Generation method, generation apparatus, and generation program

Abstract

This generation device: acquires an operation plan for an electric vehicle; generates candidates of a charge and discharge plan for each of a plurality of batteries; excludes, from the candidates of a charge and discharge plan on the basis of the operation plan, a candidate of a charge and discharge plan including charging and discharging in an unconnected period to a power supply system of the electric vehicle, and a candidate of a charge and discharge plan in which the residual amount of a consumed battery of the electric vehicle cannot be secured, which is scheduled in the unconnected period; calculates the operation costs of the power supply system for the respective candidates of the charge and discharge plan except for the excluded candidates; determines a charge and discharge plan on the basis of the operation costs; and outputs the determined charge and discharge plan.

Description

Technical Field

[0001] The present disclosure relates to a technique for generating a charge-discharge plan for a power system having a storage battery.

Background Art

[0002] Patent Document 1 discloses a technique for estimating the degradation state of a secondary battery based on the usage history data of the secondary battery and calculating the evaluation price of a moving body equipped with the secondary battery based on the estimated degradation state.

[0003] Patent Document 2 discloses a technique for calculating a first parameter according to the states of a plurality of storage batteries, setting the calculated first parameter for each storage battery, and calculating a second parameter for each storage battery based on the profit generated by each storage battery, the operating rate of each storage battery, and the degree of degradation of each storage battery, and setting the calculated second parameter for each storage battery.

[0004] However, in the above prior art, since the operation plan of the electric moving body is not considered, it is insufficient for optimizing the operation cost of the power system including the storage battery of the electric moving body.

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Patent Document 2

Summary of the Invention

[0006] The present disclosure has been made to solve such problems, and provides a technique capable of generating a charge-discharge plan in which the operation cost of a power system including a storage battery of an electric moving body is further optimized.

[0007] A generation method in one aspect of the present disclosure is a method for generating a charge-discharge plan for a power system connected to a grid power and having a plurality of batteries and loads, including batteries for an electric mobile vehicle, wherein a computer obtains an operation plan for the electric mobile vehicle, generates candidate charge-discharge plans for each of the plurality of batteries, excludes from the candidate charge-discharge plans any charge-discharge plans that include charge-discharge during periods when the electric mobile vehicle is not connected to the power system, and excludes any charge-discharge plans in which the remaining battery charge for the electric mobile vehicle during the non-connection period cannot be secured, calculates the operating cost of the power system for the excluded charge-discharge plan candidates, determines the charge-discharge plan based on the operating cost, and outputs the determined charge-discharge plan.

[0008] According to this disclosure, it is possible to generate a more optimized charge-discharge plan for power systems, including batteries for electric mobile vehicles, which are responsible for the operation costs of the system. [Brief explanation of the drawing]

[0009] [Figure 1] This diagram shows an example of the overall configuration of the generation system in the embodiment of this disclosure. [Figure 2] This is a block diagram showing an example of the configuration of a generating device. [Figure 3] This flowchart shows an example of the processing of the generating apparatus in the embodiment of the present disclosure. [Figure 4] This graph shows an example of the overall charge / discharge plan proposed by the first candidate. [Figure 5] This graph shows an example of an individual charge / discharge plan proposed by the second candidate. [Figure 6] This graph shows an example of an individual charge / discharge plan for a third candidate for batteries in electric mobile devices. [Figure 7] This figure shows a power system operated according to the comparative example. [Figure 8] This figure shows a power system operated by a generating device according to an embodiment of the present disclosure. [Figure 9] This diagram shows an example of how a power system is operated. [Modes for carrying out the invention]

[0010] (Knowledge forming the basis of this disclosure) Vehicle-to-Home (V2H) systems, which supply power from electric vehicles to facilities, are becoming widespread. Consequently, facilities equipped with power systems that include batteries capable of storing electricity supplied by electric vehicles, as well as electricity generated by solar power generators and fuel cells, are also becoming more common.

[0011] In such power systems, batteries are charged and discharged according to a pre-generated charge / discharge plan. This charge / discharge plan is required to optimize the operating costs of the power system. Operating costs include the decrease in asset value due to battery degradation and the cost of purchasing grid power.

[0012] In generating this charge / discharge plan, the operational schedule of the electric mobile vehicle was not considered, making it impossible to determine the connection period during which the electric mobile vehicle was connected to the power system. Therefore, conventional charge / discharge plans for each battery were generated so that the power required by the power system was supplied by grid power and existing batteries, without relying on the electric mobile vehicle's power supply. Consequently, this was insufficient for generating a charge / discharge plan that more optimized operating costs.

[0013] This disclosure was made to address these issues.

[0014] (1) The generation method according to one aspect of the present disclosure is a generation method for generating a charge-discharge plan for a power system having a plurality of storage batteries including a storage battery of an electric moving body and a load, connected to grid power, wherein a computer acquires an operation plan of the electric moving body, generates candidates for charge-discharge plans for each of the plurality of storage batteries, and based on the operation plan, from the candidates for the charge-discharge plans, excludes candidates for the charge-discharge plans including charge-discharge during a period when the electric moving body is not connected to the power system, and candidates for the charge-discharge plans for which the remaining battery power of the electric moving body scheduled during the non-connection period cannot be ensured, calculates an operation cost of the power system for the candidates for the charge-discharge plans after the exclusion, determines the charge-discharge plan based on the operation cost, and outputs the determined charge-discharge plan.

[0015] According to this configuration, since the operation plan of the electric moving body is acquired and the charge-discharge plans of each storage battery are determined in consideration of the acquired operation plan, it is possible to determine individual charge-discharge plans for each storage battery to cover the required power of the power system in consideration of the power from the electric moving body. Therefore, it is possible to generate a charge-discharge plan with more optimized operation cost. Also, it is possible to prevent the generation of a charge-discharge plan that cannot cover the remaining battery power required for the electric moving body to travel during the non-connection period.

[0016] (2) In the generation method described in (1) above, the operation plan may include a connection period and a non-connection period of the electric moving body to the power system.

[0017] According to this configuration, it is possible to determine the charge-discharge plan for each battery in consideration of an operation plan including a connection period and a non-connection period.

[0018] (3) In the generation method according to (1) or (2) above, in the generation of candidates for the charge-discharge plan, a plurality of first candidates that are candidates for the overall charge-discharge plan, which is the charge-discharge plan for the entire plurality of storage batteries, are generated. For each first candidate, a plurality of second candidates that are candidates for the individual charge-discharge plan, which is the charge-discharge plan for each storage battery that satisfies the overall charge-discharge plan, are generated. In the exclusion of candidates, based on the operation plan, from the plurality of second candidates, a second candidate for the storage battery of the electric moving body that has a charge-discharge plan for being charged and discharged during the non-connection period, and a second candidate that has a charge-discharge plan in which the remaining consumption battery amount of the electric moving body scheduled during the non-connection period cannot be ensured are excluded to extract a plurality of third candidates. In the calculation of the operation cost, for each first candidate and each third candidate, the operation cost of the power system is calculated. In the determination of the charge-discharge plan, based on the operation cost, the individual charge-discharge plan is determined, and in the output, the individual charge-discharge plan may be output.

[0019] According to this configuration, a plurality of first candidates that are candidates for the overall charge-discharge plan are generated, and for each first candidate, a plurality of second candidates that are candidates for the individual charge-discharge plan that satisfies the overall charge-discharge plan are generated. Among the plurality of second candidates, a second candidate that has a charge-discharge plan for being charged and discharged during the non-connection period and a second candidate that has a charge-discharge plan in which the remaining consumption battery amount of the electric moving body scheduled during the non-connection period cannot be ensured are excluded, so that third candidates are extracted. For each first candidate and each third candidate, the operation cost is calculated, and based on the calculated operation cost, the individual charge-discharge plan is determined. Therefore, it is possible to generate a charge-discharge plan in which the operation cost is efficiently optimized without causing the process to fail. In addition, it is possible to prevent the generation of an individual charge-discharge plan that cannot cover the remaining consumption battery amount required for the electric moving body to travel during the non-connection period.

[0020] (4) In the generation method according to any one of (1) to (3) above, the operation cost may include at least one of the asset value reduction amount due to the deterioration of the plurality of storage batteries and the power purchase cost of the grid power.

[0021] This configuration allows for the generation of a charge / discharge plan that optimizes at least one of the following: the decrease in asset value due to the degradation of each battery, and the cost of purchasing electricity from the grid.

[0022] (5) In the generation method described in any one of (1) to (4) above, in the extraction of the plurality of third candidates, each third candidate may be extracted by further excluding at least one of the plurality of second candidates that have a charge / discharge plan in which the SOC (state of charge) of the storage battery is less than 0% or greater than 100%.

[0023] This configuration allows for the selection of a third candidate by excluding at least one of the second candidate, which has a charge / discharge plan where the battery's SOC is less than 0% or greater than 100%, and the second candidate, which has a charge / discharge plan where the SOC of the electric vehicle's battery at the start of movement is less than or equal to the reference SOC. This prevents the generation of individual charge / discharge plans with SOCs that each battery cannot achieve, and / or the generation of individual charge / discharge plans that would render the electric vehicle immobile due to insufficient SOC at the scheduled start time.

[0024] (6) In the generation method described in (3) above, the operating cost includes the amount of decrease in asset value due to the deterioration of the plurality of storage batteries and the cost of purchasing grid power, and in calculating the operating cost, a predicted value for power at the predicted time is calculated based on the power history information of the power system, the cost of purchasing power for each first candidate is calculated based on the calculated predicted value, the amount of decrease in asset value due to the deterioration of the storage battery corresponding to each third candidate is calculated based on the individual charge and discharge plan for each third candidate, and in determining the individual charge and discharge plan, the final third candidate for each storage battery is determined for each first candidate based on the calculated amount of decrease in asset value, the sum of the cost of purchasing power and the total amount of decrease in asset value for the final third candidate is calculated for each first candidate, the final first candidate is determined from the plurality of first candidates based on the sum, and the final third candidate corresponding to the determined final first candidate may be determined as the individual charge and discharge plan.

[0025] In this configuration, a predicted value for power at the prediction point is calculated based on power history information. Based on the calculated predicted value, the power purchase cost for each first candidate is calculated. Based on the individual charge / discharge plan for each third candidate, the asset value depreciation amount for the battery corresponding to each third candidate is calculated. Then, based on the calculated asset value depreciation amount, the final third candidate for each battery is determined for each first candidate. For each first candidate, the sum of the power purchase cost and the total asset value depreciation amount of the final third candidate is calculated. Based on this sum, the final first candidate is determined from multiple first candidates, and the final third candidate corresponding to the determined final first candidate is determined as an individual charge / discharge plan. Therefore, an individual charge / discharge plan with more optimized power purchase costs and asset value depreciation amounts can be generated.

[0026] (7) In the generation method described in (6) above, the predicted value includes at least one of the predicted value of power consumption, predicted value of power generation, predicted value of power purchase price, and predicted value of power sale price in the power system, and the power history information may include at least one of the power consumption history, the power generation history, the power purchase price history, and the power sale price history.

[0027] With this configuration, it becomes possible to calculate at least one of the predicted values ​​for power consumption, power generation, power purchase price, and power sale price based on power history information including at least one of the power consumption history, power generation history, power purchase price history, and power sale price history, thereby accurately calculating the power purchase cost for each first candidate.

[0028] (8) In the generation method described in (6) or (7) above, the calculation of the electricity purchase cost may be performed by obtaining at least one of the date and time information, weather information, and temperature information of the prediction time as input data, and the predicted value may be calculated by inputting the input data into a pre-trained model that has been generated by machine learning on training data in which at least one of the date and time information, weather information, and temperature information is associated with the electricity history information.

[0029] With this configuration, at least one of the following—date and time information, weather information, and temperature information—is acquired as input data. By inputting this data into a trained model, a predicted value is calculated, allowing for accurate calculation of the predicted value.

[0030] (9) In the generation method described in any of (1) to (8) above, the charge-discharge plan may show the temporal changes in charge-discharge power over a unit period.

[0031] This configuration allows for the generation of individual charge / discharge plans that show the temporal changes in charge / discharge power over a unit period.

[0032] (10) In the generation method described in any of (6) to (8) above, in determining the final first candidate, the first candidate whose sum is smallest among the plurality of first candidates may be determined as the final first candidate.

[0033] With this configuration, the first candidate that minimizes the sum of the grid power purchase cost and the asset value decrease of the final third candidate is determined as the final first candidate. This allows for the generation of individual charge / discharge plans optimized to have lower power purchase costs and lower asset value decrease.

[0034] (11) In the generation method described in any of (1) to (10) above, the power system may include at least one of a solar power generator and a fuel cell.

[0035] This configuration allows for the generation of individual charge and discharge plans that take into account the power generated by solar power generators and fuel cells.

[0036] (12) In the generation method described in any of (1) to (11) above, the power system further includes a power controller that controls the charging and discharging of each battery, and the output may output the individual charging and discharging plan to each power controller.

[0037] Since the individual charge / discharge plan for each battery is output to the power controller, each battery can be operated according to its individual charge / discharge plan under the control of the power controller.

[0038] (13) A generating device in another aspect of the present disclosure is a generating device for generating a charge-discharge plan for a power system connected to a grid power and having a plurality of batteries and loads, including a battery for an electric mobile vehicle, comprising: an acquisition unit for acquiring an operation plan for the electric mobile vehicle; a generating unit for generating candidate charge-discharge plans for each of the plurality of batteries; an extraction unit for excluding from the candidate charge-discharge plans, based on the operation plan, candidate charge-discharge plans that include charging and discharging during periods when the electric mobile vehicle is not connected to the power system, and candidate charge-discharge plans that do not ensure the remaining battery charge of the electric mobile vehicle scheduled for consumption during the non-connection period; a cost calculation unit for calculating the operating cost of the power system for the candidate charge-discharge plans after the exclusion; a determination unit for determining the charge-discharge plan based on the operating cost; and an output unit for outputting the determined charge-discharge plan.

[0039] This configuration makes it possible to provide a generating apparatus that can achieve the effects of the above-described generating method.

[0040] A generation program in another aspect of the present disclosure is a generation program that causes a computer to execute a generation method for generating a charge-discharge plan for a power system connected to a grid and having a plurality of batteries and loads, including batteries for an electric mobile vehicle, the method for causing the computer to execute a process that includes: obtaining an operation plan for the electric mobile vehicle; generating candidate charge-discharge plans for each of the plurality of batteries; excluding from the candidate charge-discharge plans from the candidate charge-discharge plans any charge-discharge plans that include charge-discharge during periods when the electric mobile vehicle is not connected to the power system, and any charge-discharge plans in which the remaining battery charge for the electric mobile vehicle during the non-connection period cannot be secured; calculating the operating cost of the power system for the excluded candidate charge-discharge plans; determining the charge-discharge plan based on the operating cost; and outputting the determined charge-discharge plan.

[0041] This configuration makes it possible to provide a generation program that can obtain the effects and benefits of the above-described generation method.

[0042] This disclosure can also be implemented as a generation system operated by such a generation program. Furthermore, it goes without saying that such a computer program can be distributed via computer-readable, non-temporary recording media such as CD-ROMs or via communication networks such as the Internet.

[0043] The embodiments described below are all specific examples of this disclosure. The numerical values, shapes, components, steps, and order of steps shown in the following embodiments are examples only and are not intended to limit this disclosure. Furthermore, among the components in the following embodiments, those not described in the independent claim representing the highest-level concept will be described as optional components. In addition, the contents of each embodiment can be combined.

[0044] (Embodiment) Figure 1 is a block diagram showing an example of the overall configuration of a generation system in an embodiment of the present disclosure. The generation system includes a generation device 1, a weather server 2, a power server 3, and a power system 100.

[0045] The generation device 1 consists of, for example, a cloud server including one or more computers. The generation device 1 generates a charge and discharge plan for the power system 100.

[0046] Weather server 2 is composed of a cloud server, for example, one or more computers. Weather server 2 is, for example, a server that provides weather information. Weather information includes weather information and temperature information.

[0047] Power server 3 is a server managed by, for example, a power company that supplies grid power 200, and provides the purchase price of grid power 200 and the price at which electricity is sold to grid power 200.

[0048] The power system 100 is a V2H power system installed in a facility to which an electric mobile unit 150 can be connected. Examples of facilities include residences, buildings, offices, and hospitals.

[0049] The power system 100 includes a control device 110, N (where N is an integer greater than or equal to 1) loads 120_1 to 120_N, M (where M is an integer greater than or equal to 2) power controllers 130_1 to 130_M, M storage batteries 140_1 to 140_M, a generator 160, and a power meter 170.

[0050] Hereafter, when referring to loads 120_1 to 120_N collectively, we will use the term "load 120," when referring to power controllers 130_1 to 130_M collectively, we will use the term "power controller 130," and when referring to batteries 140_1 to 140_M collectively, we will use the term "battery 140."

[0051] Load 120 is, for example, an electrical appliance. Examples of electrical appliances include household appliances such as microwave ovens, air conditioners, televisions, audio equipment, lighting equipment, and refrigerators.

[0052] Power controllers 130_1 to 130_M correspond to storage batteries 140_1 to 140_M. Power controller 130 is composed of, for example, an AC / DC converter and charges and discharges storage batteries 140 according to individual charge / discharge plans under the control of management device 110. For example, power controller 130 converts DC power from storage batteries 140 to AC power and outputs the converted AC power to load 120 and grid power 200. Power controller 130 also converts AC power from grid power 200 and generator 160 to DC power and charges storage batteries 140 with the converted DC power.

[0053] The battery 140 is a rechargeable secondary battery, such as a lithium-ion battery or a nickel-metal hydride battery. The battery 140 is charged by power from the battery 140 of the electric mobile unit 150, power generated by the generator 160, and grid power 200. The battery 140 also supplies power to the load 120. The battery 140 also supplies power to the grid power 200 when electricity is sold. Some or all of the batteries 140_1 to 140_M may be batteries provided by the electric mobile unit 150. In the example in Figure 1, the battery 140 provided by the electric mobile unit 150 is battery 140_M, but this is just one example. Hereafter, the battery 140 provided by the electric mobile unit 150 will be referred to as 140X. Note that batteries 140 other than battery 140X are stationary batteries installed in the facility.

[0054] The generator 160 consists of a solar power generator and a fuel cell, among other generators.

[0055] The management device 110 is a device that manages the power of the facility and includes a control unit 111, a communication unit 112, and a distribution board 113. The control unit 111 is composed of a processor such as a CPU (Central Processing Unit). For example, the control unit 111 operates the power controller 130 according to individual charge and discharge plans, which are charge and discharge plans corresponding to each of the storage batteries 140_1 to 140_M transmitted from the generation device 1, and charges and discharges the storage batteries 140.

[0056] For example, the control unit 111 generates power history information for the power system 100. The power history information includes a history of power consumption, a history of generated power, a history of the unit price of electricity purchased from the grid power 200, and a history of the unit price of electricity sold. The control unit 111 may generate the power history information for each unit period, for example. The unit period can be any appropriate value, such as one day, two days, three days, and one week.

[0057] The power consumption history is the history of power consumption under load 120. The power consumption history is time-series data in which power consumption measured by power meter 170 is given a timestamp (date and time). Power consumption includes power consumption under load 120.

[0058] The power generation history is the history of power generated by generator 160. The power generation history is time-series data in which a timestamp (date and time) is attached to the power generated by generator 160.

[0059] The electricity purchase price history is a record of the electricity purchase price when the power system 100 purchased grid power 200. The electricity purchase price is defined, for example, as a charge per unit of power (e.g., 1 watt). The electricity purchase price history is data that associates the electricity purchase price with the date and time of purchase. If the electricity purchase price fluctuates from time to time, the control unit 111 can obtain the electricity purchase price by accessing the power server 3. If the electricity purchase price is fixed by contract between the facility and the power company, the electricity purchase price will be a fixed value.

[0060] The history of electricity sales prices is a record of the electricity sales prices when the power system 100 sold electricity to the power company. The electricity sales price is defined, for example, as a rate per unit of electricity. The history of electricity sales prices is data that associates, for example, the electricity sales price with the date and time of electricity sale. If the electricity sales price is fixed by contract between the facility and the power company, the electricity sales price will be a fixed value.

[0061] The communication unit 112 is a communication circuit that connects the management device 110 to the network. The communication unit 112 receives the charge / discharge plan transmitted from the generator 1. The communication unit 112 transmits the power history information generated by the control unit 111 to the generator 1.

[0062] The distribution board 113 distributes the power supplied from the battery 140, the generator 160, and the grid power 200 to either the load 120, the battery 140, or the grid power 200.

[0063] The power meter 170 measures the power consumption of the load 120 and the power generated by the generator 160.

[0064] The electric mobility device 150 is, for example, an electric car, an electric bicycle, an electric motorcycle, and an electric kick scooter.

[0065] The generating device 1, weather server 2, power server 3, and management device 110 are connected to each other via a network so that they can communicate with one another. The network is a wide-area communication network, including, for example, a mobile phone network and an internet network.

[0066] Next, the configuration of the generation device 1 will be described. Figure 2 is a block diagram showing an example of the configuration of the generation device 1. The generation device 1 includes a communication unit 11, a processor 12, and a memory 13.

[0067] The communication unit 11 is a communication circuit that connects the power generation device 1 to the network. The communication unit 11 receives power history information transmitted from the management device 110, weather information transmitted from the weather server 2, and power purchase price and power sale price transmitted from the power server 3. The communication unit 11 transmits the individual charge / discharge plan generated by the power generation device 1 to the management device 110.

[0068] The processor 12 is composed of, for example, a CPU. The processor 12 includes a run plan acquisition unit 121, a history acquisition unit 122, a first generation unit 123 (an example of a generation unit), a second generation unit 124 (an example of a generation unit), an extraction unit 125, a cost calculation unit 126, a determination unit 127, and an output unit 128.

[0069] The operation plan acquisition unit 121 to the output unit 128 are implemented, for example, by the processor 12 executing a generation program. However, this is just one example, and the operation plan acquisition unit 121 to the output unit 128 may be composed of dedicated hardware circuits such as an ASIC (Application Specific Integrated Circuit).

[0070] The operation plan acquisition unit 121 acquires the operation plan for the electric mobile unit 150 from the memory 13. The operation plan is information that defines the driving schedule for the electric mobile unit 150 per unit period. The unit period is, for example, one day, but is not particularly limited. In detail, the operation plan includes the connection period and disconnection period of the electric mobile unit 150 to the power system 100. The connection period is the period during which the electric mobile unit 150 is electrically connected to the power controller 130 of the power system 100, and is the period during which the electric mobile unit 150 is stationary. During the connection period, the battery 140X of the electric mobile unit 150 is charged by power supplied from the power system 100 or supplies power to the power system 100.

[0071] The disconnection period is the period during which the electric mobile unit 150 is not electrically connected to the power controller 130 of the power system 100. The electric mobile unit 150 operates during the disconnection period. The operation plan includes the remaining battery charge of the electric mobile unit 150 during the disconnection period. In the operation plan, the connection period is defined, for example, by the connection start time and connection end time. The operation plan is created, for example, by the facility user and is pre-stored in the operation plan storage unit 131 of the memory 13.

[0072] The history acquisition unit 122 acquires power history information from the power system 100 and stores it in the memory 13.

[0073] The first generation unit 123 generates a number of first candidates for the overall charge-discharge plan, which is the charge-discharge plan for the entire battery 140. The overall charge-discharge plan is data that shows the temporal changes in the charge-discharge power of the entire battery 140 over a unit period. Hereinafter, the unit period for the overall charge-discharge plan will be set to one day, but this is just an example, and the unit period may be two days, three days, or one week.

[0074] Figure 4 is a graph showing an example of the overall charge / discharge plan 401 indicated by the first candidate. In Figure 4, the vertical axis represents the charge / discharge power of the battery 140, and the horizontal axis represents time. On the vertical axis, positive charge / discharge power represents the discharge power of the battery 140, and negative charge / discharge power represents the charge power of the battery 140. This is also true for the graphs in Figures 5 and 6, which will be described later.

[0075] The overall charge / discharge plan 401 is defined, for example, by the charge / discharge power for each of several time periods obtained by dividing a unit period into predetermined cycles. Hereinafter, the predetermined cycle is, for example, 30 minutes, but this is just an example, and an appropriate value such as 10 minutes, 20 minutes, 1 hour, 2 hours, 3 hours, etc., can be adopted. For example, the overall charge / discharge plan 401 consists of data that associates 24 hours × 2 = 48 time periods with the charge / discharge power for each time period, such as "W1" for the time period from 0:00 to 0:30, and "W2" for the time period from 0:30 to 1:00. In the example in Figure 4, the shape of the overall charge / discharge plan 401 is a convex bell shape, but this is just an example, and an appropriate shape can be adopted.

[0076] For example, the first generation unit 123 can determine multiple charge / discharge powers by dividing the charge / discharge range, which is defined by a predetermined maximum charge / discharge power and a predetermined minimum charge / discharge power for each time period, into a predetermined number of stages, and then determine multiple first candidates by combining the determined multiple charge / discharge powers across all time periods. For example, if the number of stages is 20 and the number of time periods is 48, there are 20 possible charge / discharge powers for each time period, so 20 to the power of 48 first candidates will be generated.

[0077] The second generation unit 124 generates a number of second candidates for each first candidate generated by the first generation unit 123, which are candidates for individual charge-discharge plans, each of which is a charge-discharge plan for each storage battery 140 that satisfies the overall charge-discharge plan 401 shown by each first candidate.

[0078] Figure 5 is a graph showing an example of the individual charge / discharge plan 501 proposed by the second candidate. This example shows an individual charge / discharge plan 501 in which charging occurs in the early stage, discharging occurs in the middle stage, and charging occurs in the late stage.

[0079] For example, the second generation unit 124 generates a distribution pattern that distributes the charge / discharge power of the first candidate of interest during the time period to each battery 140 in a predetermined number of stages. For example, if the batteries 140 are battery A and battery B, and the charge / discharge power is distributed in two stages, and the charge / discharge power of the first candidate of interest during the time period is 10, then three distribution patterns can be obtained for the time period of interest, for example, (A, B) = (10, 0), (5, 5), and (0, 10). The second generation unit 124 generates such distribution patterns for all time periods of the first candidate of interest. The first number in parentheses indicates the charge / discharge power distributed to battery A, and the second number in parentheses indicates the charge / discharge power distributed to battery B.

[0080] The second generation unit 124 then generates a set of distribution patterns for a unit period by combining all the distribution patterns for each time period, and generates multiple second candidates corresponding to each battery 140 by extracting the charge and discharge power distributed to each battery 140 from the generated distribution pattern set. The multiple second candidates generated here are associated with each distribution pattern set. Hereafter, the multiple second candidates associated with each distribution pattern set will be referred to as the second candidate set.

[0081] Let's explain with a simple example. For instance, suppose a unit period consists of two time zones, and the charging and discharging power is distributed in two stages. Suppose the charging and discharging power before distribution in the first time zone is 10, and the charging and discharging power before distribution in the second time zone is 20. In this case, three distribution patterns are obtained in the first time zone: (A, B) = (10, 0), (5, 5), and (0, 10). Three distribution patterns are obtained in the second time zone: (A, B) = (20, 0), (10, 10), and (0, 20). Then, a set of distribution patterns for (10, 0) and (20, 0), a set of distribution patterns for (10, 0) and (10, 10), and so on, resulting in 3 × 3 = 9 distribution pattern sets. For example, from the distribution pattern set (10, 0) and (20, 0), the charge / discharge power (10, 20) distributed to battery A is extracted, generating a second candidate (10, 20) for battery A. Similarly, the charge / discharge power (0, 0) distributed to battery B is extracted, generating a second candidate (0, 0) for battery B. This second candidate (10, 20) for battery A and the second candidate (0, 0) for battery B form the second candidate set corresponding to the distribution pattern set (10, 0)(20, 0). Second candidate sets are generated similarly for other distribution pattern sets. The first number in parentheses in the second candidate set indicates the charge / discharge power distributed during the first time period, and the second number indicates the charge / discharge power distributed during the second time period.

[0082] For the sake of explanation, the charging and discharging power was distributed in two stages here, but this is just an example, and other values ​​may be used. For example, the number of stages may be 20, as in the first candidate.

[0083] Based on the operation plan acquired by the operation plan acquisition unit 121, the extraction unit 125 extracts a number of third candidates by excluding second candidates for the battery 140X of the electric mobile unit 150 that have a charge / discharge plan that will be charged and discharged during the non-connection period.

[0084] Furthermore, the extraction unit 125 obtains the remaining battery charge of the electric mobile unit 150 that is scheduled to be consumed during the non-connection period from the operation plan acquired by the operation plan acquisition unit 121, and extracts multiple third candidates by excluding second candidates for the storage battery 140X that have a charge / discharge plan in which the acquired remaining battery charge cannot be secured.

[0085] Figure 6 is a graph showing an example of an individual charge / discharge plan 501 represented by a third candidate corresponding to the battery 140X of the electric mobile unit 150. In the example in Figure 6, the period T1 from time 0 to time t1 and the period T2 from time t2 to time t3 are disconnection periods. Therefore, in the example in Figure 6, the charge / discharge power during periods T1 and T2 is 0. This is because the third candidate is extracted by excluding the second candidate battery 140X, which has a charge / discharge plan that performs charging and discharging during the disconnection period of the electric mobile unit 150.

[0086] Furthermore, a third candidate is extracted by excluding a second candidate whose charge / discharge plan is less than or equal to the remaining battery capacity of the electric mobile unit 150 during period T1 calculated from the operation plan, where the remaining capacity of the battery 140X at the start of period T1 (time 0) is less than or equal to the remaining battery capacity of the electric mobile unit 150 during period T2 calculated from the operation plan. Similarly, a third candidate is extracted by excluding a second candidate whose charge / discharge plan is less than or equal to the remaining battery capacity of the battery 140X at the start of period T2 (time t2) is less than or equal to the remaining battery capacity of the electric mobile unit 150 during period T2 calculated from the operation plan. This prevents a situation in which the electric mobile unit 150 is unable to operate according to the operation plan during the non-connection period.

[0087] Furthermore, the extraction unit 125 may generate a third candidate by excluding from the multiple second candidates generated by the second generation unit 124 any second candidate whose charge / discharge plan results in a State of Charge (SOC) of the battery 140 being less than 0% or greater than 100%. This excludes second candidates whose charge / discharge plan results in an SOC value that is not realistically possible. Here, the extraction unit 125 only needs to exclude second candidates that have at least one time period in which the SOC is less than 0% or greater than 100%. The extraction unit 125 can calculate the remaining capacity of the battery 140 in each time period from the waveform of the second candidate, and then calculate the SOC in each time period using the calculated remaining capacity and a predetermined full charge capacity for the battery 140. The extraction unit 125 can obtain the full charge capacity of the battery 140 from the memory 13.

[0088] Furthermore, the extraction unit 125 may extract a third candidate from among the multiple second candidates generated by the second generation unit 124, by excluding second candidates whose charge / discharge plan results in the State of Charge (SOC) of the battery 140X of the electric mobile unit 150 being less than or equal to the reference SOC at the scheduled start time of movement. The scheduled start time of movement is the start time of the non-connection period of the electric mobile unit 150 as stipulated in the operation plan. The reference SOC is a predetermined SOC necessary for the electric mobile unit 150 to move, and an appropriate value such as 20%, 30%, 50%, or 60% is adopted. This excludes second candidates whose charge / discharge plan would prevent the electric mobile unit 150 from moving according to the operation plan.

[0089] Furthermore, the third candidate inherits the mapping for each distribution pattern set from the second candidate mentioned above. Multiple third candidates mapped for each distribution pattern set are called the third candidate set.

[0090] The cost calculation unit 126 calculates the operating cost for each of the first candidates generated by the first generation unit 123 and each of the third candidates extracted by the extraction unit 125. The operating cost includes the decrease in asset value due to the degradation of the storage battery 140 and the cost of purchasing grid power 200.

[0091] Specifically, the cost calculation unit 126 calculates predicted values ​​for electricity at the prediction point in time based on the electricity history information stored in the electricity history information storage unit 132, and calculates the electricity purchase cost for each first candidate based on the calculated predicted values. The prediction point in time is a point in the future, for example, one day, two days, one week, etc., from the present. The predicted values ​​include predicted values ​​for power consumption, predicted values ​​for generated power, predicted values ​​for electricity purchase price, and predicted values ​​for electricity sale price in the power system 100. Details of the calculation of electricity purchase costs will be described later.

[0092] The predicted values ​​are calculated by inputting the data into a pre-trained model that has been generated by machine learning using power history information. The input data includes date and time information, weather information, and temperature information. Date and time information includes month, day, day of the week, and time. Weather information includes sunny, cloudy, rainy, and snowy. Temperature information includes temperature and humidity. The pre-trained model is generated as follows.

[0093] First, training data for the trained model is generated. This training data is generated by associating date and time information, weather information, and temperature information with the power consumption history, power generation history, power purchase price history, and power sale price history stored in the power history information storage unit 132. Then, the trained model can be generated by performing machine learning with the date and time information, weather information, and weather information as explanatory variables and the power consumption history, power generation history, power purchase price history, and power sale price history as the target variables. Any machine learning model that solves regression problems, such as a neural network or a regression model, can be used as the trained model.

[0094] Furthermore, the cost calculation unit 126 calculates the amount of asset value reduction due to the degradation of the battery 140 corresponding to each third candidate, based on the charge / discharge plans of the multiple third candidates extracted by the extraction unit 125. Details of the calculation of the asset value reduction amount will be described later.

[0095] The decision unit 127 determines the individual charge / discharge plan based on the operating costs calculated by the cost calculation unit 126. More specifically, the decision unit 127 determines the final third candidate corresponding to each battery 140 for each first candidate based on the decrease in asset value of each third candidate calculated as an operating cost by the cost calculation unit 126, and then determines the determined final third candidate as the individual charge / discharge plan.

[0096] Furthermore, the determination unit 127 calculates the sum of the electricity purchase cost and the total decrease in asset value of the final third candidate for each first candidate generated by the first generation unit 123.

[0097] Furthermore, the determination unit 127 determines the final first candidate from multiple first candidates based on the calculated sum, and determines the final third candidate corresponding to the determined final first candidate as an individual charge / discharge plan.

[0098] The output unit 128 outputs the individual charge / discharge plan determined by the determination unit 127. More specifically, the output unit 128 transmits the individual charge / discharge plan to the management device 110 using the communication unit 11.

[0099] The memory 13 consists of a non-volatile rewritable storage device such as a solid-state disk drive and a hard disk drive. The memory 13 includes a run plan storage unit 131, a power history information storage unit 132, and a learned model storage unit 133.

[0100] The operation plan storage unit 131 stores the operation plan for the electric mobile unit 150. The power history information storage unit 132 stores the power history information acquired by the history acquisition unit 122.

[0101] The trained model storage unit 133 stores the trained model that the cost calculation unit 126 uses to calculate predicted values. The trained model storage unit 133 stores a common trained model for multiple power systems 100 managed by the generation device 1 by default. The trained model storage unit 133 may also store individually customized trained models for each power system 100 by periodically updating the trained model using the power history information of each power system 100.

[0102] The above describes the configuration of the generation device 1. Next, the processing of the generation device 1 will be explained. Figure 3 is a flowchart showing an example of the processing of the generation device 1 in the embodiment of this disclosure.

[0103] (Step S1) The operation plan acquisition unit 121 acquires the operation plan for the electric mobile unit 150 from the memory 13. Here, if the power system 100 is capable of connecting multiple electric mobile units 150, the operation plan for each electric mobile unit 150 is acquired.

[0104] (Step S2) The cost calculation unit 126 acquires input data (date and time information, weather information, temperature information) at the time of prediction, and inputs the acquired input data into the trained model stored in the trained model storage unit 133 to calculate the predicted values ​​of power consumption, power generation, power purchase price, and power sale price at the time of prediction. Here, these predicted values ​​are calculated for each of the 48 time periods, which are obtained by dividing the 24 hours into 30-minute intervals.

[0105] (Step S3) The first generation unit 123 generates a number of first candidates for the overall charge-discharge plan using the method described above.

[0106] (Step S4) The cost calculation unit 126 calculates the power purchase cost of grid power 200 for each first candidate generated in step S3.

[0107] The cost of purchasing electricity is calculated using equation (1).

[0108] Cost of purchasing electricity = Basic charge + Σ(Electricity purchase price per unit × Amount of electricity purchased - Electricity sale price per unit × Amount of electricity sold) (1)

[0109] The basic charge is a predetermined basic charge value per unit period (1 day) as stipulated in the contract between the facility and the power company. The electricity purchase price is entered as the predicted value of the electricity purchase price for each time period calculated in step S2. The electricity sale price is entered as the predicted value of the electricity sale price for each time period calculated in step S2. Σ indicates that the (electricity purchase price × amount of electricity purchased - electricity sale price × amount of electricity sold) calculated for each time period is accumulated over the unit period.

[0110] The amount of electricity purchased is when W in equation (2) is positive, and the amount of electricity sold is when W in equation (2) is negative.

[0111] W = Power consumption - (Power generated + Power discharged) (2) Power consumption is the predicted power consumption for the time period of interest calculated in step S2. Power generation is the predicted power generation for the time period of interest calculated in step S2. Discharge power is the discharge power for the time period of interest of the first candidate of interest.

[0112] (Step S5) The second generation unit 124 generates multiple second candidates using the method described above. As a result, for each of the multiple first candidates, multiple second candidates are generated that satisfy the overall charge-discharge plan indicated by the first candidate.

[0113] (Step S6) The extraction unit 125 extracts a third candidate by excluding the second candidates that do not satisfy the constraints from among the multiple second candidates generated in step S5. The constraints are, as described above, the condition that a second candidate for the battery 140X of the electric mobile unit 150 that has a charge / discharge plan that takes place during the non-connection period be excluded, the condition that a second candidate for the battery 140X of the electric mobile unit 150 that has a charge / discharge plan that does not ensure the remaining battery charge of the electric mobile unit 150 that is scheduled to be consumed during the non-connection period be excluded, the condition that a second candidate that has a charge / discharge plan in which the SOC is less than 0% or greater than 100% be excluded, and the condition that a second candidate that has a charge / discharge plan in which the SOC of the battery 140X of the electric mobile unit 150 is less than or equal to the reference SOC at the scheduled start time of movement be excluded.

[0114] (Step S7) The cost calculation unit 126 calculates the asset value reduction amount for each of the multiple third candidates calculated in step S6. The asset value reduction amount is expressed by formula (3).

[0115] Asset value decrease = Battery purchase price × (Degradation value / Allowable degradation range) (3) The battery purchase price is the purchase price of the battery 140, and is pre-stored in memory 13 for each battery 140. The degradation value is the amount of degradation of the battery 140, for example, SOH (state of health). Therefore, the degradation value decreases as the battery 140 degrades.

[0116] The degradation value is determined according to the length of the charging period, the discharging period, and the standby period during which neither charging nor discharging occurs. Therefore, the cost calculation unit 126 can determine the charging period, discharging period, and standby period from the waveform of the third candidate of interest, calculate the decrease in the degradation value based on the determined charging / discharging period, discharging period, and standby period, and then calculate the latest degradation value by subtracting the calculated decrease from the current degradation value of the battery 140 corresponding to the third candidate of interest.

[0117] The acceptable degradation range is the range from the lower limit of the acceptable degradation value to the maximum degradation value. The lower limit of the acceptable degradation value is a predetermined value that indicates the lifespan of the battery 140. For example, if the degradation value is SOH, the maximum degradation value is 100%, and the lower limit of the acceptable degradation value is 60%, then the acceptable degradation range is 40 = 100 - 60. In this way, the amount of decrease in asset value increases as the degradation value increases.

[0118] (Step S8) The decision unit 127 determines the final third candidate corresponding to each battery 140 for each first candidate based on the decrease in asset value of each third candidate. More specifically, the decision unit 127 identifies the set of third candidates that minimizes the total decrease in asset value from among multiple sets of third candidates corresponding to the first candidate of interest, and determines the third candidates constituting the identified set of third candidates as the final third candidate.

[0119] For example, let's designate battery 140 as battery A and battery B, and the third candidate sets as J1 and J2. In the third candidate set J1, let's designate J1_A as the third candidate for battery A and J1_B as the third candidate for battery B. In the third candidate set J2, let's designate J2_A as the third candidate for battery A and J2_B as the third candidate for battery B. In this case, the total decrease in asset value for the third candidate set J1 is the sum of the decrease in asset value for third candidate J1_A and the decrease in asset value for third candidate J1_B. Similarly, the decrease in asset value for the third candidate set J2 is the sum of the decrease in asset value for third candidate J2_A and the decrease in asset value for third candidate J2_B. If the total decrease in asset value for the third candidate set J1 is less than the total decrease in asset value for the third candidate set J2, then third candidates J1_A and J1_B, which make up the third candidate set J1, are determined as the final third candidates.

[0120] (Step S9) The decision unit 127 calculates the sum of the electricity purchase cost calculated in step S4 and the total amount of asset value reduction for the final third candidate corresponding to each first candidate for each first candidate, and determines the first candidate with the smallest calculated sum as the final first candidate. A smaller electricity purchase cost is desirable, and a smaller asset value reduction is also desirable. Therefore, the smaller the above sum, the less the battery 140 deteriorates, the lower the electricity purchase cost, and the better the operating cost.

[0121] (Step S10) The decision unit 127 determines the final third candidate for each battery 140 corresponding to the final first candidate determined in step S9 as an individual operation plan for each battery 140.

[0122] (Step S11) The output unit 128 transmits the individual operation plan determined in step S10 to the management device 110.

[0123] Figure 7 shows a power system 100 operated according to a comparative example. Figure 8 shows a power system 100 operated by a generating device 1 according to an embodiment of the present disclosure.

[0124] In Figure 7, Graph 700 shows the temporal change in the power consumption of the power system 100. In the comparative example, the power of the battery 140X of the electric mobile unit 150 is not taken into consideration when the individual charge / discharge plan for the battery 140 is generated. As a result, the individual charge / discharge plan is generated so that all power consumption 701 exceeding the contract limit, which is the power available under contract, is covered by the power of the battery 140. This resulted in the battery 140 having to remain in a high SOC state, which led to the problem of increased degradation.

[0125] In contrast, in this embodiment, as shown in Figure 8, the power of the battery 140X of the electric mobile unit 150 is taken into consideration when generating an individual charge / discharge plan for the battery 140. Therefore, in the graph 800 showing the temporal changes in the power consumption of the power system 100, power consumption 803 exceeding the contract limit can be covered by the power 801 of the battery 140 plus the power 802 of the battery 140X of the electric mobile unit 150. As a result, the battery 140 can remain in standby mode at a lower SOC compared to the comparative example. Consequently, the degradation of the battery 140 can be reduced.

[0126] Figure 9 shows an example of the operation of the power system 100. The generator 1 manages both the power system 100A of facility 200A and the power system 100B of facility 200B together. In this example, the electric mobile unit 150 leaves facility 200A, arrives at facility 200B, stays at facility 200B for a while, then moves to facility 200C, and stays at facility 200C for a while.

[0127] In this case, the electric mobile unit 150 is disconnected from power system 100A, but if it is connected to power system 100B, it can supply power to power system 100B. Therefore, the generating device 1 creates an individual charge / discharge plan for the battery 140 of power system 100B using an operation plan that includes not only the connection and disconnection periods of power system 100A, but also the connection and disconnection periods of power system 100B. This ensures that the power of the electric mobile unit 150 is effectively utilized and enables efficient operation of power systems 100A and 100B.

[0128] Since the power system 100C of facility 200C is not connected to generator 1, generator 1 cannot determine the connection and disconnection periods of the electric mobile unit 150 in the power system 100C. However, the power system 100C is connected to a generator 1A, which is separate from generator 1. Generator 1A generates an individual charge / discharge plan for the battery 140 of the power system 100C using an operation plan that includes the connection and disconnection periods of the power system 100C. As a result, the power of the electric mobile unit 150 is effectively utilized, enabling efficient operation of the power system 100C.

[0129] As described above, according to this embodiment, the operation plan of the electric mobile unit 150 is acquired, and the individual charge and discharge plans for each battery are determined taking into account the acquired operation plan. Therefore, the individual charge and discharge plans for each battery to supply the required power of the power system 100 can be determined taking into account the power of the battery 140X of the electric mobile unit 150. As a result, the required power is supplemented by the power of the battery 140X of the electric mobile unit 150, so the amount of grid power purchased from the power company decreases, and power purchase costs can be reduced. Furthermore, it becomes possible to supplement the required power exceeding the contract limit set out in the contract with the power company with the power company's power, so the amount of power stored in the battery 140 is reduced compared to when all of the required power exceeding the contract limit is supplied by the battery 140. As a result, it is no longer necessary to keep the battery 140 in standby mode in a high state of charge state, and the degradation of the battery 140 can be suppressed.

[0130] The disclosure may take the following modifications.

[0131] (1) Operating costs included the decrease in asset value and the cost of purchasing electricity, but this disclosure is not limited to this and may include only the decrease in asset value.

[0132] In this case, in step S4 of Figure 3, the first generation unit 123 should calculate the asset value reduction amount instead of the electricity purchase cost for each first candidate. Also, in step S9 of Figure 4, the determination unit 127 should determine the first candidate as the final first candidate, which has the smallest sum of the asset value reduction amount calculated in step S4 and the asset value reduction amount of the final third candidate.

[0133] (2) Operating costs included the decrease in asset value and the cost of purchasing electricity, but this disclosure is not limited to this and may include only the cost of purchasing electricity.

[0134] In this case, in step S7 of Figure 3, the cost calculation unit 126 should calculate the power purchase cost for each of the multiple third candidates calculated in step S6. Also, in step S8 of Figure 3, the determination unit 127 should determine the final third candidate corresponding to each battery 140 for each first candidate based on the power purchase cost of each third candidate. More specifically, the determination unit 127 should identify the set of third candidates from among the multiple sets of third candidates corresponding to the first candidate of interest that minimizes the total power purchase cost, and then determine the third candidates constituting the identified set of third candidates as the final third candidates. Furthermore, in step S9 of Figure 3, the determination unit 127 should determine the first candidate that minimizes the sum of the power purchase cost calculated in step S4 and the power purchase cost of the final third candidate as the final first candidate.

[0135] (3) The disclosure may also be such that all of the storage batteries 140 are storage batteries 140X of the electric mobile unit 150.

[0136] (4) The generating device 1 may be implemented in the control device 110 or installed in the facility.

[0137] (5) The generating device 1 may generate individual charge and discharge plans not only for one power system 100, but also for each of a plurality of mutually independent power systems 100.

[0138] (6) In step S9, the decision unit 127 may weight the electricity purchase cost calculated in step S4 and the sum of the decrease in asset value of the final third candidate corresponding to each first candidate for each first candidate. For example, if you want to reduce next month's electricity bill, the weight value of the electricity purchase cost will be set higher than the weight value of the sum of the asset values ​​of the final third candidate corresponding to each first candidate.

[0139] (7) In the above embodiment, the second generation unit 124 generated candidate individual charge-discharge plans to satisfy the overall charge-discharge plan indicated by each first candidate. However, this is just one example, and multiple candidate individual charge-discharge plans (an example of a candidate charge-discharge plan) may be generated for each of the multiple storage batteries 140 to satisfy a predetermined overall charge-discharge plan. In this case, the first generation unit 123 is not required.

[0140] Furthermore, in this case, the extraction unit 125 can narrow down the candidates for individual charge-discharge plans by excluding candidates for individual charge-discharge plans that include charging and discharging during periods when the electric mobile unit 150 is not connected to the power system 100, and candidates for individual charge-discharge plans that cannot secure the battery charge of the electric mobile unit 150 scheduled for consumption during the non-connection period.

[0141] Furthermore, in this case, the cost calculation unit 126 calculates the operating cost for each of the narrowed-down individual charge / discharge plan candidates. For example, the cost calculation unit 126 calculates the amount of decrease in asset value due to the degradation of the battery 140 for each of the narrowed-down individual charge / discharge plan candidates.

[0142] Furthermore, in this case, the decision unit 127 only needs to determine, from the narrowed-down list of individual charge / discharge plan candidates, the candidate for the individual charge / discharge plan that minimizes the decrease in asset value for each storage battery 140.

[0143] Furthermore, in this case, the output unit 128 can transmit the individual charge / discharge plan determined for each battery 140 to the management device 110 using the communication unit 11. [Industrial applicability]

[0144] According to this disclosure, it is useful in the field of V2H technology, which is expected to become even more widespread in the future.

Claims

1. A method for generating a charge / discharge plan for a power system connected to the grid and having multiple batteries and loads, including batteries for electric mobile devices, Computers The operation plan of the aforementioned electric mobile unit is obtained, The following are generated: Based on the aforementioned operation plan, candidates for the charge-discharge plan include charge-discharge during periods when the electric mobile unit is not connected to the power system, and candidates for the charge-discharge plan are excluded if the battery charge level of the electric mobile unit scheduled for consumption during the non-connection period cannot be secured. The operating costs of the power system are calculated for the candidate charge / discharge plans after the exclusions. Based on the aforementioned operating costs, the charge / discharge plan is determined. Output the determined charge / discharge plan. Generation method.

2. The aforementioned operation plan includes the period during which the electric mobile body is connected to the power system and the period during which it is not connected. The generation method according to claim 1.

3. In generating candidate charge / discharge plans, Multiple first candidates are generated, which are candidates for the overall charge-discharge plan, which is the charge-discharge plan for the entire set of batteries. For each first candidate, a plurality of second candidates are generated, which are candidates for individual charge-discharge plans that satisfy the overall charge-discharge plan for each storage battery. In excluding the candidate charge / discharge plan, Based on the aforementioned operation plan, from the plurality of second candidates, a plurality of third candidates are extracted by excluding second candidates for the battery of the electric mobile unit that have a charge / discharge plan that is charged and discharged during the disconnection period, and second candidates that have a charge / discharge plan that does not ensure the remaining battery charge of the electric mobile unit scheduled for consumption during the disconnection period. In calculating the aforementioned operating costs, the aforementioned operating costs of the power system are calculated for each of the first and third candidates. In determining the charge / discharge plan, the individual charge / discharge plan is determined based on the operating costs. The output outputs the individual charge / discharge plan. The method of production according to claim 1 or 2.

4. The aforementioned operating costs include at least one of the decrease in asset value due to the degradation of the plurality of storage batteries and the cost of purchasing electricity from the grid. The method of production according to claim 1 or 2.

5. In the extraction of the plurality of third candidates, each third candidate is further extracted by excluding at least one of the following from the plurality of second candidates: a second candidate having a charge / discharge plan in which the state of charge (SOC) of the storage battery is less than 0% or greater than 100%, and a second candidate having a charge / discharge plan in which the SOC of the storage battery of the electric mobile unit at the scheduled start time of movement is less than or equal to the reference SOC. The generation method according to claim 3.

6. The aforementioned operating costs include the decrease in asset value due to the degradation of the multiple storage batteries and the cost of purchasing electricity from the grid. In calculating the aforementioned operating costs, Based on the power history information of the power system, a predicted value for power at the prediction time is calculated, and based on the calculated predicted value, the power purchase cost for each first candidate is calculated. Based on the individual charge / discharge plans for each third candidate, the amount of asset value reduction due to battery degradation corresponding to each third candidate is calculated. In determining the individual charge / discharge plan, Based on the calculated decrease in the value of each asset, the final third candidate for each battery storage system is determined for each first candidate. For each first candidate, calculate the sum of the electricity purchase cost and the total amount of the decrease in asset value for the final third candidate. Based on the sum, a final first candidate is determined from the plurality of first candidates, and the final third candidate corresponding to the determined final first candidate is determined as the individual charge / discharge plan. The generation method according to claim 3.

7. The aforementioned predicted values ​​include at least one of the following in the power system: a predicted value for power consumption, a predicted value for power generation, a predicted value for the power purchase price, and a predicted value for the power sale price. The aforementioned power history information includes at least one of the following: the history of power consumption, the history of generated power, the history of the power purchase price, and the history of the power sale price. The generation method according to claim 6.

8. In calculating the aforementioned electricity purchase cost, at least one of the date and time information, weather information, and temperature information for the forecast period is obtained as input data. The predicted value is calculated by inputting the input data into a pre-trained model that is generated by machine learning using training data in which at least one of date and time information, weather information, and temperature information is associated with the power history information. The generation method according to claim 6.

9. The aforementioned charge / discharge plan shows the temporal changes in charge / discharge power over a unit period. The method of production according to claim 1 or 2.

10. In determining the final first candidate, the first candidate whose sum is smallest among the plurality of first candidates is determined as the final first candidate. The generation method according to claim 6.

11. The power system includes at least one of a solar power generator and a fuel cell. The method of production according to claim 1 or 2.

12. The power system further includes a power controller that controls the charging and discharging of each battery, The output outputs the charge / discharge plan to each power controller. The method of production according to claim 1 or 2.

13. A generating device for generating a charge / discharge plan for a power system connected to the grid and having multiple batteries and loads, including batteries for electric mobile vehicles, An acquisition unit for acquiring the operation plan of the aforementioned electric mobile body, A generation unit that generates candidate charge / discharge plans for each of the multiple storage batteries, Based on the aforementioned operation plan, an extraction unit excludes from the candidate charge / discharge plans any charge / discharge plans that include charging and discharging during periods when the electric mobile unit is not connected to the power system, and any charge / discharge plans in which the battery charge level of the electric mobile unit scheduled for consumption during the non-connection period cannot be secured. A cost calculation unit calculates the operating cost of the power system for the candidate charge / discharge plan after exclusion, A decision unit that determines the charge / discharge plan based on the aforementioned operating costs, The system comprises an output unit that outputs the determined charge / discharge plan, generator.

14. A generation program that causes a computer to execute a generation method for generating a charge and discharge plan for a power system connected to the grid and having multiple batteries and loads, including batteries for electric mobile devices, On the computer, The operation plan of the aforementioned electric mobile unit is obtained, The following are candidate charge / discharge plans for each of the multiple storage batteries: Based on the aforementioned operation plan, from the candidate charge / discharge plans, exclude the candidate charge / discharge plans that include charging and discharging during periods when the electric mobile body is not connected to the power system, and the candidate charge / discharge plans that do not ensure sufficient battery charge for the electric mobile body during the period of non-connection. The operating costs of the power system are calculated for the candidate charge / discharge plans after the exclusions. Based on the aforementioned operating costs, the charge / discharge plan is determined. Output the determined charge / discharge plan and execute the processing. Generation program.

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