Battery facility planning system

Abstract

To support a facility planning of a battery system of a consumer.SOLUTION: A computing device determines that a capacity obtained by multiplying a required capacity of an on-site battery of a consumer site by an on-site introduction coefficient is an introduction amount of the on-site battery, and a remainder of the required capacity of the on-site battery is a capacity of a virtual battery. The virtual battery is virtually operated in order to supply power to the consumer site. Actual power supplied from the virtual battery to the consumer site is supplied from the outside of a power receiving point of the consumer site. The computing device acquires actual result information obtained from operation of the on-site battery of the introduction amount and the virtual battery, determines that the on-site introduction coefficient is increased when the actual result information satisfies predetermined conditions, and presents information on the determination to a user.SELECTED DRAWING: Figure 4

Description

[Technical field]

[0001] The present invention relates to battery installation planning. [Background technology]

[0002] Background of the present disclosure is JP 2016-40970 A. JP 2016-40970 A discloses, for example, that "a battery sharing system that manages a plurality of consumers connected to a power distribution network of a power system and manages a usage schedule of a battery shared by the plurality of consumers includes a battery schedule creation unit that creates a battery schedule including instructions for charging and discharging the battery based on battery information, battery usage plan, power distribution network information, power loss information, and contract information, and a battery control command unit that gives the battery schedule or a control command created based on the battery schedule to the battery, and manages the amount of electricity stored in the battery and manages owners who have the right to use the amount of electricity stored" (see, for example, the abstract). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2016-40970 A Summary of the Invention [Problem to be solved by the invention]

[0004] The background art described above allows multiple consumers to share a storage battery, and reduces local power loss by considering storage loss, power transmission loss in the power distribution network, etc. However, while it maximizes the utility of the off-site battery system from the perspective of reducing power loss, it does not consider configuration changes to on-site battery systems that provide higher added value. [Means for solving the problem]

[0005] One aspect of the present invention is a battery equipment planning system that supports equipment planning for an on-site battery at a consumer site, the system including a calculation device and a storage device that stores a program executed by the calculation device, the calculation device determines that the required capacity of the on-site battery at the consumer site multiplied by an on-site installation coefficient is the installation amount of the on-site battery, and the remaining required capacity of the on-site battery is the capacity of a virtual battery, the virtual battery is virtually operated to supply power to the consumer site, and the actual power supplied from the virtual battery to the consumer site is supplied from outside the power receiving point of the consumer site, the calculation device acquires performance information obtained by operating the on-site battery of the installation amount and the virtual battery, and makes a determination to increase the on-site installation coefficient if the performance information satisfies a predetermined condition, and presents information regarding the determination to a user. Effect of the Invention

[0006] According to one aspect of the present invention, it is possible to assist in facility planning for a consumer's battery system. [Brief description of the drawings]

[0007] [Figure 1] FIG. 1 is a diagram for explaining an overview of a power supply system according to an embodiment of the present specification. [Diagram 2] FIG. 1 is a block diagram illustrating an example of a functional configuration included in a power management system according to an embodiment of the present specification. [Diagram 3] 2 illustrates an example of the configuration of hardware included in a power management system. [Figure 4] 4 is a flowchart illustrating an example of processing of the battery equipment planning system. [Diagram 5] 1 is a graph showing a schematic example of a change in power demand at a customer site. [Figure 6] 1 is a graph showing a schematic example of an allocation between an on-site BESS and a virtual BESS. [Figure 7] 1 is a graph showing a schematic diagram of charging and discharging of a virtual BESS. [Figure 8] 1 shows an example of the configuration of an investment effect management table that is prepared for each customer site and that manages information indicating the investment effect of an on-site BESS. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0008] In the following, when necessary for convenience, the description will be divided into multiple sections or examples, but unless otherwise specified, they are not unrelated to each other, and one is related to the other as a partial or complete modification, detail, supplementary explanation, etc. Furthermore, in the following, when the number of elements, etc. (including the number, numerical value, amount, range, etc.) is mentioned, it is not limited to the specific number, and may be more or less than the specific number, unless otherwise specified or clearly limited in principle to a specific number, etc.

[0009] The system or device in this specification may be a physical computer system (one or more physical computers) or a system built on a group of computing resources (multiple computing resources) such as a cloud infrastructure. The computer system or the group of computing resources may include one or more interface devices (including, for example, a communication device and an input / output device), one or more storage devices (including, for example, a memory (main memory) and an auxiliary storage device), and one or more arithmetic devices.

[0010] When a function is realized by executing a program by a computing device, the defined process is performed using a storage device and / or an interface device, etc., as appropriate, and therefore the function may be at least a part of one or more computing devices. A process described using a function as the subject may be a process performed by a system including one or more computing devices.

[0011] The program may be installed from a program source. The program source may be, for example, a program distribution computer or a computer-readable storage medium (for example, a computer-readable non-transitory storage medium). The description of each function is an example, and multiple functions may be combined into one function, or one function may be divided into multiple functions.

[0012] FIG. 1 is a diagram for explaining an overview of an electric power supply system according to an embodiment of the present specification. An electric power retailer 12 procures electric power from one or more power generation sites 10 through bilateral transactions or market transactions, and supplies the power to a consumer site 13. In bilateral procurement, the procurement unit price (relative unit price) (¥ / kWh) is determined based on a prior contract. In market procurement, the procurement unit price (market unit price) changes from moment to moment. For example, in the day-ahead market, the market unit price is determined in a single-price auction in 48-frame, 30-minute increments.

[0013] Electricity is supplied from the retail electricity supplier 12 to the consumer site 13 at a time-based unit price such as daytime / evening / nighttime. The consumer site includes an on-site BESS (Battery Energy Storage System) to reduce electricity charges. The on-site BESS is a BESS located inside the site's power receiving point, and is used for peak shifting that takes into account the time-based unit price of electricity. Peak shifting depends on the demand curve, and in short, the on-site BESS is charged during times when electricity rates are low, and discharged from the on-site BESS during times when electricity rates are high. The reduction in electricity charges is the source of investment recovery for the on-site BESS. The owner of the on-site BESS may be a consumer, a retail electricity supplier, or a third party providing EaaS (Energy as a Service).

[0014] The energy storage site 11 includes an off-site BESS, and supplies electricity procured from the power generation site 10 to the consumer site 13 via the electricity retailer 12. The off-site BESS for the consumer site is a BESS outside the power receiving point. For example, the energy storage site 11 stores electricity when there is surplus electricity generated by the power generation site 10 through bilateral procurement. Alternatively, the energy storage site 11 may store electricity procured on the market when the market price is low. The difference between the procurement price from the power generation site 10 and the supply price to the consumer site 13 becomes the investment recovery resource for the off-site BESS.

[0015] For consumers, on-site BESS has higher utility value than off-site BESS, meaning it has higher added value per kWh of capacity. This is because, in addition to peak shifting, it is useful for peak cutting and resilience in response to contracted power and power receiving equipment restrictions. On the other hand, having too many on-site BESSs results in overinvestment, reducing the investment effect of on-site BESS. Also, even if the on-site BESS is taken off the balance sheet through leasing, etc., the costs and labor of construction, etc. are unavoidable.

[0016] From the perspective of a retail electricity supplier 12 that procures electricity at the market price and supplies it at a time-of-use price, if there are few on-site BESSs at consumer sites 13, it is not possible to ensure a sufficient peak shift effect when the market price rises. As a result, it becomes necessary to set the time-of-use price higher.

[0017] In one embodiment of the present specification, by combining an actually installed on-site BESS with a virtual BESS, it is possible to avoid excessive investment in the on-site BESS while ensuring a peak shift effect. The actual power supplied from the virtual BESS to the consumer site is supplied from outside the power receiving point of the consumer site. The power supply source of the virtual BESS may include an off-site BESS and / or a power generation site. The virtual BESS provides a peak shift function similar to that of an on-site BESS, but is operated as a virtual part of the on-site BESS. As with charging and discharging the on-site BESS, charging the virtual BESS is charged at a time-of-day rate, and no charge is made when discharging.

[0018] In one embodiment of the present specification, an on-site BESS and a virtual BESS are combined and operated for a predetermined period (e.g., one year) to evaluate the investment effect of the on-site BESS. If the investment effect of the on-site BESS satisfies a predetermined condition, the embodiment of the present specification proposes to install an additional on-site BESS. In addition, a contract may be made between the retail electricity supplier and the consumer to install an additional on-site BESS if the investment effect of the BESS satisfies a predetermined condition. The calculation index of the investment effect may be, for example, the amount of electricity bill reduction (¥ / kWh) due to peak shift per battery capacity.

[0019] One embodiment of this specification enables consumers to gradually increase the number of on-site BESSs, which are of high added value, while checking the investment effect. From the perspective of the retail electricity supplier, consumers can avoid having to own additional off-site BESSs (assets) by increasing the number of on-site BESSs. Unnecessary off-site BESS capacity can be reused to provide hybrid EaaS to new consumers.

[0020] 2 is a block diagram showing a schematic configuration example of functions included in a power management system according to an embodiment of the present specification. The power management system includes a battery equipment planning system 100, an off-site BESS-EMS (Energy Management System) 151, and an on-site BESS-EMS 152. For example, the battery equipment planning system 100 is a system of a retail electricity supplier, the off-site BESS-EMS 151 is a system of an electricity storage site 11, and each of the multiple on-site BESS-EMS 152 is a system of a consumer site 13.

[0021] The battery equipment planning system 100 holds several types of information. Specifically, the battery equipment planning system 100 holds various types of information, such as a demand curve 101, a time zone unit price 102, a market unit price 103, a relative unit price 104, and a relative procurement curve 105. The battery equipment planning system 100 also holds an on-site introduction coefficient 115. Furthermore, the battery equipment planning system 100 holds an operation record 111 including a demand record and a charge / discharge record, acquired from each on-site BESS-EMS 152.

[0022] The demand curve 101, the time slot unit price 102, the market unit price 103, the relative unit price 104, and the relative procurement curve 105 are each assumed data. The assumed data may be past statistical values ​​or forecast values ​​based on known methods. The demand curve 101 shows the change over time in the electricity demand at each consumer site. The time slot unit price 102 shows the change over time in the electricity price for electricity that each consumer site 13 purchases from the retail electricity supplier 12 (electricity price curve). The market unit price 103 shows the change over time in the electricity price in the electricity market where the retail electricity supplier 12 purchases electricity. The relative unit price 104 shows the change over time in the electricity unit price specified in the relative transaction between the retail electricity supplier 12 and the power generation site 10, etc. The relative unit price may be constant. The relative procurement curve 105 shows the change over time in electricity due to relative procurement.

[0023] The battery equipment planning system 100 includes several functional units, including a required BESS capacity / expected investment effect calculation unit 106, an on-site / virtual BESS capacity determination unit 107, a required BESS charge / discharge plan unit 108, an on-site BESS charge / discharge plan / virtual BESS charge / discharge plan allocation unit 109, an off-site BESS charge / discharge plan unit 110, and an investment effect actual value calculation / evaluation unit 112. These functional units can be implemented, for example, by a processor executing a program or by an integrated circuit configured for a specific function.

[0024] 3 shows an example of the configuration of hardware included in the power management system. The power management system includes a planning server 200, a customer terminal 170, an off-site BESS-EMS 251, and an on-site BESS-EMS 252, which are capable of communicating with each other via a network. The type of communication network is arbitrary.

[0025] The planning server 200 includes the functions of the battery equipment planning system 100. The functions of the battery equipment planning system 100 may be implemented in a plurality of servers. The planning server 200 includes an input / output device 210, a communication device 220, a computing device 230, and a storage device 240. The input / output device 210 is an input device and / or an output device. The input device is, for example, a keyboard, a mouse, a microphone, etc., and the output device is, for example, a display device, a printer, a speaker, etc. The communication device 220 is an interface that communicates with other devices via a network. The input / output device 210 may be omitted, and information to and from the user may be input / output to a terminal connected via the communication device 220.

[0026] The arithmetic device 230 may have any configuration and may include one or more processors (including cores) such as a CPU or a microprocessor. The storage device 240 may include a memory that is a main storage device and an auxiliary storage device, and the auxiliary storage device may be omitted. The memory may be, for example, a device such as a DRAM that includes a volatile storage medium. The auxiliary storage device may be, for example, a device such as a HDD (Hard Disk Drive) or SSD (Solid State Drive) that includes a non-volatile storage medium.

[0027] In the configuration example shown in Fig. 3, the storage device 240 stores various types of information. Specifically, it stores a demand curve 101, a time period unit price 102, a market unit price 103, a relative unit price 104, a relative procurement curve 105, and an operation performance 111. In addition, although not shown in Fig. 3, it stores various programs executed by the calculation device 230.

[0028] In the configuration example shown in Figure 3, the calculation device 230 operates as a required BESS capacity / expected investment effect calculation unit 106, an on-site / virtual BESS capacity determination unit 107, a required BESS charge / discharge planning unit 108, an on-site BESS charge / discharge plan / virtual BESS charge / discharge plan allocation unit 109, an off-site BESS charge / discharge planning unit 110, and an investment effect actual value calculation / evaluation unit 112.

[0029] The arithmetic device 230 operates as the above-mentioned functional unit by executing processing according to a program of the same name stored in the storage device 240. In the following explanation, the processing may be explained with the program as the subject, but since the program is executed by the arithmetic device 230 and performs the specified processing while appropriately using storage resources (e.g., memory) and / or interface devices (communication ports), etc., the subject of the processing may be explained as the arithmetic device 230 or the planning server 200 including it.

[0030] The consumer terminal 170 receives information from the consumer and presents the information to the consumer. The consumer terminal 170 may have, for example, a configuration of a general personal computer, and may include a communication device 172 and an input / output device 173 in addition to a calculation device and a storage device. The communication device 172 enables communication with other devices via a network, and the input / output device 173 enables a user to input information and present information to the user. The input device is, for example, a keyboard, a mouse, a microphone, etc., and the output device is, for example, a display device, a printer, a speaker, etc.

[0031] Each of the off-site BESS-EMS 251 and the on-site BESS-EMS 252 may be configured with one or more computers. The computers may include a calculation device, a storage device, and a communication device, and may further include an input / output device.

[0032] An overview of the process of determining and updating the BESS capacity of a consumer will be described below. The battery equipment planning system 100 (or the planning server 200) shown in Fig. 2 determines the consumer's required BESS capacity (total capacity of the consumer's BESS) and a charge / discharge plan for each of the on-site BESS and off-site BESS that make up the required BESS capacity. Furthermore, the battery equipment planning system 100 calculates the actual value of the investment effect of the BESS from the operation performance of each of the on-site BESS and the off-site BESS. The battery equipment planning system 100 determines whether or not to add an on-site BESS based on an evaluation of the actual value of the investment effect of the BESS.

[0033] A more specific description will be given below with reference to Fig. 2 and Fig. 4. Fig. 4 is a flowchart showing an example of processing by the battery equipment planning system 100. First, the required BESS capacity / expected investment effect calculation unit 106 executes steps S11 and S12 for each consumer.

[0034] Specifically, the required BESS capacity / expected investment effect calculation unit 106 calculates the required BESS capacity (kWh) that maximizes the expected investment effect (¥ / kWh) of peak shifting based on the demand curve 101 and the time period unit price 102 (electricity rate curve) at the consumer site (S11). This allows the required BESS capacity to be more appropriately estimated. The required BESS capacity may be specified by the user.

[0035] The demand curve 101 and the time period unit price 102 are each assumed data. The assumed data may be past statistical values ​​or predicted values ​​using a known method. The required BESS capacity is calculated based on a charge / discharge plan simulation. For example, the BESS equipment unit price can be incorporated into the objective function to solve the BESS capacity and the charge / discharge plan at the same time.

[0036] Next, the on-site / virtual BESS capacity determination unit 107 determines an on-site introduction coefficient (≦1.0) for the calculated required BESS capacity (S12). The on-site introduction coefficient indicates the ratio of the on-site BESS capacity to the required BESS capacity. The on-site introduction coefficient is the ratio of the introduced on-site BESS capacity to the required BESS capacity. If the on-site introduction coefficient is larger than the value of the current on-site BESS capacity, an on-site BESS is additionally introduced.

[0037] The battery equipment planning system 100 executes steps S13 to S19 at an on-site BESS expansion cycle. The on-site BESS expansion cycle may be, for example, one year. First, the battery equipment planning system 100 executes step S13 for each consumer. In step S13, the on-site / virtual BESS capacity determination unit 107 determines the on-site BESS capacity and the off-site BESS capacity in the consumer's required BESS capacity.

[0038] The BESS capacity / expected investment effect calculation unit 106 determines the on-site BESS capacity by multiplying the required BESS capacity by the on-site introduction coefficient, and allocates the remainder as the virtual BESS capacity. Here, the virtual BESS is a virtual BESS for the consumer. The virtual BESS is operated in the same manner as an introduced on-site BESS, and is operated as a virtual part of the on-site BESS. This makes it possible to more appropriately determine whether or not to introduce an on-site BESS. The source of power supplied from the virtual BESS to the consumer exists outside the receiving point, and the type is not limited. For example, it may be supplied from the power generation site 10 or the power storage site 11.

[0039] Next, the battery facility planning system 100 executes steps S14 to S16 in a BESS operation cycle. The BESS operation cycle may be, for example, one day. The battery facility planning system 100 also executes steps S14 and S15 for each consumer.

[0040] In step S14, the necessary BESS charge / discharge planning unit 108 generates a charge / discharge plan for the necessary BESS. The necessary BESS charge / discharge planning unit 108 creates a charge / discharge plan that maximizes the amount of reduction in electricity charges for the necessary BESS capacity based on the time zone unit price and a short-term demand forecast (for example, for one day) by solving the mathematical programming method.

[0041] Next, in step S15, the on-site BESS charge / discharge plan / virtual BESS charge / discharge plan allocation unit 109 allocates the on-site BESS charge / discharge plan and the virtual BESS charge / discharge plan from the required BESS charge / discharge plan based on the capacity ratio between the on-site BESS and the virtual BESS. The capacity ratio between the on-site BESS and the virtual BESS is calculated from the on-site introduction coefficient. This allows the on-site BESS charge / discharge plan and the virtual BESS charge / discharge plan to be determined efficiently and appropriately. Note that these may be determined based on a criterion different from the on-site introduction coefficient.

[0042] Next, in step S16, the off-site BESS charge / discharge planning unit 110 generates a charge / discharge plan for the off-site BESS. In the operation of the off-site BESS, it is sufficient if the calculated virtual BESS charge / discharge plan can be virtually realized. Therefore, the off-site BESS charge / discharge planning unit 110 solves an actual charge / discharge plan that maximizes the profit of the electricity retailer by mathematical programming based on the estimated data of the market unit price, or the estimated data of the power generation curve and the relative unit price of relative procurement, or both of these estimated data.

[0043] The on-site BESS-EMS 152 at each consumer site operates the on-site BESS in accordance with an on-site BESS charge / discharge plan that is periodically generated during an on-site BESS addition cycle (a predetermined period), and accumulates operation data in the operation record 111. The operation data includes a demand record and a charge / discharge record. The off-site BESS-EMS 151 operates the on-site BESS in accordance with the off-site BESS charge / discharge plan that is periodically generated.

[0044] When the on-site BESS addition cycle ends, the battery equipment planning system 100 executes steps S17 to S19 for each consumer. In step S17, the investment effect result value calculation / evaluation unit 112 calculates the result value of the investment effect (¥ / kWh) of the peak shift from the demand result and the charge / discharge result of the operation result 111.

[0045] In step S18, the investment effect result value calculation / evaluation unit 112 judges whether the calculated result value is within a predetermined error range of the expected value. In this example, if the value obtained by dividing the actual value by the expected value is equal to or greater than the predetermined value (S18: equal to or greater than the predetermined value), the investment effect result value calculation / evaluation unit 112 determines that the investment effect has been confirmed and decides to add an on-site BESS. The investment effect result value calculation / evaluation unit 112 adds the predetermined value to the on-site introduction coefficient 115 to reduce the allocation amount of the virtual BESS. If the value obtained by dividing the actual value by the expected value is less than the predetermined value (S18: less than the predetermined value), the on-site introduction coefficient 115 is maintained.

[0046] Steps S13 to S19 are repeated at a predetermined on-site BESS expansion cycle. In the process, for example, by gradually increasing the on-site introduction coefficient to 0.5, 0.6, and 0.7, consumers can expand the on-site BESS while checking the investment effect. As the on-site BESS is expanded, retailers can allocate the capacity of the off-site BESS that is no longer needed to other consumers.

[0047] 5, 6 and 7 show example images that may be displayed on the electricity retailer's planning server 200 or the customer terminal 170. The electricity retailer and the customer can easily obtain information about the BESS from the images described below.

[0048] FIG. 5 is a graph that shows a schematic example of a change in power demand at a customer site. Specifically, FIG. 5 shows the relationship between the original demand curve at the customer site and the required charging and discharging of the BESS. The horizontal axis shows time, and the vertical axis shows power (kW). The graph shown in FIG. 5 can be displayed, for example, on the planning server 200 and the customer terminal 170.

[0049] Line 511 indicates the original demand curve at the consumer site, for example, for one day. Area 512 indicates the amount of charge to the required BESS. Area 513 indicates the amount of discharge from the required BESS. The power supplied from the received power is the original demand curve 511 plus the required BESS charging power, or the original demand curve 511 minus the required BESS discharging power. For example, the required BESS charges during times when the electricity rate is relatively low, and discharges during times when the electricity rate is relatively high.

[0050] FIG. 6 is a graph that shows a schematic example of the allocation of the on-site BESS and the virtual BESS. Specifically, FIG. 6 shows the relationship between the charging and discharging of the required BESS, the charging and discharging of the on-site BESS, and the charging and discharging of the virtual BESS. The horizontal axis of the graph shows time, and the vertical axis shows the charging or discharging power (kW). In the example of FIG. 6, the on-site introduction coefficient is 0.5. That is, the capacity ratio of the on-site BESS and the virtual BESS is 0.5:0.5. The graph shown in FIG. 6 can be displayed, for example, on the planning server 200 and the customer terminal 170.

[0051] The continuous lines 520 and 530 show charging and discharging of the required BESS. Specifically, line 520 shows charging of the required BESS and line 530 shows discharging of the required BESS. The continuous lines 521 and 531 show charging and discharging of the on-site BESS.

[0052] Specifically, line 521 indicates charging of the on-site BESS, and line 531 indicates discharging of the on-site BESS. The area between line 521 and the horizontal axis indicates the amount of charging to the on-site BESS, and the area between line 531 and the horizontal axis indicates the amount of discharging from the on-site BESS. Area 522 between line 521 and line 520 indicates the amount of charging to the virtual BESS, and area 532 between line 531 and line 530 indicates the amount of discharging from the virtual BESS. Note that, if the ratio of the charging and discharging amounts of the on-site BESS and the virtual BESS is 0.5:0.5, the charging or discharging curves of each BESS are not limited to those shown in FIG. 6.

[0053] Fig. 7 is a graph that shows a schematic diagram of charging and discharging of a virtual BESS. Specifically, Fig. 7 shows the relationship between charging and discharging of the virtual BESS and charging and discharging of the capacity corresponding to the virtual BESS in the off-site BESS. The horizontal axis shows time, and the vertical axis shows the power (kW) of charging or discharging. The graph of Fig. 7 can be displayed, for example, in the planning server 200.

[0054] Continuous solid lines 540 and 550 indicate charging and discharging of the virtual BESS. Specifically, the solid line 540 indicates charging of the virtual BESS, and the solid line 550 indicates discharging of the virtual BESS. The charge for charging the virtual BESS is charged to the consumer at a time-of-day rate. On the other hand, no charge is made for discharging the virtual BESS.

[0055] A dashed line 541 indicates charging of an off-site BESS having a capacity corresponding to the virtual BESS, and a dashed line 552 indicates discharging of an off-site BESS having a capacity corresponding to the virtual BESS. Charging and discharging of an off-site BESS is determined by a formula described later, taking into account the market price and the relative procurement curve. Charging and discharging of an off-site BESS having a capacity corresponding to the virtual BESS at each consumer site is obtained by apportioning the charge and discharge curve of the off-site BESS by the virtual BESS capacity for each consumer site.

[0056] An area 553 between the off-site BESS discharge 552 and the virtual BESS discharge 550 during a period when the off-site BESS discharge 552 is greater than the virtual BESS discharge 550 indicates the amount of power supplied to other customer sites. Also, an area 554 between the virtual BESS discharge 550 and the off-site BESS discharge 552 during a period when the virtual BESS discharge 550 is greater than the off-site BESS discharge 552 indicates the amount of power procured through market procurement or bilateral procurement and supplied to the customer site.

[0057] In this way, the charging and discharging of the off-site BESS does not need to be the same as the charging and discharging of the virtual BESS, and is determined so as to maximize the profits of the retail electricity supplier, along with market procurement and bilateral procurement. Note that the source of electricity procurement for the retail electricity supplier may be only one of the market and specific customers.

[0058] Next, an example of information that can be used by the electricity retailer to explain the investment in the BESS to the consumer will be described. At least a part of this information can be displayed to each user on the planning server 200 and / or the consumer terminal 170, for example.

[0059] 8 shows an example of the configuration of an investment effect management table that is prepared for each customer site and that manages information showing the investment effect of an on-site BESS. The information in the investment effect management table may be presented to customers, for example, at a predetermined on-site BESS expansion cycle (e.g., one year cycle).

[0060] The investment effect management table manages the values ​​of multiple items for each on-site BESS expansion cycle. Specifically, the management items include required BESS capacity 601, on-site installation coefficient 602, on-site BESS capacity 603, virtual BESS capacity 604, expected investment effect value 605, actual investment effect value 606, and expansion decision (coefficient increase) 607.

[0061] Required BESS capacity 601, on-site installation coefficient 602, on-site BESS capacity 603, and virtual BESS capacity 604 indicate the values ​​already explained. Expected investment effect 605 indicates the expected effect of the on-site BESS, and actual investment effect value 606 indicates the actual value. The actual value is obtained by combining the actual on-site BESS and the virtual BESS. The investment effect is expressed as the amount of electricity bill reduction due to peak shifting per battery capacity (¥ / kWh·year).

[0062] In the example shown in FIG. 8, in the first year, the actual value of the investment effect is 95% or more of the expected value (predetermined threshold value). Therefore, an on-site BESS is installed, and the on-site introduction coefficient in the second year is increased by 0.1, changing from 0.5 to 0.6. In the second year, the actual value of the investment effect is less than 95% of the expected value. Therefore, the installation of an on-site BESS is postponed, and the increment of the on-site introduction coefficient is 0. In other words, the on-site introduction coefficient in the third year is the same as the on-site introduction coefficient in the second year. In the third year, the actual value of the investment effect is 95% or more of the expected value. Therefore, an on-site BESS is installed, and the on-site introduction coefficient in the fourth year is increased by 0.1, changing from 0.6 to 0.7.

[0063] The determination of the increase in the on-site introduction coefficient may be based on an index other than the difference between the estimated and actual electricity bill reduction effect. For example, only the actual information may be referenced, and the comparison target may be a preset constant. Also, as an index of a different type from the electricity bill reduction effect, for example, the amount of CO2 reduction resulting from the increase in renewable energy use through the introduction of storage batteries may be used as an index.

[0064] An example of the detailed method of the process described with reference to Fig. 4 will be described below. First, an example of a method for calculating the required BESS capacity at each customer site will be described. The required BESS capacity / expected investment effect calculation unit 106 calculates this value (S11). In the example method described below, the required BESS capacity and the charge / discharge plan are optimized together.

[0065] First, the objective function is the sum of CAPEX (Capital Expenditure: investment cost) and OPEX (Operating Expenditure: operating cost), and is expressed as follows. c is the customer site number, and the number of customer sites is a value equal to or greater than 1. Σ_t means the sum over t. Cp_bess × s_bess(c) +Σ_t(Op_retail(c, t)×w_retail(c, t))

[0066] Furthermore, the constraints are as follows: Supply and demand balance of consumers W_demand(c, t)+w_charge(c, t) =w_retail(c, t)+w_discharge(c, t) Change in required BESS storage capacity w_bess(c,t+1) =w_bess(c, t)+w_charge(c, t) -w_discharge(c,t) Required BESS storage capacity constraints 0≦w_bess(c,t)≦s_bess(c)

[0067] In the above formula, the constants are as follows: Cp_bess: BESS equipment unit cost or unit cost divided by depreciation period (for example, 5 years) (￥ / kWh·year) Op_retail(c,t): Time series data of time-of-day charges (¥ / kWh) W_demand(c, t): Time series data of the demand curve (kWh)

[0068] In the above formula, the variables are as follows: s_bess(c): Required BESS capacity of consumer c (kWh) w_retail(c, t): The amount of electricity purchased by consumer c in time frame t (kWh) w_charge(c,t): Required BESS charge in time frame t (kWh) w_discharge(c,t): Required BESS discharge amount (kWh) in time frame t w_bess(t): Required BESS storage capacity in time frame t (kWh) The amount of electricity purchased by consumer c in time frame t, w_retail(c, t), differs from the amount of electricity received at the physical receiving point of the consumer site in that it also takes into account the charging and discharging of the virtual BESS.

[0069] By minimizing the above objective function, the required BESS capacity for consumer c (consumer site c) that minimizes the total value of CAPEX and OPEX during the simulation period is determined. In addition, the required BESS charging and discharging plan is also determined. In addition, contract power constraints, exclusive charging and discharging constraints, charging and discharging efficiency, etc. are also taken into consideration, but they are omitted here.

[0070] Next, the calculation of the expected value of the investment effect for each customer will be described in detail. The required BESS capacity / expected investment effect calculation unit 106 calculates this value (S11). Σ_t(Op_retail(c, t)×W_demand(c, t)) (1) Σ_t(Op_retail(c, t)×w_retail(c, t)) (2)

[0071] The above formula (1) represents the electricity price (power receiving curve = demand curve) when there is no BESS, and the above formula (2) represents the electricity price when there is a BESS. The electricity price when there is a BESS is calculated from the power receiving curve including the charging and discharging plan calculated secondarily from the above objective function.

[0072] The difference (equation (2) - equation (1)) represents the amount of reduction in electricity bills due to the introduction of a BESS. This value divided by the required BESS capacity S_bess(c) represents the investment effect (yen / kWh) per BESS capacity. Note that s_bess(c) calculated as above will hereafter be fixed as the constant S_bess(c). If the investment effect exceeds the unit price of the BESS equipment, it means that introducing a BESS is definitely profitable.

[0073] The above method calculates the expected value of the investment effect of the consumer. In the above formula, by using actual measurement data as time series data of the demand curve, the charge amount, and the discharge amount, the actual value of the investment effect can be calculated by the same calculation formula.

[0074] Next, an example of a method for allocating the required BESS capacity to the on-site BESS capacity and the virtual BESS capacity will be described. The on-site / virtual BESS capacity determination unit 107 determines the on-site BESS capacity and the virtual BESS capacity (S13).

[0075] The on-site BESS capacity is expressed by the following formula: S_onsite_bess(c)=K×S_bess(c) The virtual BESS capacity is expressed by the following formula. S_virtual_bess(c)=(1-K)×S_bess(c) where K is the on-site introduction factor.

[0076] Next, an example of creating a required BESS charge / discharge plan for each consumer and allocating the required BESS charge / discharge plan will be described. The required BESS charge / discharge plan unit 108 generates a charge / discharge plan for the required BESS (S14). Furthermore, the on-site BESS charge / discharge plan / virtual BESS charge / discharge plan allocation unit 109 generates an on-site BESS charge / discharge plan / virtual BESS charge / discharge plan from the required BESS charge / discharge plan (S15).

[0077] First, the generation of the required BESS charge / discharge plan (S14) will be described. Note that the charge / discharge plan of the required BESS may be generated by a method different from the method described below. In the following, the objective function related to OPEX is minimized, but for example, the objective function related to the amount of renewable energy power charged to the required BESS may be maximized. The objective function for creating the required BESS charge / discharge plan is as follows. By minimizing the objective function, a charge / discharge plan of the required BESS that minimizes OPEX is determined. This makes it possible to generate a more appropriate charge / discharge plan. Σ_t(Op_retail(c, t)×w_retail(c, t))

[0078] Furthermore, the constraints are as follows: Supply and demand balance of consumers W_demand(c, t)+w_charge(c, t) =w_retail(c, t)+w_discharge(c, t) Change in required BESS storage capacity w_bess(c,t+1) =w_bess(c, t)+w_charge(c, t) -w_discharge(c,t) Required BESS storage capacity constraints 0≦w_bess(c,t)≦S_bess(c)

[0079] Next, the generation of on-site BESS charge / discharge and virtual BESS charge / discharge (S15) will be described. The on-site BESS charge / discharge plan / virtual BESS charge / discharge plan allocation unit 109 allocates the charge / discharge plan of the necessary BESS to the on-site BESS charge / discharge and the virtual BESS charge / discharge.

[0080] On-site BESS charging is calculated as follows: w_onsite_charge(c,t) = K × w_charge(c, t)

[0081] The off-site BESS discharge is calculated as follows: w_onsite_discharge(c,t) = K × w_discharge(c, t)

[0082] The virtual BESS charge is calculated as follows: w_virtual_charge(c, t) = (1-K) × w_charge(c, t)

[0083] The virtual BESS discharge is calculated as follows: w_virtual_discharge(c, t) = (1-K) × w_discharge(c, t)

[0084] Next, an example of a method for generating a charge / discharge plan for an off-site BESS will be described. The charge / discharge plan for an off-site BESS may be generated by a method different from the method described below. For example, if the objective function of the required BESS charge / discharge plan is related to the amount of charge of renewable energy power, the objective function of the off-site BESS charge / discharge plan may also be related to the amount of charge of renewable energy power. In addition, if there is no off-site BESS, the following process is omitted.

[0085] The off-site BESS charge / discharge plan unit 110 generates a charge / discharge plan for the off-site BESS (S16). A more appropriate charge / discharge plan can be generated by the following method. The objective function for creating the charge / discharge plan for the off-site BESS is as follows. Σ_t(Op_spot(t)×w_spot(t) +Op_otc(t) × W_otc(t) -Σ_tΣ_c(Op_retail(c, t)×W_retail(c, t))

[0086] The objective function shows the balance of electricity retailers' electricity trading. The first term represents the cost paid by the retailers to procure electricity, and the second term represents the revenue the retailers receive from supplying electricity. Σ_c represents the sum for consumer c.

[0087] Furthermore, the constraints are as follows: Supply and demand balance of retail electricity suppliers Σ_c(W_demand(c, t)+w_onsite_charge(c, t) -w_onsite_discharge(c,t)) +w_offsite_charge(t) = w_spot(t) + W_otc(t) +w_offsite_discharge(t)

[0088] The left side of this condition indicates the sum of the actual amount of electricity received by all consumers and the sum of the amount of electricity charged by the off-site BESS. Note that the objective function W_retail(c, t) is the amount of electricity purchased that takes into account the charging and discharging of the virtual BESS, and the constraint condition uses the actual amount of electricity received that takes into account only the charging and discharging of the on-site BESS. The right side indicates the sum of the amount of electricity procured from the market, the relative amount of electricity procured, and the amount of electricity discharged by the off-site BESS. In addition, the following constraint conditions exist.

[0089] Change in off-site BESS storage capacity w_offsite_bess(t+1) =w_offsite_bess(t)+w_offsite_charge(t) -w_offsite_discharge(t) Off-site BESS storage capacity constraints 0≦w_offsite_bess(t)≦S_offsite_bess

[0090] In the above formula, the constants are as follows: Op_spot(t): Time series data of market price (¥ / kWh) Op_otc(t): Time series data of relative unit price (¥ / kWh) W_otc(t): Time series data of relative procurement curve (kWh) W_retail(c, t): Time series data of electricity purchases by consumers (kWh) S_offsite_bess: Capacity of offsite BESS (kWh)

[0091] The time series data of the relative unit price Op_spot(t) is generally a fixed price, but is described as time series data rather than a scalar so that pricing by time period can also be handled. The time series data of the relative procurement curve W_otc(t) corresponds to the power generation curve of the power generation site for relative procurement. The capacity of the off-site BESS S_offsite_bess is, for example, the sum of the virtual BESS capacities Σ_cS_virtual_bess(c).

[0092] In the above formula, the variables are as follows: w_spot(t): The amount of electricity procured from the market in time frame t (kWh) w_offsite_charge(t): Offsite BESS charge in time frame t (kWh) w_offsite_discharge(t): Offsite BESS discharge in time frame t (kWh) w_offsite_bess(t): Offsite BESS storage capacity (kWh) in time frame t

[0093] This method maximizes the profits of the retail electricity supplier for the amount of electricity purchased that takes into account the charging and discharging of each consumer's on-site BESS / virtual BESS by minimizing the objective function. In addition, a supply and demand balance is established by taking into account the charging and discharging of each consumer's on-site BESS and the charging and discharging of the actual off-site BESS using constraint conditions. In other words, this method describes the virtual distribution of value as a service using the objective function, and describes the actual supply and demand of electricity using constraint conditions. In general terms, the off-site BESS also takes into account exclusivity constraints on charging and discharging and charging and discharging efficiency, but this will not be explained here.

[0094] The capacity of the off-site BESS may be smaller than the allocation of the virtual BESS to all consumers. The power from the virtual BESS of each consumer may be supplied from a supplier different from the off-site BESS. The power stored in the off-site BESS may be operated in an adjustment power market or the like during idle hours. The provision of the virtual BESS and the operation of the off-site BESS may be performed by the self-consignment instead of the retail electricity supplier. When updating the on-site introduction coefficient, the required BESS capacity may be recalculated.

[0095] The present invention is not limited to the above-mentioned embodiment, but includes various modified examples. For example, the above-mentioned embodiment has been described in detail to clearly explain the present invention, and is not necessarily limited to those including all of the configurations described. It is also possible to replace a part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. It is also possible to add, delete, or replace a part of the configuration of each embodiment with another configuration.

[0096] In addition, the above-mentioned configurations, functions, processing units, etc. may be realized in part or in whole by hardware, for example, by designing them as integrated circuits. In addition, the above-mentioned configurations, functions, etc. may be realized in software by a processor interpreting and executing a program that realizes each function. Information such as the program, table, file, etc. that realizes each function can be stored in a memory, a recording device such as a hard disk or SSD (Solid State Drive), or a recording medium such as an IC card or SD card.

[0097] In addition, the control lines and information lines shown are those that are considered necessary for the explanation, and not all control lines and information lines in the product are necessarily shown. In reality, it can be considered that almost all components are connected to each other. [Explanation of symbols]

[0098] 100 Battery equipment planning system 101 Demand Curve 102 Time slot price 103 Market Price 104 Relative Unit Price 105 Relative Procurement Curve 106 Required BESS capacity and expected investment effect calculation section 107 On-site / Virtual BESS Capacity Determination Unit 108 Required BESS charge / discharge planning section 109 On-site BESS charge / discharge plan / Virtual BESS charge / discharge plan allocation section 110 Off-site BESS Charging and Discharging Planning Department 112 Investment Effect Performance Value Calculation and Evaluation Department 115 On-site installation factor 200 Planning Server 230 Arithmetic equipment 240 Storage device

Claims

1. A battery equipment planning system that supports equipment planning for an on-site battery at a consumer site, comprising: A computing device; A storage device that stores a program executed by the arithmetic unit, The computing device determines that a capacity obtained by multiplying a required capacity of an on-site battery at a consumer site by an on-site introduction coefficient is an introduction amount of the on-site battery, and a remaining required capacity of the on-site battery is a capacity of a virtual battery, The virtual battery is virtually operated to supply power to the consumer site, The actual power supplied from the virtual battery to the customer site is supplied from outside the power receiving point of the customer site, The computing device includes: Acquire performance information obtained by operating the on-site battery and the virtual battery of the introduced amount; A battery equipment planning system that determines to increase the on-site introduction coefficient when the performance information satisfies a predetermined condition, and presents information regarding the determination to a user.

2. The battery equipment planning system according to claim 1, The storage device includes: storing electricity rate information indicating a change in electricity rate over time at the consumer site and electricity demand information indicating a change in electricity demand over time at the consumer site; The computing device includes: determining a required capacity of the on-site battery and an expected value of an electricity charge reduction effect due to the required capacity of the on-site battery based on the electricity charge information and the power demand information; A battery equipment planning system that determines to increase the on-site introduction coefficient when an actual value of an electricity charge reduction effect in the performance information satisfies a preset condition with respect to an expected value of the electricity charge reduction effect.

3. The battery equipment planning system according to claim 2, The virtual battery is virtually charged and discharged under the same billing conditions as the on-site battery of the introduced amount.

4. The battery equipment planning system according to claim 1, At least a portion of the power supplied from the virtual battery to the customer site is supplied from an off-site battery of a retail electricity supplier that is located outside a power receiving point of the customer site; Power is supplied from the off-site battery to a plurality of consumer sites; The computing device is a battery equipment planning system that generates a charge / discharge plan for the off-site battery based on the electricity procurement cost and electricity supply revenue of the retail electricity supplier.

5. The battery equipment planning system according to claim 1, At least a portion of the power supplied from the virtual battery to the customer site is supplied from an off-site battery of a retail electricity supplier that is located outside a power receiving point of the customer site; power is supplied from the off-site battery to a plurality of consumer sites; The calculation device is a battery equipment planning system that generates a charging and discharging plan for the off-site battery based on an objective function indicating a balance based on electricity procurement costs and electricity supply revenues, and a constraint condition on the supply and demand balance of electricity of the retail electricity supplier.

6. The battery equipment planning system according to claim 1, The computing device includes: generating a charge / discharge plan for a required amount of the on-site battery based on an objective function indicating an electricity rate at the customer site, and constraints on an electricity supply / demand balance at the customer site and a required capacity of the on-site battery; The battery equipment planning system allocates the charge / discharge plan to the on-site battery of the introduction amount and the virtual battery according to the on-site introduction coefficient.

7. The battery equipment planning system according to claim 1, A battery equipment planning system, wherein the virtual battery is charged and discharged as a virtual part of an on-site battery at the consumer site.

8. A method for supporting installation planning of an on-site battery at a consumer site, the method comprising: The system determines that the capacity obtained by multiplying the required capacity of the on-site battery at the consumer site by an on-site introduction coefficient is the introduction amount of the on-site battery, and the remaining required capacity of the on-site battery is the capacity of a virtual battery, The virtual battery is virtually operated to supply power to the consumer site, The actual power supplied from the virtual battery to the customer site is supplied from outside the power receiving point of the customer site, The system acquires performance information obtained by operating the on-site battery and the virtual battery of the introduced amount, The method, wherein the system determines to increase the on-site introduction coefficient when the performance information satisfies a predetermined condition, and presents information regarding the determination to a user.

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