Power management system and power management method

Abstract

To secure convenience of a user when a storage battery is included as power adjustment resources.SOLUTION: In planned control, an energy management server 2 holds control right of a HEMS10 and controls the HEMS10 based on a power demand-supply plan formulated in advance. In edge control, a HEMS controller 15 holds control right of the HEMS10, and controls the HEMS10 based on an actual situation of surplus power and demanded power of the HEMS10. The HEMS10 includes an electric vehicle 12 (a storage battery). When it is predicted that an actual SOC of the electric vehicle 12 is insufficient with respect to a target SOC at a scheduled departure time of the electric vehicle 12 during execution of the edge control, the energy management server 2 switches power management control from the edge control to the planned control.SELECTED DRAWING: Figure 4

Description

[Technical field]

[0001] The present disclosure relates to power management systems and methods, and more particularly to systems and methods for managing power demand and supply in a power grid that includes multiple power regulating resources. [Background technology]

[0002] Japanese Patent Application Laid-Open Publication No. 2016-187254 (Patent Document 1) discloses a method for controlling a storage battery with little power loss of electricity generated using renewable energy, and a method for controlling a water heater that can be controlled so that the power does not fall below the minimum required value. Patent Document 1 also describes the calculation of a prediction error of prediction data using operation plan data of the storage battery and actual operation performance data. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2016-187254 A Summary of the Invention [Problem to be solved by the invention]

[0004] In a power grid that includes multiple power adjustment resources, the actual power supply and demand of some power adjustment resources (for example, a home energy management system described below) may not only fluctuate in accordance with the power supply and demand plan, but may also deviate from the power supply and demand plan.

[0005] In the case where a storage battery (for example, an electric vehicle configured to be rechargeable by power supplied from a charging facility outside the vehicle) is included as a power adjustment resource, there is a possibility that the storage battery cannot be sufficiently charged when the amount of power generated by a photovoltaic power generation facility or the like falls below a predicted amount. Even in such a case, it is desirable not to impair user convenience.

[0006] The present disclosure has been made to solve the above problems, and one of the objectives of the present disclosure is to ensure user convenience when a storage battery is included as a power adjustment resource. [Means for solving the problem]

[0007] A power management system according to an aspect of the present disclosure manages power supply and demand in a power network including a plurality of power adjustment resources. The power management system includes a controller that charges or discharges a corresponding resource that is a corresponding power adjustment resource among the plurality of power adjustment resources, and a server that sets power management control by the controller for the corresponding resource. The power management control includes a first control and a second control. In the first control, the server holds control rights for the corresponding resource and controls the corresponding resource based on a power supply and demand plan that is formulated in advance. In the second control, the controller holds the control rights and controls the corresponding resource based on the actual status of the surplus power and the demand power of the corresponding resource. The corresponding resource includes a storage battery configured to be chargeable by power supplied from an external charging facility. During execution of the second control, the server switches the power management control from the second control to the first control when it is predicted that the actual SOC of the storage battery will be insufficient for a target SOC at a scheduled time of use of the storage battery.

[0008] A power management method according to another aspect of the present disclosure manages power supply and demand in a power network including a plurality of power adjustment resources. The power management method includes a step of setting, by a server, power management control by a controller for a corresponding resource that is a corresponding power adjustment resource among the plurality of power adjustment resources. The power management control includes a first control and a second control. In the first control, a server holds control rights for the corresponding resource, and controls the corresponding resource based on a power supply and demand plan formulated in advance. In the second control, a controller holds control rights for the corresponding resource, and controls the corresponding resource based on actual conditions of surplus power and demand power of the corresponding resource. The corresponding resource includes a storage battery configured to be chargeable by power supplied from an external charging facility. The setting step includes a step of switching the power management control from the second control to the first control when it is predicted that the actual SOC of the storage battery will be insufficient for a target SOC at a scheduled time of use of the storage battery during execution of the second control. Effect of the Invention

[0009] According to the present disclosure, user convenience can be ensured when a storage battery is included as a power adjustment resource. [Brief description of the drawings]

[0010] [Figure 1] 1 is a diagram illustrating an example of an overall configuration of a power management system according to an embodiment of the present disclosure. [Diagram 2] 4 is a time chart for explaining an overview of power management control in the present embodiment. [Diagram 3] FIG. 13 is a diagram for explaining switching from edge control to planned control. [Figure 4] 10 is a flowchart showing an example of a processing procedure of power management control in the present embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. In the drawings, the same or corresponding parts are denoted by the same reference characters, and the description thereof will not be repeated.

[0012] [Embodiment Mode] <System configuration> 1 is a diagram showing an example of an overall configuration of a power management system according to an embodiment of the present disclosure. The power management system 500 includes a CEMS 1 and an energy management server 2.

[0013] CEMS1 stands for Community Energy Management System or City Energy Management System. CEMS1 includes, for example, multiple Home Energy Management Systems (HEMS) 10. In CEMS1, a microgrid MG is constructed by multiple HEMS 10. The microgrid MG is connected to the power grid 9 so as to be able to exchange power with the power grid 9. The power grid 9 is a power network constructed by power plants and power transmission and distribution facilities.

[0014] The microgrid MG is an example of the "power grid" according to the present disclosure. The CEM1 may include a Factory Energy Management System (FEMS) or a Building Energy Management System (BEMS) instead of or in addition to the HEMS 10. The CEM1 may include only one of the energy management systems.

[0015] Each of the multiple HEMS 10 manages the electricity used in the home (electricity consumption, demand, and supply). Each HEMS 10 includes, for example, a water heater 11, an electric vehicle 12, a storage battery 13, a PV (photovoltaic) power generation facility 14, and a HEMS controller 15.

[0016] The water heater 11 is, for example, a water heater of a cogeneration system (it may be a water heater that uses heat generated during private power generation, or it may be a heat pump water heater). The water heater 11 boils the optimal amount of hot water according to the hot water usage of each household at night using inexpensive midnight electricity, and stores the boiled water in a hot water storage tank for use the next day (so-called boiling).

[0017] The electric vehicle 12 is a vehicle including a storage battery (not shown), and specifically, is a plug-in hybrid electric vehicle (PHEV), a battery electric vehicle (BEV), or the like. The electric vehicle 12 is configured to receive power from the microgrid MG by connecting a charging cable extending from a charging facility (not shown) to an inlet (not shown) of the electric vehicle 12 (external charging). The electric vehicle 12 may be configured to be able to discharge to the microgrid MG by connecting a charging cable to an outlet (not shown) of the electric vehicle 12 (external discharging). In this way, the electric vehicle 12 also functions as a mobile storage battery. However, the "storage battery" according to the present disclosure is not limited to an on-board storage battery, and may be a stationary storage battery.

[0018] The storage battery 13 is a stationary power storage device that stores power generated during the day by the PV power generation facility 14. The storage battery 13 is a secondary battery such as a lithium ion battery or a nickel metal hydride battery, and may be manufactured using, for example, a driving storage battery that was previously installed in a vehicle.

[0019] The PV power generation equipment 14 receives sunlight during the day to generate electricity, and charges the storage battery 13 with the generated electricity or outputs it to the microgrid MG. Instead of or in addition to the PV power generation equipment 14, the HEMS 1 may include other naturally variable power sources (power generation equipment whose power output fluctuates depending on weather conditions) such as wind power generation equipment.

[0020] The above devices are merely examples, and the HEMS 10 may further include devices (electrical devices or V2H devices such as air conditioners, fuel cells, lighting devices, generators, and heat storage tanks) other than those described above (not shown). Each device in the HEMS 10 corresponds to a "power regulation resource" according to the present disclosure.

[0021] The HEMS controller 15 is configured to be able to communicate with each device in the HEMS 1. The HEMS controller 15 acquires information about each device and controls the operation of each device.

[0022] The HEMS controller 15 is configured to communicate bidirectionally with the energy management server 2. The HEMS controller 15 transmits values ​​(power values, status values, etc.) indicating the operating status of each device acquired from the device to the energy management server 2. The HEMS controller 15 also controls each device according to a control command from the energy management server 2.

[0023] The energy management server 2 is a higher-level computer (cloud server) that comprehensively manages the multiple HEMS controllers 15. The energy management server 2 includes a processor 201, a memory 202, and a communication interface 203. The processor 201 executes various processes by reading out programs and various data (maps, relational expressions, parameters, etc.) stored in the memory 202 and expanding them in the memory 202. The communication interface 203 is configured to communicate with each of the multiple HEMS controllers 15. The energy management server 2 executes "power management control" for each of the multiple HEMs 10, which manages charging, power consumption, and / or discharge within the HEMS 10. This control will be described later.

[0024] Each of the HEMS controllers 15 corresponds to a "controller" according to the present disclosure. The energy management server 2 corresponds to a "server" according to the present disclosure.

[0025] <Power management control> The energy management server 2 formulates an electricity supply and demand plan for each HEMS 10, which is a consumer in the CEM 1, based on the electricity rate unit price and receiving end power forecast of that HEMS 10 so as to minimize the electricity charge for that HEMS 10. Then, the energy management server 2 executes "planned control" according to the electricity supply and demand plan for each HEMS 10. In planned control, the energy management server 2 holds the control authority for each device in the HEMS 10, and the energy management server 2 controls each device in the HEMS 10 in a cooperative manner. This makes it possible to maximize self-consumption within the HEMS 10 and suppress electricity charges.

[0026] However, the actual power supply and demand of the HEMS 10 does not necessarily change in accordance with the power supply and demand plan. The behavior of a consumer on one day may differ from the behavior of a consumer on another day (normal behavior pattern). Alternatively, the weather may change from moment to moment, or the weather may cause changes different from those predicted based on past data. As a result, the power generation amount of a naturally variable power source such as the PV power generation facility 14 may change differently from the prediction. In addition, it is difficult to formulate a precise power supply and demand plan with a short time granularity (for example, in units of one minute). Therefore, the power prediction may be wrong, and the actual power supply and demand of the HEMS 10 may deviate from the power supply and demand plan. If the actual power supply and demand deviates from the power supply and demand plan, there is a possibility that self-consumption cannot be maximized by plan control alone. In other words, the actual power supply and demand may increase compared to when the power supply and demand is in line with the power supply and demand plan, and the electricity bill may increase accordingly.

[0027] In this embodiment, during a period when the actual power supply and demand is predicted to deviate from the power supply and demand plan while the planned control is being executed, in this example, during a period when the PV power generation equipment 14 is predicted to sell surplus power or when power purchases due to increased power demand from devices in the HEMS 10 (air conditioners, lighting equipment, etc.) are predicted to occur, the energy management server 2 switches the power management control from "planned control" to "edge control".

[0028] In edge control, the control rights of each device in the HEMS 10 are transferred (assigned) from the energy management server 2 to the HEMS controller 15. The HEMS controller 15 monitors the power at the receiving end of the HEMS 10. The HEMS controller 15 then closely controls the charging and discharging of each device in the HEMS 10 (the water heater 11, the electric vehicle 12, and the storage battery 13 in this example) according to changes in the amount of power bought and sold at the receiving end of the HEMS 10. This reduces the amount of power bought and sold at the receiving end of the HEMS 10, maximizing self-consumption. As a result, it becomes possible to reduce the electricity bill for the HEMS 10. Note that the planned control corresponds to the "first control" according to the present disclosure, and the edge control corresponds to the "second control" according to the present disclosure.

[0029] <Switching between planned control and edge control> FIG. 2 is a time chart for explaining an overview of power management control in this embodiment. The horizontal axis represents elapsed time. More specifically, the horizontal axis represents elapsed time in a specific target period (in this example, the period from midnight to midnight the following day). The vertical axis represents power (generated power or demanded power). From the top, FIG. 2 shows, for a target HEMS 10, a power forecast for the following day in the HEMS 10, an operation plan for the water heater 11, an operation plan for the electric vehicle 12, an operation plan for the storage battery 13, and a type of power management control.

[0030] The energy management server 2 predicts the receiving end power of the target HEMS 10 during a target period at a predetermined timing. In this example, it is assumed that the prediction is performed at midnight, and as a result, it is predicted that surplus power will occur from 8:00 to 15:00, and that demand power (i.e., power shortage) will occur from 17:00 to 22:00. It is also assumed that inexpensive midnight power is available from midnight until 7:00.

[0031] It is predicted that neither surplus power nor demand power will occur during the period from midnight to 8:00. Therefore, the energy management server 2 executes planned control. Therefore, the energy management server 2 has the control right of each device in the HEM 10 during this period.

[0032] During the period up to 7:00, the energy management server 2 executes the following control using inexpensive midnight power. First, the energy management server 2 determines the time when the water heater 11 heats up. In this example, in order to heat up an optimal amount of hot water by 17:00 when the occurrence of power demand is predicted, the energy management server 2 controls the water heater 11 to heat at least a part of the optimal amount of hot water using midnight power. Second, the energy management server 2 charges the electric vehicle 12 so that the SOC of the electric vehicle 12 reaches a target value at the scheduled departure time of the electric vehicle 12. In this example, the energy management server 2 charges the electric vehicle 12 to at least an intermediate SOC (e.g., SOC=60%) using midnight power so that the SOC reaches a target SOC (e.g., SOC=80%) at 12:00, which is the scheduled departure time. Third, the energy management server 2 charges the storage battery 13 using midnight power. The scheduled departure time of the electric vehicle 12 is an example of the "time when the storage battery is used" according to the present disclosure.

[0033] It is predicted that surplus power will be generated during the period from 8:00 to 15:00. Accordingly, there is a high possibility that power will be sold at the power receiving end of the HEMS 10. Therefore, the energy management server 2 switches the power management control from planned control to edge control. Therefore, during this period, the control rights of each device in the HEM 10 are transferred from the energy management server 2 to the HEM controller 15.

[0034] The HEM controller 15 controls the actual power consumption of the HEMS 10 (the total value of the charging power or power consumption of each device) so that it is within the range of surplus power and is as close as possible to the surplus power in order to reduce the amount of power sold at the power receiving end of the HEMS 10. In this example, the HEM controller 15 first charges the electric vehicle 12 with power equivalent to the remaining SOC (e.g., the remaining 20% ​​between 60% and 80%) from the SOC at which charging was stopped midway to the final SOC so that the SOC of the electric vehicle 12 reaches the target SOC by the scheduled departure time of the electric vehicle 12. The HEM controller 15 also controls the water heater 11 to boil the remaining hot water (the difference between the optimal amount of hot water and the part of the hot water boiled using the midnight power) using the night power in order to boil the optimal amount of hot water by 5 p.m. when power demand occurs. Furthermore, the HEM controller 15 charges the storage battery 13 with the surplus power that cannot be charged or consumed by the water heater 11 and the electric vehicle 12 (the surplus power minus the power consumed by the water heater 11 and the charging power of the electric vehicle 12).

[0035] It is predicted that neither surplus power nor demand power will occur between 15:00 and 17:00. Therefore, the energy management server 2 returns the power management control from edge control to planned control. Therefore, the energy management server 2 takes back the control rights of each device in the HEM 10 from the HEM controller 15.

[0036] It is predicted that power demand will occur between 17:00 and 22:00. Accordingly, there is a high possibility that power will be purchased at the power receiving end of the HEMS 10. Therefore, the energy management server 2 switches the power management control from planned control to edge control again. Therefore, during this period, the control rights of each device in the HEM 10 are transferred again from the energy management server 2 to the HEM controller 15.

[0037] The HEM controller 15 controls the actual power supply (the total value of the power discharged from each device) of the HEMS 10 so that it is within the range of the power demand and is as close as possible to the power demand, in order to reduce the amount of power purchased at the power receiving end of the HEMS 10. In this example, the HEM controller 15 discharges the storage battery 13. Although not shown, when the electric vehicle 12 returns from an outside location, the HEM controller 15 may discharge the electric vehicle 12.

[0038] It is predicted that neither surplus power nor demand power will occur during the period from 10 p.m. to midnight. Therefore, the energy management server 2 returns the power management control from edge control to planned control. Therefore, the energy management server 2 takes back the control rights of each device in the HEM 10 from the HEM controller 15.

[0039] In this manner, in the present embodiment, during a period in which surplus power or demand power is predicted to occur in the HEMS 10, the power management control for the HEMS 10 is switched from planned control to edge control. Then, the control right of each device in the HEMS 10 is transferred to the HEMS controller 15. This enables the HEMS controller 15 to control each device in the HEMS 10 while monitoring the actual receiving end power in the HEMS 10 in real time. That is, the HEMS controller 15 can control the power (charging power, consumption power and / or discharge power) of each device in the HEMS 10 in a short time unit according to the change in the receiving end power of the HEMS 10. Therefore, according to the present embodiment, the self-consumption of the HEMS 10 can be maximized, and the amount of power bought and sold at the receiving end of the HEMS 10 can be reduced. As a result, the electricity fee for the HEMS 10 can be reduced.

[0040] <Switching from edge control to planned control> The HEMS 10 includes the electric vehicle 12 as a power adjustment resource. During edge control, if the amount of power generated by the PV power generation facility 14 (which may be another naturally variable power source) falls short of the predicted amount, or if the amount of power consumed by devices in the HEMS 10 (devices other than the electric vehicle 12) exceeds the predicted amount, there is a possibility that sufficient power cannot be supplied to the electric vehicle 12. Even if such a situation occurs, it is desirable not to impair user convenience. Therefore, in this embodiment, the energy management server 2 switches the power management control from edge control to planned control when a condition is established that takes into account the target SOC (target SOC=80% in the example described in FIG. 2) at the scheduled departure time of the electric vehicle 12.

[0041] 3 is a diagram for explaining the switch from edge control to planned control. The horizontal axis represents elapsed time. The vertical axis represents, from the top, power, the operation plan of the HEMS 10 (type of power management control), and the SOC of the electric vehicle 12. As the operation plan, in addition to the initial operation plan when edge control starts to be executed, an operation plan after updating in response to the satisfaction of the above-mentioned conditions is shown.

[0042] At an initial time t0, planned control is executed. At time t1, planned control is switched to edge control. After time t1, it is predicted that a large amount of surplus power will be generated by the PV power generation equipment 14, and the SOC of the electric vehicle 12 will rise quickly, as shown by the dashed dotted line. However, in reality, it is assumed that the PV power generation equipment 14 does not generate a sufficient amount of surplus power, and the SOC of the electric vehicle 12 will rise only slowly, as shown by the solid line.

[0043] In preparation for such a situation, the energy management server 2 sets a deadline L, for example, at the start time of execution of edge control. The deadline L is a line (a straight line in this example) passing through the target SOC, and represents a virtual SOC transition when the electric vehicle 12 is forcibly charged with power supplied from the charging facility. The slope of the straight line is preferably determined based on the maximum power that the charging facility can supply and the maximum power that the electric vehicle 12 can accept (the control upper limit value Win for charging the storage battery). The greater these maximum powers are, the steeper the slope of the straight line becomes.

[0044] When the actual SOC of the electric vehicle 12 crosses the deadline L, the energy management server 2 determines that if edge control is continued any longer, the actual SOC will not reach the target SOC at the scheduled departure time t3 of the electric vehicle 12. Therefore, at time t2 when the actual SOC crosses the deadline L, the energy management server 2 switches the power management control from edge control to planned control. Then, the energy management server 2 takes back control of the electric vehicle 12 (including each device in the HEM 10) from the HEMS controller 15, and performs force charging of the electric vehicle 12. This makes it possible for the actual SOC to reach the target SOC at the scheduled departure time t3.

[0045] 3, a situation has been described in which the surplus power from the PV power generation equipment 14 falls short of the predicted amount. However, a situation may also occur in which the surplus power from the PV power generation equipment 14 exceeds the predicted amount. In such a case, it is desirable for the energy management server 2 to interrupt the SOC of the electric vehicle 12 when the SOC of the electric vehicle 12 reaches the upper limit SOC. By setting the upper limit SOC to the target SOC (or a value close to the target SOC), the actual SOC at the scheduled departure time t3 can be more reliably brought close to the target SOC.

[0046] Furthermore, when the SOC of the electric vehicle 12 increases and approaches the full charge SOC, it may become difficult to balance power supply and demand (DR: Demand Response) using the electric vehicle 12. Therefore, the energy management server 2 may set an upper limit SOC for the electric vehicle 12 so that the electric vehicle 12 has a surplus capacity for DR (usable for DR). The upper limit SOC is determined so as to have a sufficient margin with respect to the full charge SOC.

[0047] <Processing flow> 4 is a flowchart showing an example of a processing procedure for power management control in this embodiment. The processing shown in this flowchart is executed when a predetermined condition is met (for example, at predetermined intervals). Each step is realized by software processing by the energy management server 2, but may also be realized by hardware (electrical circuits) arranged in the energy management server 2. Hereinafter, steps are abbreviated as S.

[0048] In S1, the energy management server 2 determines whether edge control is being performed in the target HEMS 10. If edge control is not being performed (NO in S1), the energy management server 2 ends the subsequent processing. If edge control is being performed (YES in S1), the energy management server 2 advances the processing to S2.

[0049] In S2, the energy management server 2 determines whether or not the deadline L has been set. If the deadline L has not been set (NO in S2), the energy management server 2 executes the processes of S3 to S5 for setting the deadline L. If the deadline L has been set (YES in S2), the energy management server 2 skips the processes of S3 to S5 and proceeds to S6.

[0050] In S3, the energy management server 2 acquires the scheduled departure time of the electric vehicle 12 and the target SOC of the electric vehicle 12. These values ​​may be set by a user's operation in advance, or may be estimated based on the user's driving history. The energy management server 2 may acquire these values ​​directly from the electric vehicle 12 by communicating with the electric vehicle 12, or may acquire them via the HEMS controller 15.

[0051] In S4, the energy management server 2 acquires specifications regarding the charging capacity of the charging facility (typically, the maximum power that the charging facility can supply) and specifications regarding the power receiving capacity of the electric vehicle 12 (a control upper limit value Win for charging the storage battery). These values ​​may be collected in advance.

[0052] In S5, the energy management server 2 sets the deadline L based on the scheduled departure time and the target SOC of the electric vehicle 12, and the specifications of the charging facility and the electric vehicle 12. This setting method has been described with reference to Fig. 3, and therefore will not be described again here.

[0053] If the deadline L is set (YES in S2 or after execution of the process of S5), the energy management server 2 acquires the actual SOC of the electric vehicle 12 through communication with the electric vehicle 12 or the HEMS controller 15 (S6). Then, the energy management server 2 determines whether the actual SOC transition intersects with the deadline L (whether it falls below the deadline L) (S7).

[0054] If the actual SOC transition does not intersect with the deadline L (NO in S7), the energy management server 2 maintains the power management control of the target HEMS 10 in edge control (S9). On the other hand, if the actual SOC transition intersects with the deadline L (YES in S7), the energy management server 2 switches the power management control of the target HEMS 10 from edge control to planned control (S8). This ends the series of processes.

[0055] As described above, in this embodiment, the energy management server 2 sets a deadline L indicating the limit as to whether the actual SOC can reach the target SOC at the scheduled departure time t3 of the electric vehicle 12, and judges whether the actual SOC transition crosses the deadline L. If the actual SOC transition crosses the deadline L, the energy management server 2 terminates the edge control because further continuation of the edge control will result in a shortage of SOC relative to the target SOC, and instead executes planned control. Then, the energy management server 2 acquires control of the electric vehicle 12 and forcibly charges the electric vehicle 12. This makes it possible to make the actual SOC of the electric vehicle 12 reach the target SOC. This ensures user convenience.

[0056] The embodiments disclosed herein should be considered to be illustrative and not restrictive in all respects. The scope of the present disclosure is defined by the claims, not by the description of the embodiments described above, and is intended to include all modifications within the meaning and scope of the claims. [Explanation of symbols]

[0057] 1 CEMS, 10 HEMS, 11 water heater, 12 electric vehicle, 13 storage battery, 14 PV power generation equipment, 15 HEMS controller, 2 management server, 201 processor, 202 memory, 203 communication interface, 500 power management system, 9 power system.

Claims

1. A power management system for managing power supply and demand in a power grid including a plurality of power adjustment resources, a controller for charging or discharging a corresponding resource, the corresponding resource being a corresponding power regulating resource among the plurality of power regulating resources; a server that configures power management control by the controller for the corresponding resource; The power management control includes: a first control in which the server holds a control right of the corresponding resource and controls the corresponding resource based on a power supply and demand plan that is formulated in advance; and a second control in which the controller holds the control right and controls the corresponding resource based on an actual situation of surplus power and demand power of the corresponding resource; The corresponding resource includes a storage battery configured to be rechargeable by power supplied from an external charging facility; The server, during execution of the second control, switches the power management control from the second control to the first control when it is predicted that the actual SOC of the storage battery will be insufficient relative to the target SOC at the scheduled time of use of the storage battery.

2. 2. The power management system according to claim 1, wherein the server switches the power management control from the second control to the first control when it is predicted that the actual SOC will be insufficient relative to the target SOC during execution of the second control, and performs forced charging of the storage battery from the charging equipment.

3. 3. The power management system according to claim 2, wherein the server predicts a change in SOC of the storage battery that can reach the target SOC when the forced charging is performed based on the target SOC, and predicts that the actual SOC will be insufficient for the target SOC when the forced charging is performed and when the actual SOC does not reach the target SOC even when the forced charging is performed.

4. A power management method for managing power supply and demand in a power grid including a plurality of power regulating resources, comprising: A step of configuring, by a server, a power management control by a controller for a corresponding resource that is a corresponding power adjustment resource among the plurality of power adjustment resources; The power management control includes: a first control in which the server holds a control right of the corresponding resource and controls the corresponding resource based on a power supply and demand plan that is formulated in advance; and a second control in which the controller holds the control right and controls the corresponding resource based on an actual situation of surplus power and demand power of the corresponding resource; The corresponding resource includes a storage battery configured to be rechargeable by power supplied from an external charging facility; The setting step includes a step of switching the power management control from the second control to the first control when it is predicted that the actual SOC of the storage battery will be insufficient relative to the target SOC at the scheduled time of use of the storage battery during execution of the second control.

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