Energy storage device operation plan preparing device, energy storage device value evaluation method, and program

Abstract

To provide an energy storage device operation plan preparing device, an energy storage device value evaluation method, and a program capable of further accurately evaluating an economical value of the energy saving device when the energy saving device is operated in multi-use, and capable of enhancing business predictability of an owner of the energy saving device.SOLUTION: An energy storage device operation plan preparing device of an embodiment includes a calculation unit which uses a sum-amount of an economical value obtained by a BCP operation of the energy storage device and an economical value obtained by a normal operation of the energy storage device as an objective function, and prepares an operation plan of the energy storage device by solving a mathematical optimization problem which maximizes the sum-amount while including a stored energy amount necessary for a BCP operation which changes at each time point and a loss avoidance value obtained by the BCP operation which changes at each time point in at least one of the objective function and a constraint condition.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] An embodiment of the present invention relates to an energy storage device operation planning device, an energy storage device value evaluation method, and a program. [Background technology]

[0002] As renewable energy sources become more widespread, the importance of energy storage devices (hereinafter referred to as "energy storage devices"), such as storage batteries, hydrogen energy storage, and thermal storage systems, is increasing. These energy storage devices are expected to be used for a variety of purposes, including absorbing surplus renewable energy power, compensating for power shortages caused by excess demand, arbitrage trading of commercial power, ancillary services such as the adjustment power and inertia of power systems, mitigating overload on transmission lines, peak shifting for power consumers, and use in business continuity plans (BCPs) during disasters.

[0003] However, the installation cost of energy storage devices is still high, and it is difficult to obtain economic benefits that exceed the introduction cost of energy storage devices for a single use. Therefore, the idea of ​​multi-use, which considers the value of energy storage devices when used for multiple uses, is important. On the other hand, against the backdrop of the recent increase in the frequency and severity of disasters, the importance of using energy storage devices for BCP purposes (hereinafter referred to as BCP uses) to supply electricity to important loads during disasters is increasing, and even in the case of multiple uses of energy storage devices, there is a growing need for methods of determining the operation of energy storage devices that take BCP uses into consideration and methods of evaluating the economic value of energy storage devices.

[0004] Conventional technologies include techniques for optimizing the capacity of storage batteries used to supply power during power outages. For example, Patent Document 1 is a technology related to determining the capacity of a PV (Photovoltaics) system with storage batteries that takes into account power supply during power outages, and shows a method for calculating the capacity of storage batteries required to supply power to a load from PV and storage batteries when a commercial grid is blacked out. Patent Document 2 also proposes a storage battery operation method that minimizes backup charging power by calculating the required charging amount from the power outage recovery time and demand forecast value in order to increase the capacity of backup storage batteries that can be used for other purposes.

[0005] In other conventional technologies, a fixed percentage of the energy capacity of an energy storage device is reserved for emergency use, and operation plans are drawn up and economic value assessments are performed assuming that the device will be used for BCP purposes. For example, Non-Patent Document 1 studies operation and capacity design assuming peak shaving, arbitrage, and BCP purposes for storage batteries installed at consumers. In this conventional technology, operation plans are drawn up and capacity design is performed by dividing the energy capacity of the storage battery into normal use and BCP use, and the capacity of the storage battery allocated to each use is a fixed amount. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Special Publication No. 2022-508027 [Patent Document 2] Patent No. 6985813 [Non-patent literature]

[0007] [Non-Patent Document 1] JM Gants, SM Amin, AM Giacomoni, “Optimal Capacity Partitioning of Multi-Use Customer-Premise Energy Storage Systems” IEEE TRANSACTIONS ON SMART GRID, Vol.5, No.3, May 2014 Summary of the Invention [Problem to be solved by the invention]

[0008] However, Patent Document 1 does not take into account the risk of power outages or changes over time in the amount of stored energy required for BCP purposes, and does not assume operation while simultaneously considering BCP purposes and normal uses such as suppressing renewable energy fluctuations and providing ancillary services for the grid. Furthermore, Patent Document 2 does not optimize the operation of the storage battery, taking into account the economic benefits obtained from other normal uses, and does not perform overall optimization by considering the balance between the value from normal uses and the value from BCP uses.

[0009] Furthermore, Non-Patent Document 1 states that when considering multiple uses, including BCP purposes, for energy storage devices, the risk of power outages at facilities and the amount of power required in emergencies vary depending on the surrounding environment and time of year, so keeping the charging power for BCP purposes fixed at all times limits the use of the energy storage device's resources for other purposes, which is undesirable from the perspective of effective use and maximization of the value of the energy storage device.

[0010] The present invention has been made in consideration of the above, and aims to provide an energy storage device operation planning device, an energy storage device value evaluation method, and a program that enable more accurate economic value evaluation of an energy storage device when the energy storage device is operated in multiple uses, thereby improving the business predictability of the owner of the energy storage device. [Means for solving the problem]

[0011] An energy storage device operation plan development device of an embodiment has an objective function that is the sum of the economic value obtained by BCP operation of an energy storage device and the economic value obtained by normal operation of the energy storage device, and includes an amount of stored energy required for BCP operation, which changes with time, and an amount of loss avoidance obtained by BCP operation, which changes with time, in at least one of the objective function and constraint conditions, and is equipped with a calculation unit that solves a mathematical optimization problem that maximizes the sum to formulate an operation plan for the energy storage device. [Brief description of the drawings]

[0012] [Figure 1] FIG. 1 is a diagram illustrating an example of a configuration of an energy storage device value assessment system according to the first embodiment. [Diagram 2] FIG. 2 is a diagram illustrating an example of a configuration of the energy storage device operation system according to the first embodiment. As shown in FIG. [Diagram 3] FIG. 3 is a diagram illustrating an example of a configuration of a BCP value calculation unit included in the energy storage device value assessment system and the energy storage device operation system according to the first embodiment. [Figure 4] FIG. 4 is a diagram showing an example of the equipment configuration of an energy storage owner equipment to be evaluated by the energy storage device value evaluation system according to the first embodiment. [Diagram 5] FIG. 5 is a flowchart showing an example of a flow of evaluating the value of an energy storage device in the energy storage device value evaluation system according to the first embodiment. [Figure 6] FIG. 6 is a flowchart showing an example of a flow of formulating an operation plan for the energy storage device in the energy storage device operation system according to the first embodiment. [Figure 7] FIG. 7 is a diagram showing an example of a transition of the amount of stored energy according to the operation plan formulated by the operation optimization of the energy storage device value assessment system and the energy storage device operation system according to the first embodiment. [Figure 8]FIG. 8 is a diagram illustrating an example of a configuration of a BCP value calculation unit of the energy storage device value assessment system and the energy storage device operation system according to the second embodiment. [Figure 9] FIG. 9 is a diagram showing an example of the relationship between the amount of stored energy and the loss avoidance amount calculated by the BCP value calculation unit of the energy storage device value assessment system and the energy storage device operation system according to the second embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] Hereinafter, an example of an energy storage device value assessment system and an energy storage device operation system to which the energy storage device operation planning device, the energy storage device value assessment method, and the program according to the present embodiment are applied will be described with reference to the drawings.

[0014] (First embodiment) In this embodiment, the amount of stored energy E of an energy storage device (an example of an energy storage device) that must be satisfied in BCP operation is t bcp This is an example of introducing the above constraints into the optimization problem of the operation of an energy storage device.

[0015] First, an example of the configuration of an energy storage device value assessment system and an energy storage device operation system according to the first embodiment will be described with reference to Figs. 1 to 4. Fig. 1 is a diagram showing an example of the configuration of an energy storage device value assessment system according to the first embodiment. Fig. 2 is a diagram showing an example of the configuration of an energy storage device operation system according to the first embodiment. Fig. 3 is a diagram showing an example of the configuration of an energy storage device value assessment system and a BCP value calculation unit included in the energy storage device operation system according to the first embodiment. Fig. 4 is a diagram showing an example of the equipment configuration of an energy storage owner equipment to be assessed by the energy storage device value assessment system according to the first embodiment.

[0016] The energy storage device value assessment system 1-1 (an example of an energy storage device operation plan drafting device) according to this embodiment includes an energy storage introduction / operational profit assessment unit 2-1, a BCP value calculation unit 3, a market value calculation unit 4, an energy storage owner condition / energy storage device cost condition setting unit 5, and a display unit 7. When the energy storage device value assessment system 1-1 is used to formulate an energy storage device operation plan, an energy storage device operation system 1-2 (an example of an energy storage operation plan drafting device) shown in Fig. 2 may be configured. In this case, the difference between the energy storage device operation system 1-2 and the energy storage device value assessment system 1-1 is that the energy storage introduction / operational profit assessment unit 2-1 is replaced with an energy storage device operation plan unit 2-2, and a control unit 6 is added.

[0017] The BCP value calculation unit 3 calculates the loss avoidance amount C obtained by the BCP operation of the energy storage device, which changes with time. t bcp , and the amount of stored energy (energy storage amount) E required for BCP operation, which changes with time t bcp This is an example of a BCP value calculation model for calculating the stored energy amount E t bcp is the amount of stored energy E t bcp Alternatively, the calculation may be performed using one or more values ​​of the power demand, the amount of renewable energy power generation, the temperature, the humidity, the amount of energy stored in the energy storage device, and the probability of disaster occurrence at a time other than the target time t=t1 for which the value is to be calculated.

[0018] The market price calculation unit 4 calculates the price of the amount of power (kWh) for each hour (electricity kWh price), the price of the power generation capacity (kW) (electricity kW price), and the price of adjustment capacity (adjustment capacity price).

[0019] The energy storage owner condition / energy storage device cost condition setting unit 5 sets various conditions such as the energy storage system unit price (cost of the energy storage device, etc.) and the hourly power demand of the load equipment owned by the energy storage owner.

[0020] The energy storage introduction and operation profit evaluation unit 2-1 uses the total amount (hereinafter referred to as total operation profit) of the economic value obtained by the BCP operation of the energy storage device and the economic value obtained by the normal operation of the energy storage device as an objective function, and calculates the stored energy amount E required for BCP operation, which changes with time. t bcp and the loss avoidance amount C obtained by BCP operation that changes with time t bcp in at least one of the objective function and the constraint condition, and formulates an operation plan for the energy storage device by solving a mathematical optimization problem (hereinafter, referred to as operation optimization) that maximizes the total operation profit.

[0021] In this embodiment, the energy storage introduction / operation profit evaluation unit 2-1 calculates the amount of stored energy E t bcp and loss aversion amount C t bcp The energy storage introduction / operational profit evaluation unit 2-1 may solve an operational optimization problem in which the time series data is included in at least one of the objective function and the constraint condition.

[0022] The energy storage introduction / operational profit evaluation unit 2-1 also calculates a total economic value of the energy storage device i, which is the sum of the total operation profit of the economic value obtained by the BCP operation of the energy storage device and the economic value obtained by the normal operation of the energy storage device, and the introduction cost of the energy storage device.The energy storage introduction / operational profit evaluation unit 2-1 may then calculate the optimal equipment capacity of the energy storage device i by solving an optimization problem (hereinafter referred to as capacity optimization) that maximizes the sum of the economic value and introduction cost of the energy storage device using the equipment capacity of the energy storage device i as a decision variable.

[0023] The display unit 7 displays the energy storage system profit calculation results including the calculation results of the total economic value by the energy storage introduction / operation profit evaluation unit 2-1.

[0024] The energy storage operation planning unit 2-2 is an example of a calculation unit that solves the operation optimization that maximizes the total operation profit and formulates an operation plan for the energy storage device, similar to the energy storage introduction / operation profit evaluation unit 2-1. In addition, the energy storage operation planning unit 2-2 notifies the control unit 6 of the energy storage system operation command value including the formulated operation plan.

[0025] The control unit 6 controls the operation of the energy storage device based on the energy storage system operation command value notified by the energy storage operation planning unit 2-2.

[0026] Here, an example of the equipment configuration of the owner of an energy storage device to be evaluated by the energy storage device value evaluation system 1-1 will be described with reference to Fig. 4. The owner of the energy storage device i (hereinafter also referred to as the energy storage owner) owns an on-site power system connected to a commercial system. It is assumed that a load facility and a renewable energy power source (hereinafter referred to as a renewable energy power source) are connected to this on-site power system. It is assumed that the energy storage owner owns energy storage devices 10-1 to 10-M that store energy in different energy forms. Hereinafter, when there is no need to distinguish between the energy storage devices 10-1 to 10-M, they will be referred to as the energy storage device i.

[0027] Each energy storage device i has a conversion device that is connected to the on-site power grid and converts power into a storable energy form, and an energy storage unit that stores the energy. Examples of combinations of the energy storage unit and the conversion device include a combination of a storage battery and a power converter (inverter), a combination of a hydrogen tank and an electrolysis device / fuel cell, and a combination of a heat storage tank and an electric heater / turbine. Furthermore, for the energy form stored in some of the energy storage devices i, it may be assumed that there is a unique demand for that energy form. This corresponds, for example, to a case where the owner of the energy storage device has a demand for heat on the premises.

[0028] 5 is a flowchart showing an example of a flow of evaluating the value of an energy storage device in the energy storage device evaluation system according to the first embodiment. In the energy storage device evaluation system 1-1 according to this embodiment, the market price calculation unit 4 calculates market prices (e.g., electricity kWh price, electricity kW price, adjustment power price) (step S1-1), and the BCP value calculation unit 3 calculates the value of the BCP (e.g., loss avoidance amount C t bcp and the amount of stored energy E t bcp ) (step S1-2). Furthermore, the energy storage owner condition / energy storage device cost condition setting unit 5 sets the energy storage owner condition / energy storage device cost condition (for example, the cost of the energy storage device i) (step S1-3). Using these values ​​calculated and set in steps S1-1 to S1-3 as input, the energy storage introduction / operational profit evaluation unit 2-1 performs capacity optimization and operation optimization of the energy storage device i.

[0029] The BCP value calculation unit 3 inputs the frequency of disaster occurrence, the demand curve of the important load of the customer, the damage amount due to the power outage of the important load, etc., and calculates the amount of stored energy E required for BCP operation at each time. t bcp and the amount of loss avoidance per time obtained by BCP operation C t bcp And calculate.

[0030] Amount of stored energy required for BCP operation E t bcp and the resulting avoided loss amount C t bcp As a method for calculating this, for example, a method can be applied in which the probability of a disaster occurring and the probability of various associated damage occurring are organized in the form of a fault tree, and the amount of power lost due to a power outage is expressed probabilistically.

[0031] The BCP value calculation unit 3 calculates an expected value of the loss amount by multiplying the probability expression of the power loss due to a power outage by the amount of damage due to the power outage, and compares the amount of loss due to a power outage when energy is stored in the energy storage device i to avoid the power outage with the amount of loss when not stored in the energy storage device i to avoid the power outage, thereby calculating the loss avoidance amount C t bcp At this time, the BCP value calculation unit 3 treats the probability of disaster occurrence, the probability of various damages occurring due to the disaster, the amount of power required to be supplied to the load, etc. as time-varying parameters that change depending on the time and surrounding conditions, and evaluates the loss avoidance amount for each time, thereby calculating the amount of stored energy E required for BCP purposes. t bcp and the resulting avoided loss amount C t bcp Obtain time series data.

[0032] Here, the amount of stored energy required for BCP use E t bcp If the calculation time is t=t1, the stored energy amount E t bcp The input information used in the calculation (for example, power demand, amount of power generated by renewable energy sources, temperature, humidity, amount of energy stored in an energy storage device, and probability of disaster occurrence) may be values ​​other than the calculation target time t=t1.

[0033] The market price calculation unit 4 models the future price of electricity (kWh) (electricity kWh price), the price of power generation capacity (kW) (electricity kW price), and the price of adjustment power (adjustment power price) based on the future power source configuration and electricity market system of the area where the energy storage device i is to be installed, and calculates trend data of these prices over the period for which the economic value of the energy storage device i is to be evaluated.

[0034] The energy storage owner condition / energy storage device cost condition setting unit 5 sets the energy storage owner's normal demand data, the amount of renewable energy power source introduction, the installation upper limit of the energy storage device i, the cost / device parameters of the energy storage device i, and the like.

[0035] The energy storage introduction / operational profit evaluation unit 2-1 evaluates the value of the energy storage device i by performing capacity optimization and operation optimization of the energy storage device i separately into two optimization processes. The energy storage introduction / operational profit evaluation unit 2-1 determines (sets) the initial values ​​(initial capacity values) of the energy capacity (kWh capacity) and output capacity (kW capacity) of the energy storage device i (step S2). Next, the energy storage introduction / operational profit evaluation unit 2-1 updates (modifies) the values ​​of the kWh capacity and kW capacity of the energy storage device i based on a metaheuristic technique such as differential evolution method or PSO (Particle Swarm Optimization) (step S3).

[0036] Thereafter, the energy storage introduction / operational profit evaluation unit 2-1 performs operation optimization in consideration of multiple uses of the energy storage device i, including BCP uses, based on the kWh capacity and kW capacity values ​​of the energy storage device i updated in step S3 (step S4). This operation optimization is desirably performed over a period for which the economic value of the energy storage device i is to be evaluated, and may be performed for an operation period equivalent to the lifespan, for example. In other words, the energy storage introduction / operational profit evaluation unit 2-1 may evaluate the economic value of the energy storage device i over multiple years using an operation plan formulated by the operation optimization.

[0037] However, long-term operational optimization increases the number of variables in the calculation, making it difficult to solve the operational optimization problem. Therefore, it is also possible to divide the operational period into appropriate evaluation periods (e.g., one week) and solve individual operational optimization problems for each divided evaluation period.

[0038] Next, the energy storage introduction / operational profit evaluation unit 2-1 calculates the total economic value of the energy storage device i by adding up the total operational profit of the energy storage device i obtained by the operational optimization and the introduction cost of the energy storage device i, and if the total economic value of the energy storage device i has converged in the capacity optimization process of the energy storage device i (step S5: Yes), it determines that the evaluation of the economic value of the energy storage device i is completed, and calculates the total economic value of the energy storage device i obtained at that time as the value of the energy storage device i (step S6).Then, the display unit 7 displays the calculated value of the energy storage device i (step S7).

[0039] On the other hand, if the total economic value of the energy storage device i has not converged in the process of optimizing the capacity of the energy storage device i (step S5: No), the energy storage introduction / operation revenue evaluation unit 2-1 returns to step S3, updates the kWh capacity and kW capacity of the energy storage device i again, and repeats steps S3 to S5.

[0040] Fig. 6 is a flowchart showing an example of a flow of formulating an operation plan for an energy storage device in the energy storage device operation system according to the first embodiment. When the energy storage device value assessment system is used for formulating an operation plan for an energy storage device i, steps S2, S3, and S5 shown in Fig. 5 may be omitted, and the operation plan for the energy storage device i may be determined according to the procedure of the flowchart shown in Fig. 6.

[0041] Next, the details of the calculation of the operation optimization of the energy storage device i in step S4 in Fig. 5 and Fig. 6 will be described with reference to Fig. 7. Fig. 7 is a diagram showing an example of the transition of the amount of stored energy according to the operation plan formulated by the operation optimization of the energy storage device value assessment system and the energy storage device operation system according to the first embodiment. In Fig. 7, the vertical axis represents the amount of stored energy of the energy storage device i, and the horizontal axis represents time.

[0042] The operational optimization of the energy storage device i can be formulated as a mathematical optimization problem to maximize the total operational profit of the energy storage device i, with the charge / discharge amount of each energy storage device i for each use and the amount of stored energy of each energy storage device i as decision variables. The objective function of this mathematical optimization problem can be written, for example, in the form of the following equation (1).

number

[0043] Loss aversion amount C in the objective function of equation (1) t bcpThe terms other than (i.e., an example of economic value obtained by the normal operation of the energy storage device i) may be added or deleted as appropriate according to the operation purpose of the energy storage device i of the energy storage owner and the system of the electricity trading market. As the constraint conditions of the mathematical optimization problem of the energy storage device i, for example, the constraint on kWh trading profit shown in formula (2), the supply and demand balance constraint shown in formula (3), the update constraint of the energy storage charge amount shown in formula (4), the upper and lower limit constraint of the stored energy amount of the energy storage device i shown in formula (5), the BCP condition constraint of the stored energy amount shown in formula (6), etc. may be considered. Constraint conditions other than formulas (2) to (6) may be added according to the operation conditions of the energy storage owner.

number

number

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[0044] C appearing in the above formula (1) and formula (6) t bcp and E t bcp As the value of , time series data of the amount of stored energy required for BCP use calculated in the above-mentioned BCP value calculation unit 3 and the loss aversion amount obtained thereby are used. By solving the optimization problem having the above-mentioned objective function and constraint conditions using a mathematical optimization problem method such as the simplex method or the interior point method, the maximized economic value during operation of the energy storage device i is calculated in step S4 in Fig. 5 and Fig. 6. In addition, by including the constraint condition of equation (6) in the mathematical optimization problem, an operation plan is obtained by optimization calculation such that the amount of stored energy of the energy storage device i always exceeds the amount of energy required for BCP use, which changes over time, as shown in Fig. 7.

[0045] In this way, the energy storage device value assessment system 1-1 or the energy storage device operation system 102 according to the first embodiment makes it possible to formulate an operation plan for the energy storage device i that balances operation of the energy storage device i for BCP purposes that ensure an optimal amount of stored energy and operation of the energy storage device i in normal times, such as ancillary services for the grid and absorbing surplus renewable power, while taking into account changes over time in the risk of power loss due to power outages. As a result, it becomes possible to more accurately assess the economic value of the energy storage device i when the energy storage device i is operated for multiple uses, thereby improving the business predictability of the owner of the energy storage device i.

[0046] Second embodiment In this embodiment, the amount of energy stored in the energy storage device (energy storage amount) that should be satisfied in the BCP operation is not incorporated into the constraint conditions, and the loss avoidance amount obtained by the BCP operation is expressed as a function of the amount of stored energy. However, in the following explanation, the explanation of the parts that overlap with the explanation of the first embodiment will be omitted.

[0047] Fig. 8 is a diagram showing an example of the configuration of a BCP value calculation unit of the energy storage device value assessment system and the energy storage device operation system according to the second embodiment. Fig. 9 is a diagram showing an example of the relationship between the loss aversion amount and the stored energy amount calculated by the BCP value calculation unit of the energy storage device value assessment system and the energy storage device operation system according to the second embodiment. In Fig. 9, the vertical axis represents the loss aversion amount C t bcp The horizontal axis represents the amount of stored energy E t bcp Represents.

[0048] Regarding the energy storage device value assessment system 1-1 or the energy storage device operation system 1-2 according to this embodiment, the configuration including the energy storage introduction / operational profit assessment unit 2-1, the energy storage operation planning unit 2-2, the BCP value calculation unit 3, the market value calculation unit 4, the energy storage owner condition / energy storage device cost condition setting unit 5, the control unit 6, and the display unit 7 is the same as the configuration of the first embodiment shown in FIG. 1 or FIG. 2.

[0049] In this embodiment, the BCP value calculation unit 3 receives the disaster occurrence frequency, the demand curve of the important load of the customer, and the damage amount due to a power outage of the important load as inputs, and calculates the amount of stored energy E for each hour required for BCP operation. t bcp and the amount of loss avoidance per time obtained by BCP operation C t bcp Then, the energy storage introduction / operational profit evaluation unit 2-1 and the energy storage operation planning unit 2-2 may include the relational expression calculated by the BCP value calculation unit 3 in the constraint conditions of the mathematical optimization problem (operation optimization).

[0050] In this embodiment, the BCP value calculation unit 3 inputs the frequency of disaster occurrence, the demand curve of the important load of the customer, and the damage amount due to a power outage of the important load, and calculates the amount of stored energy E for each hour required for BCP operation. t bcp and the amount of loss avoidance per time obtained by BCP operation C t bcp A function (Ct bcp =f(E t bcp ) is derived. t bcp ) can be calculated, for example, by calculating the amount of energy stored in the energy storage device i for BCP purposes, E t bcp The loss amount due to a power outage when the parameter is changed is calculated sequentially, and the loss avoidance amount C t bcp and the amount of stored energy E t bcp One method is to fit the correlation of the two to an appropriate regression function.

[0051] The form of the regression function to be fitted can be, for example, a polynomial function such as a linear function, a logarithmic function, a square root function, etc. As a result, as shown in Figure 9, the amount of stored energy E t bcp As the loss aversion amount C t bcp A function with a gradually decreasing increase in the amount of stored energy is preferable in expressing the increase and decrease in the value of the BCP relative to the amount of stored energy that actually occurs. t bcp and loss aversion amount C t bcp The relational form of the stored energy E t bcp As the amount of loss aversion increases, C t bcp The increase in the loss avoidance amount C may be gradually decreased. t bcp and the amount of stored energy E t bcp The relationship can be expressed as a probabilistic relationship. That is, if a certain amount of stored energy E t bcp The expected loss aversion for the value of C t bcp The value of may be expressed as a probability distribution.

[0052] In this embodiment, the calculation of the operational optimization of the energy storage device i in step S504 shown in Figs. 5 and 6 is different from the first embodiment in that the amount of stored energy shown in formula (6) is not used as a constraint condition. Instead of formula (6), in the second embodiment, the aforementioned loss aversion amount C t bcp and the amount of stored energy E t bcp A function that expresses the relationship between t bcp =f(E t bcp )) is incorporated into the constraint conditions to configure an operation optimization problem for the energy storage device i. Other than the above, the operation of the second embodiment is the same as that of the first embodiment.

[0053] In this way, according to the energy storage device value assessment system 1-1 and the energy storage device operation system 1-2 according to the second embodiment, the amount of stored energy E required for BCP operation at each time is calculated. t bcp is dynamically determined in the operation optimization calculation, it is possible to compare the economic value of the energy storage device i obtained by normal operation with the economic value of the energy storage device i obtained by BCP operation, and allocate the resources of the energy storage device i to an operation method that brings about higher value. In other words, when the value obtained by normal operation is greater than the BCP value, the stored energy amount E for BCP operation is t bcp It is possible to implement an operation plan that changes the time period and increases the amount of stored energy used for normal operation by reducing the amount of stored energy. As a result, it is possible to formulate an operation plan that increases the economic value of the amount of stored energy and to evaluate the economic value of the energy storage device i.

[0054] As described above, according to the first and second embodiments, it is possible to more accurately evaluate the economic value of the energy storage device i when the energy storage device i is operated in a multi-use manner, thereby improving the business predictability of the owner of the energy storage device i.

[0055] The programs executed by the energy storage device value assessment system 1-1 and the energy storage device operation system 1-2 of this embodiment are provided by being pre-installed in a ROM (Read Only Memory) or the like. The programs executed by the energy storage device value assessment system 1-1 and the energy storage device operation system 1-2 of this embodiment may be provided by being recorded in a computer-readable recording medium such as a CD-ROM, a flexible disk (FD), a CD-R, or a digital versatile disk (DVD) in the form of an installable or executable file.

[0056] Furthermore, the programs executed by the energy storage device value assessment system 1-1 and the energy storage device operation system 1-2 of the present embodiment may be configured to be stored on a computer connected to a network such as the Internet and provided by being downloaded via the network. Also, the programs executed by the energy storage device value assessment system 1-1 and the energy storage device operation system 1-2 of the present embodiment may be configured to be provided or distributed via a network such as the Internet.

[0057] The program executed by the energy storage device value assessment system 1-1 of this embodiment has a modular configuration including the above-mentioned units (energy storage introduction / operational profit assessment unit 2-1, BCP value calculation unit 3, market value calculation unit 4, energy storage owner condition / energy storage device cost condition setting unit 5), and as actual hardware, an example of a processor such as a CPU (Central Processing Unit) reads out and executes the program from the ROM, thereby loading the above-mentioned units onto a main storage device, and the energy storage introduction / operational profit assessment unit 2-1, BCP value calculation unit 3, market value calculation unit 4, and energy storage owner condition / energy storage device cost condition setting unit 5 are generated on the main storage device.

[0058] The program executed in the energy storage device operation system 1-2 of this embodiment has a modular configuration including the above-mentioned units (energy storage operation planning unit 2-2, BCP value calculation unit 3, market value calculation unit 4, energy storage owner condition / energy storage device cost condition setting unit 5, and control unit 6), and as actual hardware, an example of a processor such as a CPU reads out the program from the above-mentioned ROM and executes it, thereby loading the above-mentioned units onto a main storage device, and the energy storage operation planning unit 2-2, BCP value calculation unit 3, market value calculation unit 4, energy storage owner condition / energy storage device cost condition setting unit 5, and control unit 6 are generated on the main storage device.

[0059] Although some embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope and spirit of the invention, and are included in the scope of the invention and its equivalents described in the claims. [Explanation of symbols]

[0060] 1-1 Energy storage device value assessment system 1-2 Energy storage device operation system 2-1 Energy Storage Introduction and Operation Revenue Evaluation Department 2-2 Energy Storage Operation Planning Department 3. BCP Value Calculation Department 4. Market Value Calculation Department 5 Energy storage owner conditions and energy storage device cost condition setting section 6. Control Unit 7 Display section

Claims

1. a calculation unit which uses a total amount of an economic value obtained by a BCP operation of an energy storage device and an economic value obtained by a normal operation of the energy storage device as an objective function, includes an amount of stored energy required for the BCP operation, which changes with time, and an amount of loss avoidance obtained by the BCP operation, which changes with time, in at least one of the objective function and constraint conditions, and formulates an operation plan for the energy storage device by solving a mathematical optimization problem which maximizes the total amount; An energy storage device operation planning device comprising:

2. The energy storage device operation plan making device according to claim 1 , wherein the calculation unit includes, as input data, time series data of the stored energy amount and the loss avoidance amount calculated by a BCP value calculation model.

3. The energy storage device operation plan planning device according to claim 1 , wherein the calculation unit includes a relational expression between the stored energy amount and the loss avoidance amount calculated by a BCP value calculation model in a constraint condition of the mathematical optimization problem.

4. The energy storage device operation plan making device according to claim 3 , wherein a relational expression between the stored energy amount and the loss avoidance amount is such that an increase in the loss avoidance amount gradually decreases as the stored energy amount increases.

5. The energy storage device operation plan planning device according to claim 3 or 4, wherein the loss aversion amount is expressed as a probability distribution of the amount of stored energy.

6. The energy storage device operation planning device of claim 1, wherein the stored energy amount is calculated using one or more values ​​of electricity demand, renewable energy power generation amount, temperature, humidity, the stored energy amount of the energy storage device, and disaster occurrence probability at a time other than the target time for which the stored energy amount is calculated.

7. An energy storage device value evaluation method executed by an energy storage device operation plan planning device, 2. A method for evaluating the value of an energy storage device, comprising: evaluating an economic value of the energy storage device over multiple years using the operation plan formulated by the energy storage device operation plan formulation device according to claim 1.

8. Computer, a calculation unit which uses a total amount of an economic value obtained by a BCP operation of an energy storage device and an economic value obtained by a normal operation of the energy storage device as an objective function, includes an amount of stored energy required for the BCP operation, which changes with time, and an amount of loss avoidance obtained by the BCP operation, which changes with time, in at least one of the objective function and constraint conditions, and formulates an operation plan for the energy storage device by solving a mathematical optimization problem which maximizes the total amount; A program to function as a

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