, for example, the sum of the controllable electric energy is truly controlled. They may be the closest combination, as long as they do not fall below the amount of power that must be done.

Further, for example, when the DR response is successful when the amount of power is reduced or increased in a certain range with respect to the requested amount of DR, a certain amount of power that must be truly controlled is used as a reference. A combination may be selected in which the range includes the sum of controllable electric energy. For example, it may be possible to select a combination in which the sum of the controllable electric energy is included in the range of ± 10% of the requested amount of DR, centering on the electric energy that must be truly controlled. This is such that the amount of reduction or increase in power consumption is within 90% to 110% of the requested amount (target amount) of DR with reference to the baseline.

Information on the consumer 20 other than the above may be used for selecting the consumer 20 to be the target of the DR. For example, the customer 20 may be selected according to the location address of the customer 20, the device configuration, the type of storage battery, the state of the device, the type of the power generation device, the service type, the service range, and the like. For example, if the load device of the customer 20 is a base station and there are a plurality of customers 20 that can be selected and have the same power-related conditions, the load device of the customer 20 is close to the already selected customer 20 in consideration of service redundancy. Customers 20 may not be selected, customers 20 who provide the same service may not be selected, or customers whose service ranges overlap may not be selected. These pieces of information may be sequentially received from the consumer 20, or may be input and edited by the administrator of the power management server 10 or the like in the power management server 10. Further, the attribute information of the consumer 20 such as the importance of the consumer 20 and whether or not it is the target of DR may be used for the selection of the consumer 20.

The control unit 15 transmits a control command for responding to the DR request to the selected consumer 20 as control for the DR. The consumer 20 who has received the control command makes a DR response. For example, in the case of lowered DR, the consumer 20 responds by stopping the acceptance of commercial power, stopping the operation of the load device (turning off the load device), or loading with the power from the power generation device and the storage battery. Take measures such as operating the device. If the operation of the load device is not stopped, the candidate customer 20 for DR is limited to the customer 20 who has a sufficient remaining amount of the storage battery capable of operating the load device without using commercial power. May be. Further, in the case of raised DR, the consumer 20 charges the storage battery with the supplied commercial power.

The control unit 15 may remotely and directly control the device of the consumer 20 as the control for the DR. The direct control is, for example, the same control as the control by the consumer 20 who has received the above control command. The above is the function of the power management server 10 according to the present embodiment.

Subsequently, the process executed by the power management server 10 according to the present embodiment (operation method performed by the power management server 10) will be described with reference to the flowchart of FIG. In this process, first, the request amount information acquisition unit 11 receives and acquires a DR request including request amount information indicating the request amount of DR from the upper aggregator 30 (S01). Subsequently, the performance information acquisition unit 12 acquires power information indicating the power consumption of commercial power by each consumer 20 and the power generated by the power generation device (S02). Subsequently, the performance information acquisition unit 12 selects the baseline target date and calculates the baseline based on the acquired power information, and also performs the unit time of the baseline target date (for example, the above-mentioned 30 minutes). The average value of the amount of power generated per hit is calculated as actual information (S03).

Subsequently, the prediction unit 13 acquires energy information indicating the renewable energy at the timing of the DR response (S04). Subsequently, the prediction unit 13 predicts the amount of power generated by the power generation device at that timing based on the energy information (S05). Subsequently, the DR is obtained from the requested amount information acquired by the requested amount information acquisition unit 11 by the control power calculation unit 14, the actual information acquired by the actual information acquisition unit 12, and the power generation amount predicted by the prediction unit 13. The amount of power that must be truly controlled, which is a value related to the power to be controlled, is calculated (S06). Subsequently, the control unit 15 controls the DR based on the amount of electric energy that must be truly controlled (S07). The above is the process executed by the power management server 10 according to the present embodiment.

In the above-described embodiment, the amount of power generated by the power generation device at the timing of the DR response is predicted based on the energy information. Then, a value related to the electric power to be controlled for the DR is calculated from the requested amount information, the actual result information, and the predicted power generation amount, and the control is performed. Therefore, according to the embodiment, it is possible to control the DR according to the situation of the renewable energy, and it is possible to improve the response success probability to the DR request. After calculating the amount of power that must be truly controlled once, the amount of power that must be truly controlled by acquiring energy information again and predicting the amount of power generation before actually performing the DR response. May be calculated. In general, energy information such as meteorological information becomes more accurate as the prediction target time approaches, so the probability of successful response to a DR request can be further improved by updating it sequentially.

Further, as in the present embodiment, a consumer to be DR may be selected from a plurality of consumers 20 based on the amount of electric power that must be truly controlled. According to this configuration, it is possible to appropriately and surely improve the response success probability in response to a DR request to a plurality of consumers 20. However, the control based on the amount of electric energy that must be truly controlled is not necessarily limited to the above, and any control may be performed as long as it improves the probability of successful response to the DR request.

In the present embodiment, the requested amount of DR, the actual value related to the generated power related to the actual information, the predicted generated power, and the amount of power that must be truly controlled are all units of electric energy (kWh). However, it does not necessarily have to be a unit of electric energy, and may be changed according to the content requested by DR. For example, it may be a unit of electric power (kW).

Subsequently, a modified example of the present embodiment will be described. The following modifications may be implemented in combination as long as they do not conflict with each other.

<Modification example 1>
In the above-described embodiment, the energy information used for predicting the amount of power generated by the prediction unit 13 is meteorological information indicating the predicted value of the amount of solar radiation acquired from an external device (for example, a server of the Japan Meteorological Agency or a meteorological company). .. However, usually, the meteorological information shows the predicted value of the area divided by the mesh, not the predicted value at the pinpoint of the location of the customer 20.

Therefore, the prediction unit 13 may acquire the sensor information indicating the renewable energy measured by the sensor provided in the consumer 20 and acquire the energy information based on the acquired sensor information. For example, the following configuration may be adopted.

上記の式におけるＲｎは、過去の項番ｎのタイミングにおける３０分単位の日射量の予測値、Ｓｎは、過去の項番ｎのタイミングにおける３０分単位の日射量の実測値、ｎはタイミングの数である。 The sensor provided in the consumer 20 is a sensor that measures the amount of solar radiation. The sensor measures, for example, the amount of solar radiation every 30 minutes. The sensor information indicating the amount of solar radiation measured by the sensor is transmitted from the consumer 20 to the power management server 10. The prediction unit 13 receives and acquires sensor information indicating the transmitted amount of solar radiation. The prediction unit 13 acquires the weather information indicating the predicted value of the amount of solar radiation at the timing of every 30 minutes corresponding to the sensor information in the same manner as in the above-described embodiment. As shown in FIG. 7, the prediction unit 13 calculates a prediction error which is a difference between the predicted value of the amount of solar radiation indicated by the weather information and the measured value of the amount of solar radiation indicated by the sensor information, and calculates the average of them. .. For example, the average prediction error is calculated by the following formula.

In the above formula, Rn is the predicted value of the amount of solar radiation in 30-minute units at the timing of the past item number n, Sn is the measured value of the amount of solar radiation in units of 30 minutes at the timing of the past item number n, and n is the measured value of the amount of solar radiation in 30-minute units. It is a number.

The prediction unit 13 acquires meteorological information indicating a predicted value of the amount of solar radiation every 30 minutes on the DR response date, as in the above-described embodiment. The prediction unit 13 uses a value obtained by subtracting the average prediction error from the predicted value of the amount of solar radiation indicated by the acquired weather information as the value of the amount of solar radiation used for predicting the amount of power generation. That is, the prediction unit 13 corrects the predicted value of the amount of solar radiation indicated by the acquired meteorological information by the average prediction error. After the prediction of the amount of power generation, the same as the above-described embodiment may be used.

According to this configuration, the amount of power that must be truly controlled can be estimated more accurately, and the accuracy of the DR response can be improved.

The sensor information is not limited to the above, but is any kind as long as it indicates the renewable energy measured by the sensor provided in the consumer 20 and can affect the power generation by the power generation device. May be used. Further, the method of using the sensor information is not limited to the above, and any method may be used as long as it improves the accuracy of the DR response.

<Modification 2>
Since the power generation amount prediction at the timing of the DR response is performed based on the predicted weather information such as the predicted value of the solar radiation amount, the accuracy of the prediction varies depending on the time and place. If the difference between the predicted power generation amount and the actual power generation amount becomes large, the DR response may fail. Therefore, the control unit 15 acquires the past predicted value and the actual value related to the power generated by the power generation device owned by the consumer 20, and selects the consumer 20 based on the degree of matching between the predicted value and the actual value. May be.

The past predicted value can be obtained, for example, by the prediction unit 13 predicting the amount of power generation in the same manner as described above for the baseline target date. Further, the predicted value at other timings may be acquired. As the past actual value, the actual information related to the baseline target date acquired by the actual information acquisition unit 12 can be used. The control unit 15 calculates an error (for example, an absolute value) between the past predicted value and the actual value at the same timing as the above-mentioned matching degree. The smaller the error, the greater the degree of matching. The control unit 15 may calculate an average value of errors at a plurality of timings and use it as the above-mentioned degree of matching. The control unit 15 calculates the error in the amount of power generation for each customer 20.

This will be described with reference to FIG. It is assumed that there are three consumers A, B, and C, and the amount of electric energy that must be truly controlled calculated based on the DR request from the upper aggregator 30 is 15 kWh. The control unit 15 selects a candidate combination of the consumer 20 that satisfies the DR request based on the controllable electric energy. For example, the control unit 15 may select a combination in which the sum of the controllable electric energy is included in a certain range based on the electric energy that must be truly controlled as a candidate for the above combination. ..

The control unit 15 selects the consumer 20 of the combination having the smallest sum of errors in the amount of power generation among the candidates for the combination as the consumer 20 to be the target of DR. In the example shown in FIG. 8, the candidates for the combination of the consumer 20 satisfying the DR request are A + B and A + C. Since the error in the amount of power generation is B> C, the control unit 15 selects the consumers A and C as the consumers 20 to be DR.

As described above, the consumer 20 is weighted according to the error in the amount of power generation, and the customer with a large weight is preferentially targeted for DR, so that the possibility of successful DR response can be increased.

<Modification example 3>
The amount of power generation predicted by the prediction unit 13 greatly affects the success or failure of the DR response because the fluctuation when the prediction is wrong increases according to the scale of the power generation device owned by the consumer 20. Therefore, the control unit 15 may select the consumer based on the scale of the power generation device possessed by the consumer 20. The control unit 15 stores in advance information indicating the scale of the power generation device possessed by the consumer 20. For example, when the power generation device is a photovoltaic power generation device, the scale of the power generation device is PV (Photovoltaics) capacity (kW).

This will be described with reference to FIG. It is assumed that there are three consumers A, B, and C, and the amount of electric energy that must be truly controlled calculated based on the DR request from the upper aggregator 30 is 15 kWh. Similar to the second modification, the control unit 15 selects a candidate combination of the consumer 20 that satisfies the DR request based on the controllable electric energy. The control unit 15 selects the consumer 20 of the combination having the smallest sum of PV capacities among the combination candidates as the consumer 20 to be the target of DR. In the example shown in FIG. 9, the candidates for the combination of the consumer 20 satisfying the DR request are A + B and A + C. Since the sum of the PV capacities is A + B> A + C, the control unit 15 selects the consumers A and C as the consumers 20 to be DR.

As described above, the consumer 20 is weighted according to the scale of the power generation device, and the consumer with a large weight is preferentially targeted for DR, thereby reducing the amount of power generation that may fluctuate and succeeding in DR response. Can increase the possibility of.

<Modification example 4>
If, for example, a sudden change in the weather is expected at the timing of the DR response, or if external information cannot be obtained due to a network malfunction, the amount of power generation cannot be accurately predicted and the possibility of the DR response failing increases. Therefore, the control unit 15 may turn on / off the power generation device according to the prediction of the generated power by the prediction unit 13.

This will be described with reference to FIG. As a result of predicting the amount of power generation for a certain customer 20 by the prediction unit 13, there is a time zone in which the amount of power generation fluctuates greatly and the information used for the prediction cannot be obtained and cannot be predicted. , If control is performed based on this predicted value, there is a high possibility that the DR response will fail. Therefore, the control unit 15 compares the fluctuation range of the predicted value (for example, the deviation from the average value of each predicted value) with the preset threshold value, and when the fluctuation range exceeds the threshold value, the timing of the DR response. The power generation device of the customer 20 is turned off to stop the operation. Further, when the predicted value has a data loss, the control unit 15 turns off the power generation device of the consumer 20 at the timing of the DR response and stops the operation. By stopping the operation, the value of the predicted power generation amount can be set to "0", and it becomes easy to predict the amount of commercial power used by the consumer 20 at the timing of the DR response.

In DR, the control time unit is usually set to 30 minutes / frame. In this case, since the success or failure of the response is determined for each frame, the power generation device may be stopped only for the frame with a large fluctuation in the predicted power generation amount or the frame with a large amount of data loss.

In this way, for the consumer 20 whose power generation amount cannot be accurately predicted, by stopping the power generation device, it is possible to respond to the DR response without considering the fluctuation of the power generation amount, and the possibility of successful DR response is increased. be able to.

<Modification 5>
If the difference between the predicted power generation amount at the timing of the DR response and the power generation amount on the baseline target date exceeds the requested amount of DR, it is necessary to adjust the power generation amount in order to perform the DR response. This will be described with reference to an example in the case of the lowered DR shown in FIG. The amount of power generation and the amount of commercial power used in FIG. 11 are the sum of all the consumers 20 as in FIGS. 3 and 4. As shown in FIG. 11, when the difference obtained by subtracting the power generation amount on the baseline target date from the predicted power generation amount at the DR response timing exceeds the DR request amount, the DR response timing is required to perform the DR response. It is necessary to reduce the amount of power generated in Japan by the excess amount of control. This is because the DR response fails if the commercial power is reduced more than the required amount of DR.

If the DR response is not performed, the purchase cost of commercial costs will be reduced by generating the predicted value of power generation, but on the other hand, the incentive for the successful DR response cannot be received. When the cost merit obtained by the incentive is larger than the cost merit obtained by the power generation by the power generation device of each consumer 20, the consumer responds to the DR request by adjusting the amount of power generated by the power generation device and responding to the DR. It is possible to take beneficial measures for 20.

The control unit 15 may determine whether or not a DR response is possible under certain conditions as described above. Specifically, the control unit 15 acquires information indicating the cost of commercial power used by the consumer 20 and the consideration when the DR response is successful, and is based on the acquired information and the value related to the power to be controlled. It may be judged whether or not the DR response is possible. For example, in the case of lowered DR, the control unit 15 determines whether or not the DR response is possible as follows.

The control unit 15 determines whether or not a control excess amount due to the predicted power generation amount has occurred with respect to the requested amount of DR. As shown in FIG. 11, when the DR request is lowered DR but the amount of power that must be truly controlled is to increase the power, it is considered that an excess control amount has occurred. The control unit 15 makes the above determination based on the amount of electric energy that must be truly controlled. When it is determined that the control excess amount has not occurred, the control unit 15 determines that a DR response is to be made, and performs control according to the above-described embodiment.

When the control unit 15 determines that the control excess amount has occurred, the control unit 15 determines whether or not the DR response is possible as follows. The control unit 15 estimates the purchase cost of commercial power for the excess control amount. As described above, when performing a DR response, an incentive can be obtained when the DR response is successful, but it is necessary to reduce the amount of power generated by the power generation device of the consumer 20 by the amount exceeding the control and use commercial power. is there. The purchase cost can be calculated by multiplying the amount of electric power (kWh) corresponding to the excess control amount by the unit amount of electric power (yen / kWh). The control unit 15 acquires information indicating the electric power unit price from the consumer 20 and stores it in advance, and calculates the purchase cost using the information. If the electricity unit price differs depending on the consumer 20, even if the purchase cost is calculated so that the sum of the predicted values is the control excess amount of the electricity unit price of the consumer 20 × the predicted power generation amount of the consumer 20. Good. In this case, the calculation may be performed from the consumer 20 having a low unit price of electric power (that is, the consumer 20 who should preferentially use commercial power). For example, suppose that there are three consumers A, B, and C having an electric energy amount of 10 kW and a predicted power generation amount of 5 kW, and the electric power unit price increases in the order of the consumers A, B, and C. In that case, since the total of the predicted electric energy of consumers A and B with a low electric energy unit is the electric energy for the control excess amount, the total of the electric energy unit of consumers A and B x the estimated power generation amount is regarded as the purchase cost. To do.

In addition, the control unit 15 estimates an incentive (yen) when the DR response is successful. The incentive can be estimated from, for example, the amount of suppressed power when the DR response is performed in the past and the obtained incentive. Alternatively, if the DR request contains information indicating an incentive, it may be estimated from that information.

The control unit 15 compares the cost merit when the DR response is not performed with the cost merit when the DR response is performed. The cost merit when the DR response is not performed is the above-mentioned purchase cost. The cost advantage of making a DR response is an incentive.

The control unit 15 determines that the DR response is not performed when the cost merit of not performing the DR response is high, that is, when the following relationship is satisfied.
Purchase cost> Incentive formula 2
In this case, the control unit 15 performs processing such as notifying the upper aggregator 30 that the DR response is not performed.

The control unit 15 determines that the DR response is performed when the cost merit in performing the DR response is high, that is, when the following relationship is satisfied.
Purchase cost <Incentive formula 3
In this case, the control unit 15 selects the consumer 20 to stop the power generation by the power generation device so that the total predicted power generation amount does not exceed the control amount. For example, the consumer 20 related to the unit price of electric power used for calculating the purchase cost is selected as the consumer 20 for stopping the power generation by the power generation device. The control unit 15 stops the power generation device of the selected consumer 20 and performs a process for performing a DR response.

By adopting such a configuration, it is possible to operate the power generation device and perform a DR response in consideration of cost merit in response to the DR request, that is, to take a beneficial response for the consumer 20.

The block diagram used in the description of the above embodiment shows a block of functional units. These functional blocks (components) are realized by any combination of at least one of hardware and software. Further, the method of realizing each functional block is not particularly limited. That is, each functional block may be realized by using one device that is physically or logically connected, or directly or indirectly (for example, by using two or more physically or logically separated devices). , Wired, wireless, etc.) and may be realized using these plurality of devices. The functional block may be realized by combining the software with the one device or the plurality of devices.

Functions include judgment, decision, judgment, calculation, calculation, processing, derivation, investigation, search, confirmation, reception, transmission, output, access, solution, selection, selection, establishment, comparison, assumption, expectation, and assumption. There are broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocating, mapping, assigning, etc., but only these. I can't. For example, a functional block (constituent unit) for functioning transmission is called a transmitting unit or a transmitter. As described above, the method of realizing each of them is not particularly limited.

For example, the power management server 10 in one embodiment of the present disclosure may function as a computer that performs the processing of the method of the present disclosure. FIG. 12 is a diagram showing an example of the hardware configuration of the power management server 10 according to the embodiment of the present disclosure. The power management server 10 described above may be physically configured as a computer device including a processor 1001, a memory 1002, a storage 1003, a communication device 1004, an input device 1005, an output device 1006, a bus 1007, and the like.

In the following description, the word "device" can be read as a circuit, device, unit, or the like. The hardware configuration of the power management server 10 may be configured to include one or more of the devices shown in the figure, or may be configured not to include some of the devices.

Each function in the power management server 10 is performed by the processor 1001 performing calculations by loading predetermined software (program) on hardware such as the processor 1001 and the memory 1002, and controlling communication by the communication device 1004, or memory. It is realized by controlling at least one of reading and writing of data in the 1002 and the storage 1003.

Processor 1001 operates, for example, an operating system to control the entire computer. The processor 1001 may be configured by a central processing unit (CPU) including an interface with a peripheral device, a control device, an arithmetic unit, a register, and the like. For example, each function in the power management server 10 described above may be realized by the processor 1001.

Further, the processor 1001 reads a program (program code), a software module, data, and the like from at least one of the storage 1003 and the communication device 1004 into the memory 1002, and executes various processes according to these. As the program, a program that causes a computer to execute at least a part of the operations described in the above-described embodiment is used. For example, each function in the power management server 10 may be realized by a control program stored in the memory 1002 and operating in the processor 1001. Although it has been explained that the various processes described above are executed by one processor 1001, they may be executed simultaneously or sequentially by two or more processors 1001. Processor 1001 may be implemented by one or more chips. The program may be transmitted from the network via a telecommunication line.

The memory 1002 is a computer-readable recording medium, and is composed of at least one such as a ROM (Read Only Memory), an EPROM (Erasable Programmable ROM), an EPROM (Electrically Erasable Programmable ROM), and a RAM (Random Access Memory). May be done. The memory 1002 may be referred to as a register, a cache, a main memory (main storage device), or the like. The memory 1002 can store a program (program code), a software module, or the like that can be executed to carry out the method according to the embodiment of the present disclosure.

The storage 1003 is a computer-readable recording medium, for example, an optical disk such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disk, a magneto-optical disk (for example, a compact disk, a digital versatile disk, a Blu-ray). It may consist of at least one (registered trademark) disk), smart card, flash memory (eg, card, stick, key drive), floppy (registered trademark) disk, magnetic strip, and the like. The storage 1003 may be referred to as an auxiliary storage device. The storage medium described above may be, for example, a database, server or other suitable medium containing at least one of memory 1002 and storage 1003.

The communication device 1004 is hardware (transmission / reception device) for communicating between computers via at least one of a wired network and a wireless network, and is also referred to as, for example, a network device, a network controller, a network card, a communication module, or the like. Communication device 1004 includes, for example, a high frequency switch, a duplexer, a filter, a frequency synthesizer, etc. in order to realize at least one of frequency division duplex (FDD) and time division duplex (TDD). It may be composed of. For example, each function in the power management server 10 described above may be realized by the communication device 1004.

The input device 1005 is an input device (for example, a keyboard, a mouse, a microphone, a switch, a button, a sensor, etc.) that receives an input from the outside. The output device 1006 is an output device (for example, a display, a speaker, an LED lamp, etc.) that outputs to the outside. The input device 1005 and the output device 1006 may have an integrated configuration (for example, a touch panel).

Further, each device such as the processor 1001 and the memory 1002 is connected by a bus 1007 for communicating information. The bus 1007 may be configured by using a single bus, or may be configured by using a different bus for each device.

Further, the power management server 10 includes hardware such as a microprocessor, a digital signal processor (DSP: Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), a PLD (Programmable Logic Device), and an FPGA (Field Programmable Gate Array). It may be configured by, and a part or all of each functional block may be realized by the hardware. For example, processor 1001 may be implemented using at least one of these hardware.

The notification of information is not limited to the embodiments / embodiments described in the present disclosure, and may be performed by other methods. For example, information notification includes physical layer signaling (for example, DCI (Downlink Control Information), UCI (Uplink Control Information)), upper layer signaling (for example, RRC (Radio Resource Control) signaling, MAC (Medium Access Control) signaling, etc. It may be carried out by notification information (MIB (Master Information Block), SIB (System Information Block)), other signals, or a combination thereof. Further, the RRC signaling may be referred to as an RRC message, and may be, for example, an RRC Connection Setup message, an RRC Connection Reconfiguration message, or the like.

The order of the processing procedures, sequences, flowcharts, and the like of each aspect / embodiment described in the present disclosure may be changed as long as there is no contradiction. For example, the methods described in the present disclosure present elements of various steps using exemplary order, and are not limited to the particular order presented.

The input / output information and the like may be stored in a specific location (for example, a memory), or may be managed using a management table. Input / output information and the like can be overwritten, updated, or added. The output information and the like may be deleted. The input information or the like may be transmitted to another device.

The determination may be made by a value represented by 1 bit (0 or 1), by a boolean value (Boolean: true or false), or by comparing numerical values (for example, a predetermined value). It may be done by comparison with the value).

Each aspect / embodiment described in the present disclosure may be used alone, in combination, or switched with execution. Further, the notification of predetermined information (for example, the notification of "being X") is not limited to the explicit one, but is performed implicitly (for example, the notification of the predetermined information is not performed). May be good.

Although the present disclosure has been described in detail above, it is clear to those skilled in the art that the present disclosure is not limited to the embodiments described in the present disclosure. The present disclosure may be implemented as an amendment or modification without departing from the purpose and scope of the present disclosure, which is determined by the description of the scope of claims. Therefore, the description of this disclosure is for purposes of illustration and does not have any restrictive meaning to this disclosure.

Software is an instruction, instruction set, code, code segment, program code, program, subprogram, software module, whether called software, firmware, middleware, microcode, hardware description language, or another name. , Applications, software applications, software packages, routines, subroutines, objects, executable files, execution threads, procedures, features, etc. should be broadly interpreted to mean.

Further, software, instructions, information and the like may be transmitted and received via a transmission medium. For example, a website, where the software uses at least one of wired technology (coaxial cable, fiber optic cable, twist pair, Digital Subscriber Line (DSL), etc.) and wireless technology (infrared, microwave, etc.). When transmitted from a server, or other remote source, at least one of these wired and wireless technologies is included within the definition of transmission medium.

The information, signals, etc. described in the present disclosure may be represented using any of a variety of different techniques. For example, data, instructions, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description may be voltage, current, electromagnetic waves, magnetic fields or magnetic particles, light fields or photons, or any of these. It may be represented by a combination of.

The terms described in the present disclosure and the terms necessary for understanding the present disclosure may be replaced with terms having the same or similar meanings. For example, at least one of a channel and a symbol may be a signal (signaling). Also, the signal may be a message. Further, the component carrier (CC: Component Carrier) may be referred to as a carrier frequency, a cell, a frequency carrier, or the like.

The terms "system" and "network" used in this disclosure are used interchangeably.

Further, the information, parameters, etc. described in the present disclosure may be expressed using absolute values, relative values from predetermined values, or using other corresponding information. It may be represented. For example, the radio resource may be indexed.

The names used for the above parameters are not limited in any way. Further, mathematical formulas and the like using these parameters may differ from those explicitly disclosed in this disclosure. Since the various channels (eg, PUCCH, PDCCH, etc.) and information elements can be identified by any suitable name, the various names assigned to these various channels and information elements are in any respect limited names. is not.

The terms "determining" and "determining" as used in this disclosure may include a wide variety of actions. "Judgment" and "decision" are, for example, judgment (judging), calculation (calculating), calculation (computing), processing (processing), derivation (deriving), investigating (investigating), search (looking up, search, inquiry). It may include (eg, searching in a table, database or another data structure), ascertaining as "judgment" or "decision". Also, "judgment" and "decision" are receiving (for example, receiving information), transmitting (for example, transmitting information), input (input), output (output), and access. (Accessing) (for example, accessing data in memory) may be regarded as "judgment" or "decision". In addition, "judgment" and "decision" mean that "resolving", "selecting", "choosing", "establishing", "comparing", etc. are regarded as "judgment" and "decision". Can include. That is, "judgment" and "decision" may include that some action is regarded as "judgment" and "decision". Further, "judgment (decision)" may be read as "assuming", "expecting", "considering" and the like.

The terms "connected", "coupled", or any variation thereof, mean any direct or indirect connection or connection between two or more elements, and each other. It can include the presence of one or more intermediate elements between two "connected" or "combined" elements. The connection or connection between the elements may be physical, logical, or a combination thereof. For example, "connection" may be read as "access". As used in the present disclosure, the two elements use at least one of one or more wires, cables and printed electrical connections, and, as some non-limiting and non-comprehensive examples, the radio frequency domain. Can be considered to be "connected" or "coupled" to each other using electromagnetic energies having wavelengths in the microwave and light (both visible and invisible) regions.

The phrase "based on" as used in this disclosure does not mean "based on" unless otherwise stated. In other words, the statement "based on" means both "based only" and "at least based on".

Any reference to elements using designations such as "first", "second" as used in this disclosure does not generally limit the quantity or order of those elements. These designations can be used in the present disclosure as a convenient way to distinguish between two or more elements. Thus, references to the first and second elements do not mean that only two elements can be adopted, or that the first element must somehow precede the second element.

When "include", "including" and variations thereof are used in the present disclosure, these terms are as comprehensive as the term "comprising". Is intended. Furthermore, the term "or" used in the present disclosure is intended not to be an exclusive OR.

In the present disclosure, if articles are added by translation, for example a, an and the in English, the disclosure may include the nouns that follow these articles in the plural.

In the present disclosure, the term "A and B are different" may mean "A and B are different from each other". The term may mean that "A and B are different from C". Terms such as "separate" and "combined" may be interpreted in the same way as "different".

10 ... Power management server, 11 ... Requested amount information acquisition unit, 12 ... Performance information acquisition unit, 13 ... Prediction unit, 14 ... Control power calculation unit, 15 ... Control unit, 20 ... Consumer, 30 ... Top aggregator, 40 ... External network, 1001 ... processor, 1002 ... memory, 1003 ... storage, 1004 ... communication device, 1005 ... input device, 1006 ... output device, 1007 ... bus.

Claims (8)

It is a power management system that controls the demand response to consumers who have a power generation device that generates power from renewable energy.
A request amount information acquisition unit that acquires request amount information indicating the request amount of the demand response, and
A performance information acquisition unit that acquires performance information indicating the performance value of the power generated by the power generation device at the timing of power consumption of the consumer used for calculating the baseline.
A prediction unit that acquires energy information indicating renewable energy at the timing targeted for the demand response and predicts a value related to the power generated by the power generation device at the timing based on the acquired energy information.
From the requested amount information acquired by the requested amount information acquisition unit, the actual information acquired by the actual result information acquisition unit, and the value related to the generated power predicted by the forecasting unit, the power to be controlled for the demand response is obtained. The control power calculation unit that calculates the relevant value,
A control unit that controls the demand response based on the value related to the power to be controlled calculated by the control power calculation unit.
Power management system equipped with. The power management system according to claim 1, wherein the prediction unit acquires sensor information indicating renewable energy measured by a sensor provided in the consumer, and acquires energy information based on the acquired sensor information. The consumers who can be the target of the demand response are a plurality of consumers.
The electric power management system according to claim 1 or 2, wherein the control unit selects a consumer to be a target of the demand response from a plurality of consumers based on a value related to the electric power to be controlled. The power management according to claim 3, wherein the control unit acquires past predicted values and actual values related to the power generated by the power generation device, and selects a consumer based on the degree of matching between the predicted values and the actual values. system. The power management system according to claim 3 or 4, wherein the control unit selects a customer based on the scale of the power generation device owned by the customer. The power management system according to any one of claims 1 to 5, wherein the control unit turns on / off the power generation device according to the prediction of the generated power by the prediction unit. The control unit acquires information indicating the cost of the external power used by the consumer and the consideration when the demand response is successful, and the demand response is based on the acquired information and the value related to the power to be controlled. The electric power management system according to any one of claims 1 to 6, which determines whether or not a response to the electric power can be performed. The control unit predicts the power consumption of the consumer at the timing of the demand response, and controls the demand response based on the predicted power consumption. Any one of claims 1 to 7. The power management system described in the section.

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