Power management system and power management method

Abstract

The invention relates to a power management system and a power management method. The plan control is that the energy management server (2) maintains the control right of the HEMS and controls the HEMS on the basis of a pre-established power supply / demand plan. The edge control is that the HEMS controller maintains the control right of the HEMS and controls the control of the HEMS based on the actual conditions of the remaining power and the demand power of the HEMS. The HEMS includes an electric vehicle (battery). The energy management server (2) switches the power management control from the edge control to the planned control when it is predicted that the actual SOC of the electric vehicle (12) is insufficient with respect to the target SOC at the predetermined departure time of the electric vehicle during execution of the edge control.

Description

Technical Field

[0001] The present disclosure relates to a power management system and a power management method, and more particularly to a system and a method for managing power supply and demand in a power grid including a plurality of power regulation resources. Background Art

[0002] Japanese Patent Application Laid-Open No. 2016-187254 discloses a method for controlling a storage battery with low power loss of power generated by renewable energy and a method for controlling a water heater that can be controlled to a power value not less than the minimum required value. Japanese Patent Application Laid-Open No. 2016-187254 also describes the calculation of a prediction error of prediction data using the operation plan data of the storage battery and the actual operation performance data.

[0003] In a power grid including multiple power regulation resources, not only does the actual power supply and demand of several power regulation resources (such as the home energy management system described later) change according to the power supply and demand plan, but there is also a situation where the actual power supply and demand deviates from the power supply and demand plan.

[0004] In the case where a storage battery (e.g., an electrified vehicle configured to be rechargeable by power supplied from a charging device external to the vehicle) is included as a power adjustment resource, the storage battery may not be fully charged when, for example, the power generation of a solar power generation device or the like is lower than a predicted amount. Ideally, even in such a case, user convenience is not impaired. Summary of the invention

[0005] The present disclosure is made to solve the above-mentioned problems, and one of the objects of the present disclosure is to ensure user convenience when a storage battery is included as a power adjustment resource.

[0006] A power management system according to an aspect of the present disclosure manages power supply and demand in a power grid including a plurality of power regulation resources.

[0007] The power management system includes: a controller that charges or discharges a corresponding resource that is a corresponding power adjustment resource among a plurality of power adjustment resources; and a server that sets power management control for the corresponding resource to be performed by the controller.

[0008] The power management control includes a first control and a second control.

[0009] The first control is that the server maintains control over the response resources and controls the response resources based on a pre-made power supply and demand plan.

[0010] The second control is that the controller maintains the above-mentioned control right and controls the corresponding resources based on the actual conditions of the remaining power of the corresponding resources and the required power.

[0011] The countermeasure resource includes a storage battery configured to be chargeable by electric power supplied from an external charging device.

[0012] When it is predicted during execution of the second control that the actual SOC (State Of Charge) of the battery is insufficient with respect to the target SOC at the scheduled utilization time of the battery, the server switches the power management control from the second control to the first control.

[0013] A power management method according to another aspect of the present disclosure manages power supply and demand in a power grid including a plurality of power regulation resources.

[0014] The power management method includes the following steps: setting, by a server, power management control of a corresponding resource to be implemented by a controller, wherein the corresponding resource is a corresponding power adjustment resource among a plurality of power adjustment resources.

[0015] The power management control includes a first control and a second control.

[0016] The first control is that the server maintains control over the response resources and controls the response resources based on a pre-made power supply and demand plan.

[0017] The second control is that the controller maintains the control right of the corresponding resource and controls the corresponding resource based on the actual status of the remaining power of the corresponding resource and the required power.

[0018] The countermeasure resource includes a storage battery configured to be chargeable by electric power supplied from an external charging device.

[0019] The setting step includes the step of switching the power management control from the second control to the first control when it is predicted during execution of the second control that the actual SOC of the battery is insufficient with respect to the target SOC at a scheduled utilization time of the battery.

[0020] According to the present disclosure, it is possible to ensure user convenience when including a storage battery as a power adjustment resource. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Hereinafter, features, advantages, and technical and industrial significance of exemplary embodiments of the present invention will be described with reference to the accompanying drawings, wherein like reference numerals denote like elements, and wherein:

[0022] Figure 1 It is a diagram showing an example of the overall configuration of a power management system according to an embodiment of the present disclosure.

[0023] Figure 2 This is a time chart for explaining the outline of the power management control in this embodiment.

[0024] Figure 3 This is a diagram for explaining the switching from edge control to plan control.

[0025] Figure 4 This is a flowchart showing an example of a processing procedure of power management control in the present embodiment. DETAILED DESCRIPTION

[0026] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. It should be noted that the same or corresponding parts in the drawings are denoted by the same reference numerals, and their description will not be repeated.

[0027] Implementation

[0028] System Configuration

[0029] Figure 1 1 is a diagram showing an example of the 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 .

[0030] CEMS1 refers to a community energy management system (Community Energy Management System) or a city energy management system (City Energy Management System). CEMS1 includes, for example, a home energy management system (HEMS: Home Energy Management System) 10. In CEMS1, a microgrid MG is constructed by a plurality of HEMS10. The microgrid MG is connected to the power system 9 in a manner that enables the transfer of power to and from the power system 9. The power system 9 is a power grid constructed by power plants and power transmission and distribution equipment.

[0031] It should be noted that the microgrid MG is an example of the "power grid" of the present disclosure. CEMS1 may include a factory energy management system (FEMS) or a building energy management system (BEMS) instead of or in addition to HEMS10. CEMS1 may also include only one of the energy management systems.

[0032] Each of the plurality of HEMS 10 manages power used in the home (power consumption, demand, and supply). Each HEMS 10 includes, for example, a water heater 11 , an electric vehicle 12 , a battery 13 , a photovoltaic (PV) power generation device 14 , and a HEMS controller 15 .

[0033] The water heater 11 is, for example, a water heater of a cogeneration system (it may be a water heater using heat generated by home power generation or a heat pump water heater). The water heater 11 uses cheap late-night electricity to boil an optimal amount of hot water corresponding to the amount of hot water used by each household at night, and stores the boiled hot water in a hot water storage tank for use the next day (so-called boiling).

[0034] The electric vehicle 12 is a vehicle including a battery not shown in the figure, specifically, a plug-in hybrid electric vehicle (PHEV), a battery electric vehicle (BEV), etc. The electric vehicle 12 is configured to receive power from the microgrid MG (external charging) by connecting a charging cable extending from a charging device (not shown) to an inlet (not shown) of the electric vehicle 12. The electric vehicle 12 can also be configured to discharge the microgrid MG (external discharge) by connecting a charging cable to an outlet (not shown) of the electric vehicle 12. In this way, the electric vehicle 12 also functions as a movable battery. However, the "battery" disclosed in the present invention is not limited to a vehicle-mounted battery, but can also be a fixed battery.

[0035] The battery 13 is a stationary power storage device that stores power generated during the day by the PV power generation equipment 14. The battery 13 is a secondary battery such as a lithium ion battery or a nickel-metal hydride battery, and may be a battery manufactured using a driving battery conventionally mounted on a vehicle.

[0036] The PV power generation device 14 receives sunlight during the day to generate electricity, and charges the generated electricity to the storage battery 13 or outputs it to the microgrid MG. Instead of or in addition to the PV power generation device 14, the HEMS 10 may include other naturally variable power sources (power generation equipment whose power generation output varies according to meteorological conditions) such as wind power generation equipment.

[0037] The above devices are merely examples, and the HEMS 10 may further include devices other than the above devices (electrical devices such as air conditioners, fuel cells, lighting devices, generators, heat storage tanks, or V2H (vehicle-to-home) devices) not shown. Each device in the HEMS 10 corresponds to the "power regulation resource" of the present disclosure.

[0038] The HEMS controller 15 is configured to be able to communicate with each device in the HEMS 10. The HEMS controller 15 acquires information of each device and controls the operation of each device.

[0039] The HEMS controller 15 is configured to also perform bidirectional communication with the energy management server 2. The HEMS controller 15 sends the value (power value, state value, etc.) representing the operating status of each device obtained from the device to the energy management server 2. In addition, the HEMS controller 15 controls each device according to the control instruction from the energy management server 2.

[0040] The energy management server 2 is an upper-level computer (cloud server) that manages multiple HEMS controllers 15 in an integrated manner. The energy management server 2 includes a processor (PRO) 201, a memory (MEM) 202, and a communication interface (COM) 203. The processor 201 performs various processes by reading out programs and various data (mapping diagrams, 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 multiple HEMS controllers 15 respectively. The energy management server 2 performs "power management control" on multiple HEMS 10 to manage the charging, power consumption and / or discharge in the HEMS 10 respectively. This control will be described later.

[0041] It should be noted that each of the plurality of HEMS controllers 15 corresponds to a “controller” in the present disclosure. The energy management server 2 corresponds to a “server” in the present disclosure.

[0042] Power management control

[0043] The energy management server 2 formulates a power supply and demand plan for each HEMS 10 as a demand side in the CEMS 1, based on the unit price of the electricity charge of the HEMS 10 and the power forecast of the receiving end, so that the electricity charge of the HEMS 10 is minimized. Then, the energy management server 2 performs "plan control" according to the power supply and demand plan of each HEMS 10. In the plan control, the control right of each device in the HEMS 10 is maintained by the energy management server 2, and the energy management server 2 controls each device in the HEMS 10 in a cooperative manner. In this way, the self-consumption in the HEMS 10 can be maximized, thereby suppressing the electricity charge.

[0044] However, the actual power supply and demand of HEMS10 does not necessarily change according to the power supply and demand plan. Sometimes the behavior of the demand side on a certain day is different from the behavior of the demand side on other days (usual behavior pattern). Or sometimes the weather changes from moment to moment, and sometimes the weather changes differently from the changes predicted based on past data. As a result, the power generation of naturally variable power sources such as PV power generation equipment 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 forecast will deviate, and thus the actual power supply and demand of HEMS10 will sometimes deviate from the power supply and demand plan. In the case where the actual power supply and demand deviates from the power supply and demand plan, it may not be possible to maximize home consumption by planned control alone. That is, compared with the case where the actual power supply and demand follows the power supply and demand plan, the amount of power bought and sold (the amount of power purchased and / or sold) will increase, and the electricity bill may increase accordingly.

[0045] In the present embodiment, during a period when the actual power supply and demand is predicted to deviate from the power supply and demand plan during the execution of planned control, in this example, during a period when it is predicted that the surplus power generated by the PV power generation equipment 14 will be sold or the power purchase will occur due to an increase in the power demand of the equipment (air conditioning equipment, lighting equipment) within the HEMS 10, the energy management server 2 switches the power management control from "planned control" to "edge control".

[0046] In edge control, the control rights of each device in HEMS10 are transferred (transferred) from the energy management server 2 to the HEMS controller 15. The HEMS controller 15 monitors the power at the receiving end of HEMS10. Then, the HEMS controller 15 finely controls the charging and discharging of each device in HEMS10 (in this example, the water heater 11, the electric vehicle 12, and the battery 13) according to the changes in the amount of electricity bought and sold at the receiving end of HEMS10. In this way, the amount of electricity bought and sold at the receiving end of HEMS10 can be reduced, thereby maximizing home consumption. As a result, the electricity bill in HEMS10 can be reduced. It should be noted that planned control is equivalent to the "first control" of the present disclosure, and edge control is equivalent to the "second control" of the present disclosure.

[0047] Switching between planned control and edge control

[0048] Figure 2 This is a time chart for explaining the outline of power management control in this embodiment. The horizontal axis represents the elapsed time. More specifically, the horizontal axis represents the elapsed time of a specific target period (in this example, the period from 0:00 to 24:00 of the next day). The vertical axis represents power (generated power or demanded power). Figure 2, regarding the target HEMS 10 , the power forecast for the next day, the operation plan of the water heater 11 , the operation plan of the electric vehicle 12 , the operation plan of the battery 13 , and the types of power management control in the HEMS 10 are shown in order from top to bottom.

[0049] The energy management server 2 predicts the power at the receiving end during the target period at a predetermined timing for the target HEMS 10. In this example, the following situation is assumed: the prediction is performed at 0:00, and as a result, it is predicted that there will be surplus power during the period from 8:00 to 15:00, and demand power (i.e., power shortage) will occur during the period from 17:00 to 22:00. In addition, it is assumed that cheap late-night power can be used during the period from night to 7:00.

[0050] It is predicted that neither surplus power nor demand power will be generated during the period from 0:00 to 8:00. Therefore, the energy management server 2 performs planned control. Therefore, during this period, the energy management server 2 holds the control right of each device in the HEMS 10.

[0051] During the period until 7 o'clock in this period, the energy management server 2 uses cheap late-night electricity to perform the following control. First, the energy management server 2 determines the boiling time of the water heater 11. In this example, in order to boil the optimal amount of hot water before 17 o'clock when the generation of demand power is predicted, the energy management server 2 controls the water heater 11 in a manner that uses late-night electricity to boil at least a part of the optimal amount of hot water. Secondly, the energy management server 2 charges the electric vehicle 12 in a manner that the SOC of the electric vehicle 12 reaches the target value at the scheduled departure time of the electric vehicle 12. In this example, the energy management server 2 uses late-night electricity to charge the electric vehicle 12 to at least the midway SOC (for example, SOC=60%) so that the SOC reaches the target SOC (for example, SOC=80%) at 12 o'clock as the scheduled departure time. Next, the energy management server 2 uses late-night electricity to charge the storage battery 13. It should be noted that the scheduled departure time of the electric vehicle 12 is an example of the "scheduled utilization time of the storage battery" disclosed in the present invention.

[0052] It is predicted that surplus power will be generated during the period from 8:00 to 15:00. Along with this, there is a high possibility of selling electricity at the receiving end of 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 of each device in HEMS 10 is transferred from the energy management server 2 to the HEMS controller 15.

[0053] In order to reduce the amount of electricity sold at the power receiving end of HEMS 10, HEMS controller 15 controls the actual power consumption of HEMS 10 (the total value of the charging power or power consumption of each device) in such a manner that the actual power consumption is within the range of the surplus power and as close to the surplus power as possible. In this example, first, HEMS controller 15 charges the electric vehicle 12 with power equivalent to the remaining SOC from the SOC at which charging is stopped midway to the final SOC (for example, the remaining 20% ​​from 60% to 80%) so that the SOC of the electric vehicle 12 reaches the target SOC before the scheduled departure time of the electric vehicle 12. In addition, in order to boil the optimum amount of hot water before 17:00 when the demand power is generated, HEMS controller 15 controls the water heater 11 in such a manner that the surplus power is used to boil the surplus hot water (the difference between the optimum amount of hot water and a portion of the hot water boiled using the late-night power). The HEMS controller 15 charges the battery 13 with the remaining power that has not been charged or consumed by the water heater 11 and the electric vehicle 12 (power obtained by subtracting the power consumed by the water heater 11 and the power charged by the electric vehicle 12 from the remaining power).

[0054] It is predicted that neither surplus power nor demand power will be generated during the period from 15:00 to 17:00. Therefore, the energy management server 2 returns power management control from edge control to scheduled control. Therefore, the energy management server 2 takes back the control right of each device in the HEMS 10 from the HEMS controller 15.

[0055] It is predicted that there will be a demand for power from 17:00 to 22:00. Along with this, there is a high possibility that power will be purchased at the power receiving end of 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 of each device in HEMS 10 is transferred from the energy management server 2 to the HEMS controller 15 again.

[0056] In order to reduce the amount of electricity purchased at the power receiving end of the HEMS 10, the HEMS controller 15 controls the actual power supply of the HEMS 10 (the total value of the discharged power from each device) so that the actual power supply is within the range of the required power and as close to the required power as possible. In this example, the HEMS controller 15 discharges the battery 13. Although not shown, the HEMS controller 15 may also discharge the electric vehicle 12 when the electric vehicle 12 returns from the destination.

[0057] It is predicted that neither surplus power nor demand power will be generated during the period from 22:00 to 24:00. Therefore, the energy management server 2 returns power management control from edge control to planned control. Therefore, the energy management server 2 takes back the control right of each device in the HEMS 10 from the HEMS controller 15.

[0058] Thus, in the present embodiment, during the period when surplus power or demand power is predicted to be generated in HEMS 10, the power management control of the HEMS 10 is switched from planned control to edge control. In this way, the control of each device in HEMS 10 is transferred to the HEMS controller 15. Thus, the HEMS controller 15 can control each device in HEMS 10 while monitoring the actual receiving-end power in 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 HEMS 10 in a short time unit according to the change of the receiving-end power of HEMS 10. Thus, according to the present embodiment, the self-consumption of HEMS 10 can be maximized, thereby reducing the amount of power bought and sold at the receiving end of HEMS 10. As a result, the electricity bill in HEMS 10 can be reduced.

[0059] Switching from edge control to planned control

[0060] HEMS 10 includes an electric vehicle 12 as a power adjustment resource. When the power generation of the PV power generation equipment 14 (or other naturally variable power sources) is lower than the predicted amount during the execution of edge control, or the power consumption of the equipment in HEMS 10 (equipment other than the electric vehicle 12) is higher than the predicted amount, sufficient power may not be supplied to the electric vehicle 12. Ideally, even in such a situation, the user's convenience will not be impaired. Therefore, in this embodiment, the target SOC (at the time of departure of the electric vehicle 12) is taken into consideration. Figure 2 In the example described in , when the condition of target SOC=80%) is satisfied, the energy management server 2 switches the power management control from edge control to scheduled control.

[0061] Figure 3 This is a diagram for explaining the switch from edge control to planned control. The horizontal axis represents the elapsed time. The vertical axis represents the power, the operation plan of HEMS 10 (the type of power management control), and the SOC of the electric vehicle 12 from top to bottom. As the operation plan, in addition to the initial operation plan at the start of edge control execution, the updated operation plan is also shown when the above conditions are met.

[0062] At the initial time t0, the planned control is executed. At the time t1, the switching from the planned control to the edge control is performed. After the time t1, a large amount of surplus power is generated by the PV power generation device 14 in the prediction, as shown by the single-dot chain line, and the SOC of the electric vehicle 12 rises rapidly. However, the following situation is assumed: the surplus power generated by the PV power generation device 14 is not actually generated sufficiently, as shown by the solid line, and the SOC of the electric vehicle 12 only rises slowly.

[0063] In order to cope with such a situation, the energy management server 2 sets a deadline L, for example, at the start time of edge control execution. The deadline L is a line (a straight line in this example) passing through the target SOC, and represents a hypothetical SOC transition when the electric vehicle 12 is forcibly charged by the power supplied from the charging device. The slope of the straight line is preferably determined based on the maximum power that the charging device can supply and the maximum power that the electric vehicle 12 can accept (the control upper limit Win for charging the battery). The greater their maximum power, the steeper the slope of the straight line.

[0064] When the actual SOC of the electric vehicle 12 intersects with the cutoff line L, the energy management server 2 determines that if the edge control is further continued, 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 intersects with the cutoff line 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 the control of the electric vehicle 12 (including each device in the HEMS 10 including the electric vehicle 12) from the HEMS controller 15, and performs forced charging of the electric vehicle 12. In this way, the actual SOC can reach the target SOC at the scheduled departure time t3.

[0065] It should be noted that in Figure 3 In the example, the situation where the surplus power generated by the PV power generation device 14 is lower than the predicted amount is explained. However, it is also possible that the surplus power generated by the PV power generation device 14 is higher than the predicted amount. In such a case, it is ideal that the energy management server 2 interrupts the SOC of the electric vehicle 12 at the time 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.

[0066] In addition, when the SOC of the electric vehicle 12 increases and approaches the full charge SOC, demand response (DR) using the electric vehicle 12 may become difficult. Therefore, the energy management server 2 may also set the upper limit SOC of the electric vehicle 12 in such a way that the electric vehicle 12 retains the remaining power of DR (can be used for DR). The upper limit SOC is determined to have a sufficient margin relative to the full charge SOC.

[0067] Processing Flow

[0068] Figure 4 1 is a flowchart showing an example of the processing procedure of power management control in the present embodiment. The processing shown in the flowchart is executed when a predetermined condition is met (for example, every predetermined period). Each step is implemented by software processing implemented by the energy management server 2, but can also be implemented by hardware (circuitry) configured in the energy management server 2. Hereinafter, the step is referred to as S.

[0069] 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.

[0070] In S2, the energy management server 2 determines whether the cutoff line L has been set. If the cutoff line L has not been set ("No" in S2), the energy management server 2 executes the processes of S3 to S5 for setting the cutoff line L. If the cutoff line L has been set ("Yes" in S2), the energy management server 2 skips the processes of S3 to S5 and proceeds to S6.

[0071] In S3, the energy management server 2 obtains the scheduled departure time of the electric vehicle 12 and the target SOC of the electric vehicle 12. These values ​​can be set by a user operation in advance or estimated based on the user's driving history. The energy management server 2 can obtain these values ​​directly from the electric vehicle 12 by communicating with the electric vehicle 12 or through the HEMS controller 15.

[0072] In S4, the energy management server 2 obtains the specifications related to the charging capacity of the charging equipment (typically, the maximum power that the charging equipment can supply) and the specifications related to the power receiving capacity of the electric vehicle 12 (the control upper limit Win for charging the battery). These values ​​may also be collected in advance.

[0073] In S5, the energy management server 2 sets the cutoff line L based on the scheduled departure time and target SOC of the electric vehicle 12 and the specifications of the charging facility and the electric vehicle 12. Figure 3 , so the description is not repeated here.

[0074] When the cutoff line L is set ("Yes" in S2 or after the processing of S5 is executed), the energy management server 2 acquires the actual SOC of the electric vehicle 12 by communicating with the electric vehicle 12 or the HEMS controller 15 (S6). Then, the energy management server 2 determines whether the actual SOC transition intersects the cutoff line L (whether it is lower than the cutoff line L) (S7).

[0075] When the actual SOC transition does not intersect the cutoff line L ("No" in S7), the energy management server 2 maintains the power management control of the HEMS 10 as the target as edge control (S9). On the other hand, when the actual SOC transition intersects the cutoff line L ("Yes" in S7), the energy management server 2 switches the power management control of the HEMS 10 as the target from edge control to planned control (S8). Thus, a series of processing ends.

[0076] As described above, in the present embodiment, the energy management server 2 sets a cutoff line L indicating whether the actual SOC can reach the limit of the target SOC at the scheduled departure time t3 of the electric vehicle 12, and determines whether the actual SOC transition intersects with the cutoff line L. In the case where the actual SOC transition intersects with the cutoff line L, the energy management server 2 believes that further continuing the edge control will result in insufficient SOC relative to the target SOC, so the energy management server 2 ends the edge control and executes the planned control instead. Then, the energy management server 2 obtains the control right of the electric vehicle 12 and performs forced charging of the electric vehicle 12. In this way, the actual SOC of the electric vehicle 12 can reach the target SOC. In this way, the convenience of the user can be ensured.

[0077] The embodiments disclosed this time should be considered as illustrative in all aspects and not restrictive. The scope of the present disclosure is indicated by the claims rather than the description of the embodiments described above, and is intended to include all modifications within the meaning and scope equivalent to the claims.

Claims

1. A power management system for managing power supply and demand in a power grid including a plurality of power regulation resources, the power management system comprising: a controller that charges or discharges a response resource that is a response power adjustment resource among the plurality of power adjustment resources; as well as a server, setting power management control of the response resource implemented by the controller, The power management control includes: a first control, wherein the server maintains control over the response resource and controls the response resource based on a pre-established power supply and demand plan; and second control, wherein the controller maintains the control right and controls the response resource based on the remaining power of the response resource and the actual status of the required power, The response resource includes a storage battery configured to be chargeable by power supplied from an external charging device, When it is predicted during execution of the second control that the actual SOC of the battery is insufficient with respect to the target SOC at the scheduled utilization time of the battery, the server switches the power management control from the second control to the first control.

2. The power management system according to claim 1, wherein: When it is predicted that the actual SOC is insufficient with respect to the target SOC during execution of the second control, the server switches the power management control from the second control to the first control, and performs forced charging of the storage battery by the charging facility.

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

4. A method for managing power supply and demand in a power grid comprising a plurality of power regulation resources, The power management method comprises the following steps: setting power management control corresponding to a resource implemented by a controller through a server, wherein: The response resource is a response power adjustment resource among the plurality of power adjustment resources, The power management control includes: a first control, wherein the server maintains control over the response resource and controls the response resource based on a pre-established power supply and demand plan; and second control, wherein the controller maintains the control right and controls the response resource based on the remaining power of the response resource and the actual status of the required power, The response resource includes a storage battery configured to be chargeable by power supplied from an external charging device, The setting step includes the step of switching the power management control from the second control to the first control when it is predicted during execution of the second control that the actual SOC of the battery is insufficient with respect to the target SOC at a scheduled utilization time of the battery.

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