Power management system and method

Abstract

To appropriately provide adjustment power bid in a supply and demand adjustment market.SOLUTION: A power supply management system 1 for managing a power generation facility 2 and a storage battery 3 that provide an adjustment capacity bid in a supply and demand adjustment market, wherein the following functional units are realized by a processor 101 executing a predetermined computer program stored in a memory 102: an acquisition unit 61 that acquires an adjustment capacity bid amount to the supply and demand adjustment market, an allowable storage power amount of the storage battery, a charging and discharging planned plan for charging and discharging the storage battery, and weather forecast information at an installation location of the power generation facility; The system includes the power generation amount prediction unit 62 that predicts the future power generation amount of the power generation facility, the scenario generation unit 63 that generates a plurality of future scenarios of the predicted power generation amount and the execution amount of the adjustment capacity based on the predicted power generation amount and the adjustment capacity bid amount, the constraint setting unit 64 that sets the constraint of the power transaction based on the plurality of scenarios, the charge / discharge plan, and the allowable power storage amount, and the power transaction proposal determination unit 65 that determines the power transaction proposal satisfying the constraint.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a power management system and method. [Background technology]

[0002] Electricity trading is usually conducted in two markets: the day-ahead market (spot market) and the intraday market (hourly advance market). In these markets, electricity is traded in 48 time slots, each divided into 30-minute intervals. In the day-ahead market, electricity trading for all 48 time slots for the following day takes place at 10:00 a.m., while in the intraday market, electricity trading takes place up to one hour before each time slot.

[0003] When the balance between supply and demand is disrupted in these markets, power companies must adjust supply and demand. This is done by receiving surplus electricity or supplying electricity to make up for the shortage. The ability to adjust supply and demand in this way is called balancing power, and with the increase in renewable energy, it has become a new trading opportunity in the supply and demand balancing market.

[0004] Specifically, a contract to supply 10 kWh of electricity between 6:00 and 9:00 am is sold for 100 yen. This type of adjustment to supply electricity is called upward adjustment capacity, and conversely, adjustment to supply electricity is called downward adjustment capacity.

[0005] Storage batteries are sometimes used for this type of supply and demand adjustment. Storage batteries not only store electricity, but also offer more options for selling adjustment power in the supply and demand adjustment market. In other words, storage batteries can avoid shortage imbalances by storing electricity and discharging it during power shortages, and improve profitability by taking into account the difference in electricity prices at different times, as well as gain profits by using adjustment power.

[0006] For example, a battery with a maximum storage capacity of 500 kW only needs to have a remaining capacity of 100 kWh or more when the upward adjustment capacity is 100 kWh, and less than 400 kWh when the downward adjustment capacity is 100 kWh, and can exert adjustment capacity within these ranges.

[0007] Patent document 1 describes a charge / discharge control program that generates a charge / discharge plan for a storage battery that reduces electricity charges and battery degradation by solving an optimization problem of an objective function that minimizes electricity charges and battery degradation based on a power demand forecast. [Prior art documents] [Patent documents]

[0008] [Patent Document 1] Japanese Patent Application Laid-Open No. 2016-73113 Summary of the Invention [Problem to be solved by the invention]

[0009] It is difficult to find constraints in time-series balancing market bidding due to the uncertainty of weather and the uncertainty of contract performance in balancing markets.

[0010] Therefore, the present invention has been made in consideration of the above-mentioned problems, and an object of the present invention is to provide a technology for appropriately providing adjustment capacity bid for in a supply and demand adjustment market. [Means for solving the problem]

[0011] Therefore, the present invention has been made in consideration of the above-mentioned problems, and provides a power management system that manages power generation facilities and storage batteries that provide adjustment capacity bids in a supply and demand balancing market, the power management system comprising: a processor and a memory used by the processor, and the processor executes a predetermined computer program stored in the memory to realize the following functional units: an acquisition unit that acquires an adjustment capacity bid amount for the supply and demand balancing market, an allowable storage capacity of the storage battery, an existing charging and discharging plan for charging and discharging the storage battery, and weather forecast information for a location where the power generation facility is installed; a power generation amount prediction unit that predicts a future power generation amount of the power generation facility based on the weather forecast information; a scenario generation unit that generates a plurality of future scenarios of the predicted power generation amount and the actual amount of adjustment capacity based on the predicted power generation amount predicted by the power generation amount prediction unit and the adjustment capacity bid amount; a constraint setting unit that sets constraints on electricity trading in the supply and demand balancing market based on the plurality of scenarios, the existing charging and discharging plan, and the allowable storage capacity; and an electricity trading plan determination unit that determines an electricity trading plan that satisfies the constraints. [Effects of the Invention]

[0012] According to the present invention, it is possible to appropriately provide the adjustment capacity bid for in the supply and demand adjustment market. [Brief explanation of the drawings]

[0013] [Figure 1] FIG. 1 is a functional block diagram showing an example of the configuration of a power management system. [Figure 2] FIG. 1 is a diagram showing the relationship between battery demand and market purchase amount. [Figure 3] FIG. 10 is a diagram showing the relationship between the storage battery and the degree of consumption. [Figure 4] 10 is a flowchart showing an example of a process for outputting an electricity trade proposal. [Figure 5] FIG. 2 is a diagram showing an example of the data structure of a scenario DB. [Figure 6] FIG. 10 is a diagram showing an example of a data structure of a storage amount increase / decrease scenario. [Figure 7] FIG. 10 is a diagram showing the relationship between adjustment capacity bid amounts and power storage requests. [Figure 8]FIG. 2 is a diagram showing an example of the data structure of an adjustment capacity bidding DB. [Figure 9] FIG. 4 is a diagram showing an example of the data structure of a power storage state request DB. [Figure 10] FIG. 4 is a diagram showing an example of the data structure of a storage battery DB. [Figure 11] FIG. 2 is a diagram showing an example of the data structure of a weather forecast DB. [Figure 12] 10 is a diagram showing an example of the data structure of a charge / discharge plan DB. [Figure 13] FIG. 10 is a diagram showing an example of a GUI. DETAILED DESCRIPTION OF THE INVENTION

[0014] Hereinafter, specific examples of power management systems according to embodiments of the present invention will be described with reference to the drawings. Note that the present invention is not limited to the examples, but is defined by the claims.

[0015] FIG. 1 is a functional block diagram showing an example of the configuration of a power supply management system.

[0016] The power supply management system 1 is communicatively connected to a power generation facility 2, a plurality of storage batteries 3, and an electricity market 4. The power supply management system 1 manages the power generation facility 2 and the storage batteries 3 that provide adjustment power bid in the supply and demand adjustment market.

[0017] The power generation facility 2 is a facility that generates electricity using renewable energy such as solar light. The renewable energy may be hydropower, wind power, geothermal power, biomass, etc. The power generation facility 2 may also be a thermal power generation facility.

[0018] The storage battery 3 stores the power generated by the power generation facility 2 and supplies the stored power to the power market 4. The power stored in the storage battery 3 may be used in an adjacent factory or the like.

[0019] The electricity market4 includes the day-ahead market, the intraday market, and the balancing market. In these markets, electricity is traded in 48 time slots, each divided into 30-minute intervals. In the day-ahead market, electricity trading takes place at 10:00 AM for all 48 time slots of the following day. In the intraday market, electricity trading takes place up to one hour before each time slot. In the balancing market, balancing power, which adjusts the supply and demand of electricity, is traded.

[0020] The power management system 1 includes at least one processor 101, at least one memory 102, and an interface 103. The processor 101 realizes each function described below by reading and executing predetermined computer programs stored in the memory 102. The interface 103 includes a communication interface and a user interface.

[0021] The power supply management system 1 further includes a storage unit 5 and a calculation unit 6. The storage unit 5 includes an adjustment power bidding database (hereinafter referred to as DB) 51, a charge / discharge planned DB 52, a weather forecast DB 53, a storage battery request DB 54, a scenario DB 55, and a storage battery DB 56.

[0022] An adjustment capacity bidding database (hereinafter referred to as DB) 51 stores information related to bidding for adjustment capacity in the supply and demand adjustment market. An existing charge / discharge plan DB 52 stores information related to an existing charge / discharge plan that has already been created to charge / discharge the storage battery 3. For example, the existing charge / discharge plan may be created based on the amount of adjustment capacity bid to the day-ahead market and the amount of power used in an adjacent factory.

[0023] The weather forecast DB 53 stores weather forecast information for the location where the power generation facility 2 is installed. The battery requirement DB 54 stores information about the power storage state required for the battery 3.

[0024] The scenario DB 55 stores a power generation scenario, an adjustment capacity execution scenario, and a storage capacity increase / decrease scenario. The power generation scenario indicates a future scenario for the power generation capacity of the power generation facility 2. The adjustment capacity execution scenario indicates a future scenario for the execution amount of adjustment capacity. The storage capacity increase / decrease scenario indicates a future scenario for an increase / decrease in the storage capacity of the storage battery 3. The storage battery DB 56 stores information on the maximum storage capacity of the storage battery 3, etc.

[0025] The calculation unit 6 includes an acquisition unit 61 , a power generation amount prediction unit 62 , a scenario generation unit 63 , a constraint setting unit 64 , an electricity trade plan determination unit 65 , and an output unit 66 .

[0026] The acquisition unit 61 acquires the adjustment capacity bid amount, the storage capacity allowance and the existing charge / discharge plan of the storage battery 3, and weather forecast information. Specifically, the acquisition unit 61 acquires the adjustment capacity bid amount from the adjustment capacity bid DB 51, the storage capacity allowance of the storage battery 3 from the storage battery request DB 54, the existing charge / discharge plan from the existing charge / discharge plan DB 52, and weather forecast information from the weather forecast DB 53. The acquisition unit 61 may also acquire a predicted electricity price when the adjustment capacity of the power generation facility 2 and the storage battery 3 is provided.

[0027] The power generation amount prediction unit 62 predicts the future power generation amount of the power generation facility 2 as a predicted power generation amount based on weather forecast information for the installation location of the power generation facility 2.

[0028] The scenario generation unit 63 generates a power generation amount scenario, an adjustment capacity execution amount scenario, and a storage amount increase / decrease scenario. Specifically, the scenario generation unit 63 generates a plurality of future scenarios for the power generation amount of the power generation facility 2, the execution amount of adjustment capacity, and an increase / decrease in the storage amount of the storage battery 3, based on the predicted power generation amount predicted by the power generation amount prediction unit 62 and the adjustment capacity bid amount. The scenario generation unit 63 does not need to generate a storage amount increase / decrease scenario. Here, since there is uncertainty in the weather, there is also uncertainty in the power generation amount of the power generation facility 2 and the execution amount of adjustment capacity. Therefore, the scenario generation unit 63 generates a plurality of scenarios for each occurrence probability.

[0029] The constraint setting unit 64 sets constraints on electricity trading in the balancing market based on the multiple scenarios generated by the scenario generation unit 63 and the existing charging / discharging plans and storage capacity of the storage battery 3. The constraint setting unit 64 may calculate the cost of electricity trading based on the predicted electricity price, and set a constraint to minimize the difference between the calculated cost of electricity trading and the difference obtained by subtracting the final remaining energy storage value from the depletion level of the storage battery 3 when providing balancing capacity. In this case, the constraint setting unit 64 sets constraints on electricity trading in the balancing market based on a cost function C expressed by Equation 1.

[0030] Cost function C=Σtptvt+Fb(bt) (Equation 1)

[0031] Here, p is the price, v is the trading volume, b is the remaining amount of stored electricity (see Figure 2), and Fb is a function that indicates the quality of the state of the storage battery 3 (see Figure 3).

[0032] The constraint setting unit 64 may set a constraint on the trading volume v based on a cost function C weighted by the average of each scenario.

[0033] The power trade plan determiner 65 determines an power trade plan that satisfies the constraints set by the constraint setter 64. The outputter 66 outputs to a user the power trade plan determined by the power trade plan determiner 65. The outputter 66 may be a display, a printer, or the like.

[0034] FIG. 2 is a diagram showing the relationship between battery demand and market purchase amount.

[0035] The starting remaining capacity must satisfy the battery requirement at all times, i.e., the starting remaining capacity must be equal to or less than the battery requirement upper limit and equal to or greater than the battery requirement lower limit at all times.

[0036] The amount of charge at the start of each hour is the sum of the remaining charge at the start of the previous hour, the change in the amount of stored electricity, the planned amount of charging and discharging, and the amount of market purchases. As an example, the remaining charge at the start of hour 2 is 20 kWh, which is the sum of the remaining charge at the start of hour 1 (30 kWh), the change in the amount of stored electricity (-20 kWh), the planned amount of charging and discharging (5 kWh), and the amount of market purchases (5 kWh).

[0037] In this example, the conditions are met for all times, so the market purchase amount is appropriate. However, if the market purchase amount for time 5 is set to 0, the remaining amount at the start of time 6 will be 70 kWh, which is inappropriate.

[0038] FIG. 3 is a diagram showing the relationship between the storage battery and the degree of consumption.

[0039] The degree of depletion of the storage battery 3 is calculated based on a state function of the storage battery 3. Specifically, for example, the degree of depletion of a 200 kWh storage battery 3 is approximately 0 when the charge amount of the storage battery 3 is 50%, and increases as the charge amount approaches 0% and 100%.

[0040] FIG. 4 is a flowchart illustrating an example of the process for outputting an electricity trade proposal.

[0041] The power management system 1 executes a power trade plan output process to determine an electricity trade plan that satisfies the constraints of electricity trading in the supply and demand balancing market and output the determined electricity trade plan. First, the acquisition unit 61 acquires the adjustment capacity bid amount, the storage capacity and existing charge / discharge plan of the storage battery 3, and weather forecast information (S41).

[0042] Next, the power generation amount prediction unit 62 predicts the future power generation amount of the power generation facility 2 as a predicted power generation amount based on the weather forecast information for the installation location of the power generation facility 2 (S42).

[0043] Next, the scenario generation unit 63 generates a plurality of future scenarios of the power generation amount of the power generation facility 2, the adjustment capacity execution amount of the adjustment capacity of the power generation facility 2 and the storage battery 3, and the increase / decrease in the amount of stored power in the storage battery 3, based on the predicted power generation amount predicted by the power generation amount prediction unit 62 and the adjustment capacity bid amount (S43). That is, the scenario generation unit 63 generates a power generation amount scenario, an adjustment capacity execution amount scenario, and an amount of stored power increase / decrease scenario, which will be described later in Fig. 5 (S43).

[0044] Next, the constraint setting unit 64 sets constraints on electricity trading in the supply and demand balancing market based on the multiple scenarios generated by the scenario generating unit 63, the existing charge and discharge plan and the allowable storage capacity of the storage battery 3 (S44).

[0045] Next, the power trade plan determination unit 65 determines an power trade plan that satisfies the constraints set by the constraint setting unit 64 (S45), and the output unit 66 outputs the power trade plan determined by the power trade plan determination unit 65 to the user (S46).

[0046] FIG. 5 is a diagram illustrating an example of the data structure of the scenario DB.

[0047] The scenario DB 55 stores, as item values ​​(column values), times 1 to 6. The scenario DB 55 stores a power generation amount scenario, an adjustment capacity execution amount scenario, and a power storage amount increase / decrease scenario.

[0048] As an example, let us consider a power generation scenario, which means that hour 1 is 3 kWh, hour 2 is 4 kWh, hour 3 is 6 kWh, hour 4 is 10 kWh, hour 5 is 5 kWh, and hour 6 is 2 kWh.

[0049] FIG. 6 is a diagram illustrating an example of a data structure of a storage amount increase / decrease scenario.

[0050] The scenario DB 55 stores times 1 to 6 and probabilities as item values ​​(column values). The probabilities indicate the probability that an increase or decrease in the amount of stored power occurs at each of times 1 to 6. The scenario DB 55 stores scenarios 1 to 3.

[0051] As an example, let us consider scenario 1. Scenario 1 means that hour 1 is 3kWh, hour 2 is 4kWh, hour 3 is 6kWh, hour 4 is -10kWh, hour 5 is 5kWh, hour 6 is 42kWh, and the probability is 20%.

[0052] FIG. 7 is a diagram showing the relationship between the adjustment capacity bid amount and the power storage request.

[0053] The adjustment reserve bid amount requires the storage battery 3 to satisfy the conditions expressed by Equations 2 and 3. Battery demand upper limit = maximum storage capacity - downward adjustment capacity bid, (2) Battery demand lower limit = Adjustment power bid amount (3)

[0054] As an example, we will explain the case of storage battery 3 with a maximum storage capacity of 100 kWh. The upward adjustment reserve bid amount means that time 1 is 0 kWh, time 2 is 0 kWh, time 3 is 0 kWh, time 4 is 20 kWh, time 5 is 0 kWh, and time 6 is 0 kWh. The downward adjustment reserve bid amount means that time 1 is 0 kWh, time 2 is 0 kWh, time 3 is 0 kWh, time 4 is 0 kWh, time 5 is 0 kWh, and time 6 is 40 kWh.

[0055] In this case, the upper battery requirement limits are 100 kWh at time 1, 100 kWh at time 2, 100 kWh at time 3, 100 kWh at time 4, 100 kWh at time 5, and 60 kWh at time 6. The lower battery requirement limits are 0 kWh at time 1, 0 kWh at time 2, 0 kWh at time 3, 20 kWh at time 4, 0 kWh at time 5, and 0 kWh at time 6.

[0056] FIG. 8 is a diagram illustrating an example of the data structure of the adjustment capacity bidding DB.

[0057] The adjustment capacity bidding DB 51 stores, as item values ​​(column values), a bid ID, a schedule, a target time, an increase / decrease, and an adjustment capacity.

[0058] The bid ID is an identifier that uniquely identifies each bid for control power. The date indicates the date on which control power will be provided. The target time indicates the target time for which control power will be provided. Up / down indicates up control power or down control power. The amount of control power indicates the amount of control power at the time of providing control power.

[0059] As an example, the first line of the adjustment capacity bidding DB 51 will be described. The first line relates to bid ID 1. This first line indicates that the date is 2024 / 4 / 1, the target time is 15:00-18:00, the increase / decrease is the increase adjustment capacity, and the amount of adjustment capacity is 200 kWh.

[0060] FIG. 9 is a diagram illustrating an example of the data structure of the power storage state request DB.

[0061] The battery request DB 54 stores the battery ID, date, time, upper limit of the request range, and lower limit of the request range as item values ​​(column values).

[0062] The storage battery ID is an identifier for uniquely identifying each storage battery 3. The date indicates the date for which the remaining amount of stored power of the storage battery 3 is required. The time indicates the time for which the remaining amount of stored power of the storage battery 3 is required. The upper limit of the required range indicates the upper limit of the remaining amount of stored power required of the storage battery 3. The lower limit of the required range indicates the lower limit of the remaining amount of stored power required of the storage battery 3.

[0063] As an example, the first line of the battery request DB 54 will be described. The first line relates to battery ID 1. This first line indicates that the date is 2024 / 4 / 1, the target time is 15:00, the upper limit of the requested range is 1000 kWh, and the lower limit of the requested range is 200 kWh.

[0064] FIG. 10 is a diagram illustrating an example of the data structure of the storage battery DB.

[0065] The storage battery DB 56 stores a storage battery ID and a capacity (kWh) as item values ​​(column values).

[0066] The storage battery ID is an identifier for uniquely identifying each storage battery 3. The capacity indicates the maximum power storage capacity of each storage battery 3.

[0067] As an example, the first line of the storage battery DB 56 will be described. The first line relates to storage battery ID 1. This first line indicates that the maximum storage capacity of storage battery 3 is 15 kWh.

[0068] FIG. 11 is a diagram illustrating an example of the data structure of the weather forecast DB.

[0069] The weather forecast DB 53 stores, as item values ​​(column values), a forecast target start time, a forecast target end time, a forecast announcement time, a location, weather, and temperature. The weather forecast DB 53 may also store precipitation amount, wind speed, and the like.

[0070] The forecast target start time indicates the start time of the weather forecast for the installation location of the power generation facility 2. The forecast target end time indicates the end time of the weather forecast for the installation location of the power generation facility 2. The forecast announcement time indicates the time when the weather forecast for the target time for the installation location of the power generation facility 2 is announced. The location indicates the installation location of the power generation facility 2. The weather indicates the weather for the target time for the installation location of the power generation facility 2. The temperature indicates the temperature at the location where the power generation facility 2 is installed at the target time.

[0071] As an example, the first line of the weather forecast DB 53 will be described. The first line is for a forecast start time of 08:00 on 2022 / 10 / 06. This first line indicates that the forecast end time is 09:00 on 2022 / 10 / 06, the forecast announcement time is 11:00 on 2022 / 10 / 05, the location is Tokyo, the weather is clear, and the temperature is 20°C.

[0072] FIG. 12 is a diagram illustrating an example of the data structure of the charge / discharge plan DB.

[0073] The charge / discharge plan DB 52 stores market, date, slot, buying / selling, trading amount, etc. as item values ​​(column values).

[0074] The market indicates the day-ahead market, the hourly market, or the supply and demand adjustment market. The date indicates the date on which a bid was made to the electricity market 4. The slot indicates the time slot (slot) on the date on which a bid was made to the electricity market 4. The buy / sell indicates a sell bid (upward adjustment) or a buy bid (downward adjustment) to the electricity market 4. The trading volume indicates the electricity trading volume bid on the electricity market 4.

[0075] As an example, the first line of the charge / discharge plan DB 52 will be explained. The first line relates to the previous market. The first line indicates that the date is 2022 / 10 / 06, the slot is 4, the transaction is a sell bid, and the transaction volume is 10 kWh.

[0076] FIG. 13 is a diagram illustrating an example of the GUI.

[0077] The power trade proposal is displayed on the output unit 66. The power trade proposal includes, as item values ​​(column values), the upper limit of the battery requirement, the lower limit of the battery requirement, the increase or decrease in the amount of stored power, the planned amount of charging or discharging, the amount of market purchase, and the remaining amount at the start.

[0078] The user can check the power trading proposal displayed on the output unit 66 and consider an operation plan including the market purchase amount.

[0079] According to this configuration, the power management system 1, which manages the power generation equipment 2 and the storage battery 3 that provide adjustment capacity bids in the balancing market, includes an acquisition unit 61, a power generation amount prediction unit 62, a scenario generation unit 63, a constraint setting unit 64, and an energy trade plan determination unit 65. The acquisition unit 61 acquires the amount of adjustment capacity bid to the balancing market, the storage capacity of the storage battery 3, a charging / discharging plan for charging / discharging the storage battery 3, and weather information for the installation location of the power generation equipment 2. The power generation amount prediction unit 62 predicts the future power generation amount of the power generation equipment 2 based on the weather information. The scenario generation unit 63 generates multiple future scenarios of the predicted power generation amount and the actual amount of adjustment capacity based on the predicted power generation amount predicted by the power generation amount prediction unit 62 and the adjustment capacity bid amount. The constraint setting unit 64 sets constraints for energy trading in the balancing market based on the multiple scenarios, the charging / discharging plan, and the storage capacity. The energy trade plan determination unit 65 determines an energy trade plan that satisfies the constraints.

[0080] This makes it possible to appropriately create an operation plan for the power generation facility 2 and the storage battery 3. As a result, it is possible to appropriately provide the adjustment power bid for in the supply and demand adjustment market.

[0081] Furthermore, the acquisition unit 61 acquires the predicted electricity price when the adjustment capacity is provided, and the constraint setting unit 64 calculates the cost of the electricity transaction based on the predicted electricity price, and sets a constraint to minimize the difference between the calculated cost of the electricity transaction and the difference obtained by subtracting the final remaining energy storage value from the consumption level of the storage battery 3 when the adjustment capacity is provided. This makes it possible to achieve both cost reduction and suppression of deterioration of the storage battery 3.

[0082] The present invention is not limited to the above-described embodiments as they are, and in the implementation stage, the components can be modified and embodied within the scope of the gist of the present invention, or multiple components disclosed in the above-described embodiments can be appropriately combined.

[0083] For example, the constraint setting unit 64 may set an allowable probability for the occurrence probability of multiple scenarios, and if the total occurrence probability of scenarios that do not satisfy the constraints among the multiple scenarios is equal to or less than the allowable probability, set the constraints based on the multiple scenarios that satisfy the constraints, the existing charge / discharge plan, and the allowable storage capacity. This makes it possible to exclude extreme scenarios that do not satisfy the constraints.

[0084] For example, a plurality of storage batteries 3 may be provided, and the constraint setting unit 64 may set the constraint on charging / discharging any one of the plurality of storage batteries 3. This allows the amount of electricity stored in each storage battery 3 to be controlled, thereby suppressing deterioration of each storage battery 3.

[0085] For example, the constraint setting unit 64 may set a constraint based on the load for each remaining amount of power stored in the storage battery 3. In this case, the constraint setting unit 64 sets a constraint on electricity trading in the balancing market based on a cost function C expressed by Equation 4. This makes it possible to suppress the load according to the remaining amount of power stored in the storage battery 3, and to suppress deterioration of the storage battery 3.

[0086] Cost function C = Σtptvt + Fb(bt) + A|bt-bt-1| (Equation 4)

[0087] Here, p is the price, v is the trading volume, b is the remaining amount of stored electricity, Fb is a function that indicates the state of the storage battery 3, and A is a constant that takes into account the load on the storage battery 3.

[0088] For example, the constraint setting unit 64 may set a constraint based on the selling price of electricity in the surplus imbalance or the penalty amount of the shortage imbalance. In this case, the constraint setting unit 64 sets a constraint on electricity trading in the balancing market based on a cost function C expressed by Equation 5.

[0089] Cost function C = Σtptvt + Fb(bt) + S|bt-bt-1| (Equation 5)

[0090] Here, p is the price, v is the transaction volume, b is the remaining amount of stored energy, Fb is a function that indicates the state of the storage battery 3, and S is a function that indicates the cost of selling electricity as a surplus imbalance or paying a penalty as a shortage imbalance. Note that an imbalance is selling electricity that deviates from the plan or paying a penalty. In the case of selling electricity, this should be avoided as much as possible, as it often results in a low price. However, when the load on the storage battery 3 is taken into consideration, it may be desirable to treat it as an imbalance.

[0091] The present invention is not limited to the above-described embodiments and includes various modifications. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and the present invention is not necessarily limited to those including all of the described configurations. Furthermore, it is possible to replace part of the configuration of one embodiment with the configuration of another embodiment, or to add the configuration of another embodiment to the configuration of one embodiment. Furthermore, it is possible to add, delete, or replace part of the configuration of each embodiment with other configurations. [Explanation of symbols]

[0092] 1... Power supply management system, 2... Power generation facility, 3... Storage battery, 61... Acquisition unit, 62... Power generation prediction unit, 63... Scenario generation unit, 64... Constraint setting unit, 65... Power trading proposal determination unit, 101... Processor, 102... Memory

Claims

1. A power supply management system that manages power generation facilities and storage batteries that provide adjustment power bid in a supply and demand adjustment market, a processor and a memory used by the processor; The processor executes the predetermined computer program stored in the memory to realize the following functional units: an acquisition unit that acquires an adjustment capacity bid amount to the supply and demand adjustment market, an allowable storage capacity of the storage battery, an existing charge / discharge plan for charging / discharging the storage battery, and weather forecast information for a location where the power generation facility is installed; a power generation amount prediction unit that predicts a future power generation amount of the power generation facility based on the weather forecast information; a scenario generation unit that generates a plurality of future scenarios of the predicted power generation amount and the execution amount of the adjustment capacity based on the predicted power generation amount predicted by the power generation amount prediction unit and the adjustment capacity bid amount; a constraint setting unit that sets constraints on electricity trading in the balancing market based on the plurality of scenarios, the existing charging / discharging plan, and the allowable storage capacity; and a power trade plan determination unit that determines a power trade plan that satisfies the constraints.

2. the acquisition unit acquires a predicted electricity price at the time of providing the adjustment capacity, The constraint setting unit calculating a cost of the electricity transaction based on the predicted electricity price; setting the constraint so that the difference is minimized based on the calculated cost and a difference obtained by subtracting a final remaining energy storage value from the consumption level of the storage battery when the adjustment capacity is provided; The power management system of claim 1 .

3. The constraint setting unit setting an allowable probability for the occurrence probabilities of the plurality of scenarios; when a total probability of occurrence of a scenario that does not satisfy the constraint among the plurality of scenarios is equal to or less than the allowable probability, setting a constraint on electricity trading in the supply and demand balancing market based on the plurality of scenarios that satisfy the constraint, the existing charging and discharging plan, and the allowable energy storage capacity; The power management system of claim 2 .

4. the constraint setting unit sets the constraint on charging / discharging any one of the plurality of storage batteries. The power management system of claim 1 .

5. the constraint setting unit sets the constraint based on a load for each remaining amount of power stored in the storage battery. The power management system of claim 2 .

6. the constraint setting unit sets the constraint based on a power selling price within a surplus imbalance or a penalty amount for a shortage imbalance. The power management system of claim 2 .

7. A power supply management method in which a power supply management system manages power generation facilities and storage batteries that provide adjustment power bid in a supply and demand adjustment market, the method comprising: acquiring an adjustment capacity bid amount to the supply and demand adjustment market, an allowable storage capacity of the storage battery, an existing charge / discharge plan for charging / discharging the storage battery, and weather forecast information for an installation location of the power generation facility; predicting a future predicted power generation amount of the power generation facility based on the weather forecast information; generating a plurality of future scenarios of the predicted power generation amount and the amount of the adjustment capacity implemented based on the predicted power generation amount and the adjustment capacity bid amount; setting constraints on electricity trading in the balancing market based on the plurality of scenarios, the existing charging / discharging plan, and the allowable storage capacity; determining a power trading proposal that satisfies the constraints.

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