Electric storage information processing method, electric storage information processing device, and computer program

Abstract

To provide a technique capable of deriving power transaction contents in consideration of suppression of deterioration of a power storage element.SOLUTION: An energy storage information processing method causes a computer to execute a process of predicting a charge state of an energy storage device in a target period when an electric power transaction using the energy storage device is not performed, determining whether or not the electric power transaction in the target period is possible based on the predicted charge state and a charge state range in which the electric power transaction is possible, and deriving an electric power transaction content for the target period based on the charge state when it is determined that the electric power transaction is possible.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a power storage information processing method, a power storage information processing device, and a computer program. [Background technology]

[0002] In recent years, the introduction of electricity trading markets has been promoted to ensure the adjustment capacity to suppress fluctuations in the amount of power generated by renewable energy sources such as solar and wind power. The use of energy storage devices for electricity trading in electricity trading markets has been considered.

[0003] Patent Document 1 discloses a technique for maximizing profits from electricity trading in a comprehensive manner, including the supply and demand of electricity in a user power generation system and self-consumption. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] International Publication No. 2023 / 162771 Summary of the Invention [Problem to be solved by the invention]

[0005] The technology described in Patent Document 1 does not derive the details of the electricity trading that take into consideration the suppression of deterioration of the power storage elements.

[0006] An object of one aspect of the present disclosure is to provide a technology capable of deriving the details of an electricity transaction that takes into consideration the suppression of deterioration of an energy storage element. [Means for solving the problem]

[0007] A method for processing energy storage information according to one aspect of the present disclosure includes a computer that predicts the state of charge of an energy storage element for a target period when energy trading using the energy storage element is not conducted, determines whether energy trading is possible for the target period based on the predicted state of charge and a range of states of charge within which energy trading is possible, and, if it is determined that energy trading is possible, derives the content of the energy trading for the target period based on the state of charge.

[0008] An energy storage information processing device according to one aspect of the present disclosure includes a processing unit that predicts the state of charge of an energy storage element for a target period when energy trading using the energy storage element is not conducted, determines whether energy trading is possible for the target period based on the predicted state of charge and a range of state of charge within which energy trading is possible, and, if it is determined that energy trading is possible, executes a process to derive energy trading details for the target period based on the state of charge.

[0009] A computer program according to one aspect of the present disclosure causes a computer to execute a process of predicting a state of charge of a storage element for a target period when no electricity trading using the storage element is conducted, determining whether electricity trading is possible for the target period based on the predicted state of charge and a range of states of charge within which electricity trading is possible, and deriving electricity trading details for the target period based on the state of charge if it is determined that electricity trading is possible. [Effects of the Invention]

[0010] According to one aspect of the present disclosure, it is possible to derive the details of electricity trading that take into consideration the suppression of deterioration of energy storage elements. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a graph showing the change over time in the capacity retention rate of a storage element for each range of state of charge. [Figure 2] FIG. 1 is a schematic diagram of a power storage information processing system. [Figure 3] FIG. 2 is a diagram illustrating an example of a configuration of a container of the power storage system. [Figure 4] FIG. 2 is a diagram illustrating an example of an electrical connection configuration of a power storage system. [Figure 5] FIG. 2 is a block diagram illustrating an example of the configuration of an information processing device and an EMS. [Figure 6] FIG. 2 is a block diagram showing an example of the configuration of an information terminal device. [Figure 7] FIG. 10 is a diagram illustrating a process flow for deriving the details of an energy trade. [Figure 8] FIG. 10 is a diagram illustrating a transaction SOC range and a method for determining whether or not an electricity transaction is possible. [Figure 9] FIG. 10 is a diagram illustrating an example of a determination result as to whether or not an energy transaction is possible. [Figure 10] FIG. 10 is a diagram showing an example of an output screen for transaction-related information. [Figure 11] 10 is a flowchart illustrating an example of a processing procedure executed by an EMS. [Figure 12] FIG. 10 is a diagram illustrating an example of a transaction SOC range DB. [Figure 13] 10 is a flowchart illustrating an example of a processing procedure executed by an EMS according to a second embodiment. [Figure 14] 10 is a flowchart illustrating another example of the processing procedure executed by the EMS of the second embodiment. [Figure 15] FIG. 10 is a diagram showing an example of an output screen of transaction-related information in the second embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0012] (1) In one aspect of the present disclosure, a storage information processing method predicts the state of charge of a storage element for a target period when no energy trading is conducted using the storage element, determines whether energy trading is possible for the target period based on the predicted state of charge and a range of states of charge within which energy trading is possible, and, if it is determined that energy trading is possible, derives the content of the energy trading for the target period based on the state of charge.

[0013] It is expected that the power generated by a power storage system equipped with a power storage element will be used in power trading. When a power trade is established, the power discharged from the power storage system will be sold, or the power purchased from the commercial power grid will be charged into the power storage system.

[0014] Energy storage systems are often installed primarily for the purposes of absorbing fluctuations in power generated by power generation facilities installed alongside the energy storage system and for self-consumption of stored power, and for these purposes they are required to continue stable operation over the long term. If unlimited energy trading using energy storage systems were allowed, it could accelerate the deterioration of the storage elements and shorten the lifespan of the energy storage system.

[0015] The inventors have studied the relationship between the amount of electricity traded and the deterioration of storage elements, and after careful consideration, have discovered that by adjusting the range of charge states within which electricity trade is permitted, it is possible to realize electricity trading that leads to the suppression of deterioration of storage elements.

[0016] Figure 1 is a graph showing the change over time in the capacity retention rate of a storage element for each state-of-charge range. The vertical axis of the graph represents the capacity retention rate of the storage element (the ratio of the current fully charged capacity to the fully charged capacity when new, in %), and the horizontal axis represents the operating period (the time elapsed since the start of operation). Figure 1 shows the change in the capacity retention rate for the same storage element when no power trading is conducted and when power trading is conducted according to the conditions of three different SOC ranges. SOC is an example of a state of charge.

[0017] The first SOC range condition is to sell electricity when the SOC is 60% or higher and to purchase electricity when the SOC is less than 60%. The second SOC range condition is to sell electricity when the SOC is 60% or higher and to purchase electricity when the SOC is less than 40%. The third SOC range condition is to sell electricity when the SOC is 80% or higher.

[0018] Figure 1 shows that the capacity retention rate during a specified operating period decreases in the order of no power trading, the third SOC range, the fourth SOC range, and the second SOC range, indicating greater degradation of the energy storage element. The calculation results for the integrated value of the SOC fluctuation of the energy storage element during a specified operating period increased in the order of no power trading, the fourth SOC range, the third SOC range, and the second SOC range. A larger integrated value of the SOC fluctuation indicates a larger amount of power trading and a higher frequency of charging and discharging. The calculation results for the average SOC of the energy storage element during a specified operating period (the average value of the SOC of the energy storage element during the operating period) increased in the order of the third SOC range, the second SOC range, the fourth SOC range, and no power trading.

[0019] Focusing on the third and fourth state-of-charge ranges, the third state-of-charge range has a larger integrated value of SOC fluctuation than the fourth state-of-charge range, but the degradation is smaller. While the mechanism behind this is unclear, it is presumed that by discharging or charging the storage element within a somewhat high or low SOC range during energy trading, the average SOC of the storage element can be adjusted to an SOC range where degradation is unlikely to occur. By conducting energy trading under conditions of an appropriate state-of-charge range, degradation of the storage element can be suppressed while energy trading is being conducted.

[0020] According to the energy storage information processing method described in (1) above, whether or not to conduct an energy transaction is determined in consideration of the state of charge of the energy storage element, and if it is determined that the energy transaction is possible, the energy transaction details can be derived, thereby realizing energy transaction that takes into consideration the suppression of degradation of the energy storage element. The state of charge may be SOC (State of Charge). Since whether or not to conduct an energy transaction is determined based on a predicted value of the state of charge of the energy storage element, energy transaction can be suppressed before the energy transaction is conducted when a predicted state of charge that may induce degradation of the energy storage element is detected, and an energy transaction amount that can suppress degradation of the energy storage element can be determined. If energy trading is not conducted during the target period, i.e., if the energy storage element is used for its original purpose other than energy trading, such as absorbing fluctuations in generated power or for self-consumption, the state of charge of the energy storage element can be reflected in the predicted state of charge.

[0021] (2) In the electricity storage information processing method of (1) above, deterioration of the electricity storage elements may be predicted according to the derived electricity trading details.

[0022] According to the electricity storage information processing method (2) above, it is possible to predict the deterioration of the electricity storage elements when electricity trading is carried out with the predicted electricity trading content, and therefore it is possible to present the operating status of the electricity storage system in more detail.

[0023] (3) In the energy storage information processing method of (1) or (2) above, based on the plurality of state-of-charge ranges, the deterioration of the energy storage element according to the content of the energy trading may be predicted for each state-of-charge range, and the state-of-charge range to be applied to the energy trading may be determined from the plurality of state-of-charge ranges based on the predicted deterioration of the energy storage element according to each of the plurality of state-of-charge ranges.

[0024] According to the above-mentioned energy storage information processing method (3), it is possible to efficiently derive a state of charge range suitable for energy trading from among a plurality of state of charge ranges based on the state of deterioration of the energy storage capacity, thereby more effectively supporting the operation of the energy storage system.

[0025] (4) In the electricity storage information processing method of (3) above, the state of charge range may be determined by selecting a state of charge range in which the predicted deterioration of the electricity storage element is smallest.

[0026] According to the electricity storage information processing method (4) above, it is possible to easily determine the state of charge range suitable for energy trading from among a plurality of state of charge ranges based on a comparison of the deterioration state of the electricity storage capacity.

[0027] (5) In the electricity storage information processing method of (3) or (4) above, the range of state of charge may be determined by acquiring a range of state of charge selected by a user from among the plurality of ranges of state of charge.

[0028] According to the electricity storage information processing method (5) above, the desired state of charge range can be determined by user selection, thereby improving the degree of freedom in electricity trading.

[0029] (6) In any one of the above energy storage information processing methods (1) to (5), the range of the state of charge may be defined by a first threshold and a second threshold, and if the predicted state of charge is less than the first threshold or greater than the second threshold, it may be determined that energy trading is possible, and if the predicted state of charge is greater than the first threshold and less than the second threshold, it may be determined that energy trading is not possible.

[0030] According to the energy storage information processing method of (6) above, it is possible to implement or restrict energy trading in accordance with the state of charge of the energy storage element. By appropriately setting the first threshold and the second threshold, it is possible to adjust the average SOC of the energy storage element to be within a desired SOC range by implementing energy trading, thereby suppressing deterioration of the energy storage element. Since energy trading is restricted when the state of charge exceeds the first threshold and is below the second threshold, it is possible to ensure the charging or discharging capacity required to use the energy storage element for its intended purpose.

[0031] (7) In any one of the above energy storage information processing methods (1) to (6), the energy trading content may include the amount of energy traded during the target period, and the amount of energy traded may be derived by multiplying the length of time during the target period during which it is determined that energy trading is possible by a predetermined unit amount of energy, or by calculating the amount of energy corresponding to the difference between the predicted state of charge and the first threshold or the second threshold.

[0032] According to the electricity storage information processing method (7) above, the amount of electricity that can be traded during a target period can be calculated with high accuracy based on the ratio of the time during which electricity can be traded to the target period, or the difference between the predicted state of charge and the range of state of charge.

[0033] (8) In any one of the energy storage information processing methods (1) to (7) above, the target period may be divided into a plurality of unit periods, and processing including prediction of the state of charge to derivation of the energy trading details may be repeatedly executed from the first unit period to the last unit period in the target period.

[0034] According to the electricity storage information processing method (8) above, by sequentially performing a series of processes for each unit period, the accuracy of prediction of the state of charge can be improved and the amount of energy traded can be more appropriately determined.

[0035] (9) In the energy storage information processing method of (8) above, the deterioration of the energy storage element when no energy trading is conducted in the first unit period may be predicted, and if it is determined that energy trading is possible in the first unit period, the deterioration of the energy storage element when energy trading is conducted in the first unit period may be predicted, and the predicted deterioration of the energy storage element when energy trading is conducted may be used as an initial value to predict the deterioration of the energy storage element when no energy trading is conducted in the second unit period following the first unit period.

[0036] According to the electricity storage information processing method of (9) above, when it is determined that electricity trading is possible in the first unit period, the deterioration in the case where electricity trading is performed in the first unit period is predicted again by returning to the start point of the first unit period, thereby further improving the accuracy of the deterioration prediction.

[0037] (10) In any one of the energy storage information processing methods (1) to (9) above, the predicted state of charge, the derived content of the energy trading, or the deterioration of the energy storage element according to the content of the energy trading may be output.

[0038] According to the electricity storage information processing method of (10) above, the state of charge, the details of the electricity transaction, or the deterioration of the electricity storage element can be presented, so that the output results can be grasped reliably, and persuasiveness and reliability can be increased.

[0039] (11) An energy storage information processing device according to one embodiment of the present disclosure includes a processing unit that predicts the state of charge of an energy storage element for a target period when no energy trading is conducted using the energy storage element, determines whether energy trading is possible for the target period based on the predicted state of charge and a range of state of charge within which energy trading is possible, and, if it is determined that energy trading is possible, executes a process to derive the content of energy trading for the target period based on the state of charge.

[0040] (12) A computer program according to one embodiment of the present disclosure predicts the state of charge of a storage element for a target period when no electricity trading is conducted using the storage element, determines whether electricity trading is possible for the target period based on the predicted state of charge and a range of states of charge within which electricity trading is possible, and, if it is determined that electricity trading is possible, causes a computer to execute a process of deriving electricity trading details for the target period based on the state of charge.

[0041] The present disclosure will be specifically described with reference to the drawings showing embodiments thereof.

[0042] (First embodiment) 2 is a schematic diagram of the electricity storage information processing system 100. The electricity storage information processing system 100 of this embodiment includes a first information processing device 1, a second information processing device 2, and an information terminal device 3. The first information processing device 1, the second information processing device 2, and the information terminal device 3 are communicably connected via a network N1. An aggregator server 4 is connected to the network N1.

[0043] The first information processing device 1 is a device capable of various information processing and information transmission and reception, such as a server computer, a personal computer, a quantum computer, etc. The first information processing device 1 can receive transaction-related information relating to the details of electricity trading using the power storage system 5 including the power storage element 51 from the second information processing device 2, and present the received information to a user of the power storage system 5 via the information terminal device 3. The first information processing device 1 may be provided within the power storage system 5.

[0044] The second information processing device 2 is a device capable of various information processing and information transmission / reception, such as a server computer, a personal computer, a quantum computer, etc. In this embodiment, the second information processing device 2 is assumed to be an energy management system (EMS), hereinafter also referred to as an EMS2. As shown on the left side of Fig. 2, an EMS2 corresponding to each of a plurality of power storage systems 5 having different configurations is provided in each of the power storage systems 5.

[0045] Each power storage system 5 has a built-in communication device 6 for transmitting measurement data related to the power storage element 51 to the EMS 2, or is connected to the communication device 6. The communication device 6 sequentially transmits the measurement data of the target power storage element 51 to the EMS 2. The communication device 6 may be a network interface card.

[0046] The EMS2 acquires measurement data related to the energy storage elements 51 transmitted from the communication devices 6 of each energy storage system 5 via the network N2. The EMS2 derives power trading details suitable for the energy storage elements 51 based on the measurement data and executes processing to provide the details to users via the first information processing device 1. The EMS2 can derive power trading details for each energy storage system 5 in which the EMS2 is installed and provide the details to each user of each energy storage system 5. The EMS2 securely transmits the derived information to the first information processing device 1 via wireless or wired communication. The EMS2 may be integrated with the first information processing device 1.

[0047] The information terminal device 3 is, for example, a personal computer, a smartphone, a tablet terminal, etc. The information terminal device 3 is used, for example, by a user (for example, a system administrator, a customer, etc.) of the power storage system 5. The information terminal device 3 can display transaction-related information presented by the first information processing device 1.

[0048] The aggregator server 4 is a device capable of various information processing and information transmission and reception, such as a server computer, a personal computer, or a quantum computer. The aggregator server 4 is used by an aggregator. The aggregator is a specified business operator that purchases electricity from users of the energy storage system 5 (purchasing electricity) or provides electricity to users (selling electricity) based on a prior contract with the users. The aggregator server 4 submits bids to the energy trading market 7 for the electricity stored in the energy storage system 5.

[0049] The electricity trading market 7 is, for example, a wholesale electricity trading market at the Japan Electric Power Exchange (JEPX). In the electricity trading market 7, electricity market unit prices (yen / kWh) indicating the price per unit amount of electricity are traded.

[0050] The power storage system 5 of this embodiment is, for example, an ESS (Energy Storage System). The ESS includes a large number of power storage elements 51. The power storage system 5 may include a power supply-related device 52 such as a power conditioner. The ESS is installed alongside power generation facilities such as solar power generation facilities, wind power generation facilities, hydroelectric power generation facilities, biomass power generation facilities, geothermal power generation facilities, and thermal power generation facilities, stores power supplied from the power generation facilities, and supplies the stored power to a load. The power storage system 5 is connected (grid-interconnected) to the power grid PS. The power storage system 5 can supply stored power to the power grid PS or store power supplied from the power grid PS. The power storage system 5 is used to absorb fluctuations in power generated by the power generation facilities and for self-consumption of stored power, as well as for power trading in the energy trading market 7.

[0051] The network N1 is, for example, the Internet. The network N1 may include a carrier network that realizes wireless communication according to a predetermined mobile communication standard. The network N1 may include a general optical fiber line. The network N2 is, for example, a private network such as a LAN (Local Area Network).

[0052] FIG. 3 shows an example of the configuration of a container C of the power storage system 5. The container C of the power storage system 5 houses multiple (e.g., nine) power storage panels. Although not shown, the power storage system 5 may be configured by omitting the container C and installing multiple power storage panels outdoors. Each power storage panel may include, for example, three banks. Each bank is configured by electrically connecting multiple power storage modules in series. A power storage module has multiple power storage cells connected in series. The three banks are connected in parallel with each other. A configuration in which multiple banks are connected in parallel is also called a domain. When the required output voltage is low (when the number of power storage modules connected in series can be reduced), the power storage panel may include, for example, six banks. The number of banks included in the power storage panel and the number of power storage modules included in each bank are selected arbitrarily. The power storage panel in FIG. 3 includes one domain, but may include multiple domains.

[0053] The energy storage module is configured by connecting multiple energy storage cells in series. In one example, the energy storage cells are battery cells based on lithium ion secondary batteries. Alternatively, the energy storage cells may be battery cells based on all-solid-state batteries, lead batteries, redox flow batteries, zinc-air batteries, alkaline manganese batteries, lithium-sulfur batteries, sodium-sulfur batteries, silver-zinc oxide batteries, nickel-metal hydride batteries, molten salt thermal batteries, etc., or may be capacitors. The number of energy storage cells constituting the energy storage module is selected arbitrarily. In this specification, the term "energy storage element" may refer to an energy storage cell, an energy storage module, a bank, or a domain.

[0054] Fig. 4 shows an example of an electrical connection configuration of the power storage system 5. Fig. 4 shows an electrical connection configuration of one power storage board included in the power storage system 5. In the example of Fig. 4, the power storage board has three banks: bank #1, bank #2, and bank #3.

[0055] Each of the banks #1, #2, and #3 includes a bank management device 53, a control board provided in each power storage module, and the like.

[0056] Each bank is connected to the outside (power supply source, power supply destination, etc.) via a power circuit. The power supply source to the bank is a power generation facility or a power system PS, and the power supply destination of the bank is a load (or power system PS). A power converter (not shown) may be provided between the bank and the power supply source or power supply destination. The bank stores (charges) power supplied from the power supply source and supplies (discharges) the stored power to the external power supply destination.

[0057] The control board is equipped with various sensors that acquire measurement data related to each energy storage cell of the energy storage module. The measurement data can be acquired repeatedly at appropriate intervals, such as 0.1 seconds, 0.5 seconds, or 1 second. The control board is equipped with, for example, a current sensor that measures the current flowing through each bank, a voltage sensor that measures the voltage of each bank, and a temperature sensor that measures the temperature of each bank. A plurality of each type of sensor may be provided. The installation position of the control board may be changed as appropriate.

[0058] The bank management device 53 is a device for monitoring the state of the bank. The bank management device 53 acquires measurement data output from a control board with a communication function. The measurement data includes measurement values ​​such as the current, voltage, and temperature of each storage element in the bank. The bank management device 53 monitors the state of the bank at each time by, for example, calculating the SOC of the bank based on the time-series data of the acquired measurement data.

[0059] The power storage system 5 includes a domain management device M and a communication device 6. The domain management device M and the communication device 6 may be housed in a control panel built into the container C, separate from the power storage panel.

[0060] The domain management device M is a device for monitoring the status of a domain (an entire bank). The domain management device M is communicably connected to the bank management device 53 of each bank. The domain management device M aggregates measurement data from the bank management device 53 of each bank belonging to the domain. The measurement data transmitted from the bank management device 53 to the domain management device M includes, for example, measurement values ​​of current, voltage, and temperature, and an SOC based on these measurement values. An existing communication standard such as CAN (Controller Area Network) is used for communication between the domain management device M and each bank management device 53. Alternatively, communication standards such as LIN (Local Interconnect Network), ECHONET (registered trademark), and ECHONET Light (registered trademark) may be used.

[0061] The communication device 6 securely transmits data to the EMS 2 (see FIG. 2) wirelessly or via a wired connection. The domain management device M transmits the measurement data of the power storage elements acquired from each battery management device 112 to the EMS 2 via the communication device 6. The domain management device M or the communication device 6 may hold the measurement data for a predetermined time period and transmit the measurement data to the EMS 2 at predetermined time intervals.

[0062] The EMS 2 collects and stores the measurement data received from each power storage system 5. The measurement data of the power storage system 5 transmitted to the EMS 2 may be associated with identification information of the power storage element 51, data on the connection configuration, etc. The EMS 2 can identify which power storage system 5 the data transmitted from the communication device 6 is related to, and store the data according to the connection configuration of the power storage element 51.

[0063] 5 is a block diagram showing an example of the configuration of the first information processing device 1 and the EMS 2. The first information processing device 1 includes a processing unit 11, a storage unit 12, and a communication unit 13. The first information processing device 1 may be a single computer, or may be a computer system configured with multiple computers and peripheral devices. The first information processing device 1 may be a virtual machine whose entity is virtualized, or may be a cloud.

[0064] The processing unit 11 includes one or more processors such as a central processing unit (CPU), a microprocessing unit (MPU), a graphics processing unit (GPU), etc. The processing unit 11 includes a memory that is a temporary storage medium such as a static random access memory (SRAM) or a dynamic random access memory (DRAM). The processing unit 11 may include functions such as a timer that measures the elapsed time from when a measurement start instruction is given to when a measurement end instruction is given, a counter that counts numbers, and a clock that outputs date and time information. The processing unit 11 may be realized by software, or partly or entirely by hardware such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA).

[0065] The storage unit 12 includes a non-volatile storage device such as a hard disk or a flash memory. The storage unit 12 may be separate from the first information processing device 1 and may be one or more external storage devices connected externally. The storage unit 12 stores various computer programs and data referenced by the processing unit 11. The storage unit 12 of this embodiment stores a program 121 for causing a computer to execute processing related to the provision of transaction-related information for the energy storage element 51. The program 121 includes a program for realizing a web server function. The processing unit 11, using the program 121, presents transaction-related information to the information terminal device 3 via a web page and also performs the web server function of accepting information from a user.

[0066] A computer program (program product) including the program 121 may be provided by a non-transitory recording medium 1A on which the computer program is readably recorded. The recording medium 1A is a portable memory such as a CD-ROM, a USB memory, or an SD (Secure Digital) card. The processing unit 11 reads a desired computer program from the recording medium 1A using a reading device (not shown) and stores the read computer program in the storage unit 12. Alternatively, the computer program may be provided by communication. The program 121 may be a single computer program or may be composed of multiple computer programs. The program 121 may also be executed on a single computer or may be executed cooperatively by multiple computers.

[0067] The communication unit 13 includes a communication device that realizes communication via the network N1. The processing unit 11 transmits and receives data to and from the EMS 2 and the information terminal device 3 through the communication unit 13.

[0068] The EMS 2 includes a processing unit 21, a storage unit 22, and a communication unit 23. The EMS 2 may be a single computer, or may be a computer system configured with multiple computers and peripheral devices, etc. The EMS 2 may be a virtual machine whose entity is virtualized, or may be a cloud.

[0069] The processing unit 21 includes one or more processors such as a CPU, an MPU, a GPU, etc. The processing unit 21 includes a memory that is a temporary storage medium such as an SRAM or a DRAM. The processing unit 21 reads and executes various computer programs stored in the memory or the storage unit 22, causing the entire device to function as the electricity storage information processing device of the present disclosure. The processing unit 21 may also include functions such as a timer, a counter, and a clock. The processing unit 21 may be realized by software, or part or all of it may be realized by hardware.

[0070] The storage unit 22 includes a nonvolatile storage device. The storage unit 22 stores various computer programs and data referenced by the processing unit 21. The storage unit 22 of this embodiment stores a program 221 for causing a computer to execute processing related to deriving the details of power trading for the energy storage elements 51, and a measurement DB (Data Base) 222. A computer program (program product) including the program 221 may be provided by a non-transitory recording medium 2A on which the computer program is readably recorded, or may be provided via communication.

[0071] The measurement DB 222 is a database that stores measurement data received from the power storage system 5. The measurement DB 222 stores records in chronological order, linking information such as identification information of the power storage element 51, measurement date and time, and measurement data, using, for example, a data ID for identifying the measurement data as a key. The measurement data includes, for example, the current, voltage, temperature, and SOC of the power storage element 51. The measurement data includes data when the power storage element is charged or discharged. Every time the processing unit 21 receives measurement data transmitted from the power storage system 5, the processing unit 21 stores the received measurement data in chronological order in the measurement 222.

[0072] The storage unit 22 may further store a transaction SOC range DB 223. Details of the transaction SOC range DB 223 will be described in other embodiments.

[0073] The communication unit 23 includes a communication device that realizes communication via the network N1 and the network N2. The processing unit 21 transmits and receives data to and from the first information processing device 1 and the communication device 6 via the communication unit 23.

[0074] The configurations of the first information processing device 1 and the EMS 2 are not limited to the above examples, and may include, for example, a display unit for displaying images, an operation unit for accepting user operations, and the like.

[0075] 6 is a block diagram showing an example of the configuration of the information terminal device 3. The information terminal device 3 includes a processing unit 31, a storage unit 32, a communication unit 33, a display unit , and an operation unit .

[0076] The processing unit 31 includes one or more processors such as a CPU, a GPU, etc. The storage unit 32 includes a non-volatile storage device such as a hard disk or a flash memory. The storage unit 32 stores various computer programs and data referenced by the processing unit 31. The computer programs stored in the storage unit 32 include a program 321. The program 321 may include a web browser function. By executing the program 321, the processing unit 31 accesses the first information processing device 1 via the web browser and executes processing related to the output of transaction-related information.

[0077] The communication unit 33 includes a communication device that realizes communication via the network N1. The processing unit 31 transmits and receives data to and from the first information processing device 1 via the communication unit 33.

[0078] The display unit 34 includes a display device such as a liquid crystal display, an organic EL (Electro Luminescence) display, etc. The display unit 34 displays transaction-related information on the power storage element 51 received from the first information processing device 1 in accordance with instructions from the processing unit 31.

[0079] The operation unit 35 is an interface that accepts user operations. The operation unit 35 includes, for example, a keyboard, a mouse, a touch panel device with a built-in display, a speaker, a microphone, etc. The operation unit 35 accepts operation input from the user and sends a control signal according to the operation content to the processing unit 31.

[0080] The method executed by the EMS2 is explained below. In the following, an example is explained in which an energy trading plan is generated using the day-ahead market, which is a wholesale energy trading market and trades electricity to be delivered the following day, as the bidding target, but the bidding target may also be the intraday market. The day-ahead market is a market where electricity to be delivered the following day is traded, and the bidding period closes at a specified time the day before (for example, 10:00 a.m.). When conducting energy trading, it is necessary to finalize the details of the energy trading and submit bids within the bidding period.

[0081] The method executed by EMS2 mainly includes the following steps: predicting the SOC of the energy storage element 51 when no energy trading is performed during the prediction period, determining whether energy trading using the energy storage element 51 is possible based on the prediction result, deriving the content of the energy trading when energy trading is possible, and predicting deterioration of the energy storage element 51 according to the content of the energy trading.

[0082] FIG. 7 is a diagram illustrating the flow of processing related to the derivation of energy transaction details. In the example shown in FIG. 7, the EMS 2 starts a series of processes at 8:00 a.m. one day before (the day before) the delivery date (today) of the energy transaction that is the subject of the bid. The prediction period (target period) that is the subject of the series of processes is set to be from the start point (present) of the processes to a predetermined end point. The length of the prediction period can be set as appropriate, but as the prediction period becomes longer, the uncertainty factors at the time of prediction increase and the prediction accuracy is likely to decrease, so it is desirable that the period be relatively short. In this embodiment, the prediction period is set to be from the start point to the end of delivery of the energy transaction that is the subject of the bid (for example, midnight on the delivery day).

[0083] The EMS2 divides the prediction period into a plurality of unit periods and performs processing for each unit period sequentially. The length of the unit period is not particularly limited, but may be set, for example, taking into account the bidding unit in the energy trading market. In this embodiment, the length of the unit period is assumed to be 30 minutes. The first unit period in the prediction period is from 8:00 to 8:30 on the prediction date (one day before the delivery date), the second unit period is from 8:30 to 9:00 on the prediction date, and the last unit period is from 23:30 to 24:00 on the day after the prediction date (the delivery date). In the following explanation, for convenience, the unit period to be processed will also be referred to as the target unit period.

[0084] SOC forecast process without energy trading The EMS2 generates an expected load pattern (hereinafter also referred to as a first load pattern) that is expected to be applied to the energy storage element 51 when no energy trading is performed during the target unit period. When no energy trading is performed, it means that the energy storage element 51 is used for a purpose other than energy trading. The expected load pattern may include information that indicates a change in power or current. The EMS2 may further generate an environmental temperature pattern (expected temperature pattern) that is expected for the energy storage element 51 when no energy trading is performed.

[0085] The EMS2 reads, for example, measurement data of the voltage, current, and temperature of the energy storage element 51 for a predetermined past period stored in the measurement DB 222, and generates a first load pattern corresponding to the target unit period based on the changes in the read voltage, current, and temperature. The process of generating the first load pattern may be executed for each unit period, or may be executed collectively for all unit periods in the prediction period.

[0086] The EMS2 predicts the transition of the SOC and deterioration of the storage element 51 during the target unit period when the storage element 51 is charged or discharged under the first load pattern in accordance with the generated first load pattern for the target unit period. The following describes a case where the storage capacity (battery capacity) of the storage element 51 is calculated as information representing the deterioration state of the storage element 51. Alternatively, the deterioration of the storage element 51 may be, for example, the capacity maintenance rate (SOH: State of Health), internal resistance, charge / discharge characteristics, or the amount of deterioration of the storage capacity.

[0087] The SOC and storage capacity can be predicted using known techniques, such as those described in Japanese Patent Nos. 6428957 and 7173180. The techniques described in the above publications predict the current, voltage, and temperature of the storage element 51 when it is charged and discharged according to an assumed load pattern through a simulation based on the assumed load pattern. Furthermore, the storage capacity of the storage element 51 can be predicted based on the SOC and temperature of the storage element 51 based on the obtained current, etc. An assumed temperature pattern may also be included as an input element for the simulation.

[0088] The EMS2 uses the technology of the above publication to execute a simulation based on the first load pattern and the expected temperature pattern for the target unit period, and calculates the predicted value of the SOC (predicted SOC) and the predicted value of the storage capacity for the target unit period in the case where no power trading is performed. The predicted SOC can be calculated using the following relational expression.

[0089]

number

[0090] In the above formula, SOC' is the current SOC (%), SOC is the SOC (%) at the previous point in time, I is the current (A) flowing through the storage element, Δt is the calculation interval (s), and Cap is the storage capacity (Ah). I can be an estimated current value obtained through simulation. SOC' means predicted SOC.

[0091] The EMS2 calculates the predicted SOC and storage capacity from the start point to the end point of the target unit period for each calculation step.

[0092] Process for determining whether or not to trade electricity When determining whether or not to permit the power trade, the EMS 2 acquires a trading SOC range (trading SOC conditions) for permitting the power trade. The trading SOC range is set in advance by, for example, an ESS manufacturer or service provider, and is stored in the storage unit 22 of the EMS 2. The trading SOC range may be set for each energy storage element 51 or each energy storage system 5.

[0093] FIG. 8 is a diagram illustrating a trading SOC range and a method for determining whether or not to trade electricity. The trading SOC range is defined, for example, by a power purchase SOC threshold for determining whether or not to purchase electricity and a power sale SOC threshold for determining whether or not to sell electricity. The power purchase SOC threshold and the power sale SOC threshold are values ​​between 0 and 100% and are set so that the power purchase SOC threshold is equal to or less than the power sale SOC threshold. When the SOC value of the electricity storage element 51 is equal to or less than the power purchase SOC threshold, it is determined that electricity purchase is possible. When the SOC value of the electricity storage element 51 is equal to or greater than the power sale SOC threshold, it is determined that electricity sale is possible. Between the lower limit control SOC of the electricity storage element 51 and the power purchase SOC threshold, only electricity purchase is possible, and electricity sale is not possible. Between the power sale SOC threshold and the upper limit control SOC, only electricity sale is possible, and electricity purchase is not possible. Between the power purchase SOC threshold and the power sale SOC threshold, it is determined that electricity trade is not possible. The lower limit control SOC and the upper limit control SOC may be predetermined values ​​specific to the storage element 51. The lower limit control SOC and the upper limit control SOC may be updated at predetermined time intervals, taking into account deterioration of the storage element 51.

[0094] The EMS2 determines whether or not to allow energy trading during the target unit period based on the acquired SOC threshold and the predicted SOC calculated in the SOC prediction step. The EMS2 determines whether or not to allow energy buying by determining whether or not the predicted SOC is equal to or lower than the power purchase SOC threshold, and determines whether or not to allow energy selling by determining whether or not the predicted SOC is equal to or higher than the power selling SOC threshold. The determination of whether or not to allow energy trading is performed for multiple times during the target unit period based on each predicted SOC for each calculation step of the SOC prediction.

[0095] FIG. 9 shows an example of the determination result of whether or not electricity trading is possible. The vertical axis of the graph in FIG. 9 is the predicted SOC (%), and the horizontal axis is the prediction period. As described above, if the predicted SOC is equal to or less than the power purchase SOC threshold, it is determined that electricity purchase is possible. If the predicted SOC is equal to or greater than the power sale SOC threshold, it is determined that electricity sale is possible. In the example shown in FIG. 9, in unit period 1 on the left, it is determined that electricity purchase is possible for some time. In unit period 2 in the middle, it is determined that electricity purchase is possible for some time and electricity sale is possible for some time.

[0096] Derivation process of electricity trading details When the EMS 2 determines that electricity can be purchased or sold during the target unit period, the EMS 2 derives the electricity trading details for the target unit period. The electricity trading details include the amount of electricity to be traded (transaction amount of electricity).

[0097] In electricity trading, continuous charging or discharging is required from the start to the end of the period of actual supply and demand. The amount of energy traded is the maximum amount of energy that can be charged or discharged within the target unit period, and it is desirable that the amount of energy be a value that can prevent overcharging or over-discharging throughout the entire target unit period.

[0098] The method for deriving the amount of traded energy is not limited, but an example is shown below. The amount of traded energy is calculated by multiplying the maximum traded power of the energy storage element 51 by the ratio of the total amount of energy tradeable time within the target unit period to the total amount of time of the target unit period (total amount of energy tradeable time / total amount of target unit period), and the total amount of the unit period. In calculating the amount of traded energy, sold (discharged) energy is shown as a negative value, and purchased (charged) energy is shown as a positive value. The maximum traded energy is the maximum amount of traded energy (absolute value of the amount of energy) corresponding to the facility capacity of the energy storage element 51 or the energy storage system 5. The maximum traded energy is set in advance by, for example, a system administrator. The minimum amount of traded energy is, for example, specified in advance by the trading conditions of the energy trading market, and is the smallest trading unit.

[0099] In the example of unit period 1 on the left shown in Figure 9, it is assumed that the total length of the unit period is 30 minutes and the total time available for purchasing electricity is 7 minutes. The amount of electricity traded for purchasing electricity in unit period 1 is expressed by the following formula. Amount of electricity traded [kWh] = + (maximum amount of electricity traded [kWh]) × (7 / 30) × 0.5 [h] The trading amount of power purchased is a positive value, and the trading amount of power purchased is equal to or greater than the minimum trading amount of power.

[0100] In the example of unit period 2 in the middle shown in Figure 9, assume that the total time of the unit period is 30 minutes, the total time available for purchasing electricity is 3 minutes, and the total time available for selling electricity is 8 minutes. Normally, in electricity trading, it is not permitted to simultaneously purchase and sell electricity within one unit period. If it is determined that both purchasing and selling electricity are possible, one of them is selected. In this embodiment, the one with the longer total time is selected preferentially, but the selection method is not limited to this. In the example of unit period 2, the one with the longer total time is prioritized. The amount of traded electricity for selling electricity in unit period 2 is expressed by the following formula. Amount of electricity traded [kWh] = - (maximum amount of electricity traded [kWh]) + (8 / 30) x 0.5 [h] The trading amount of power sold is a negative value, and the trading amount of power sold≦−minimum trading amount of power.

[0101] As another example of a method for deriving the amount of energy traded, the amount of energy traded may be a value of the amount of energy traded that corresponds to the difference (absolute value of the difference) between the predicted SOC for the target unit period and the power purchase SOC threshold or the power sale SOC threshold. The difference may be the difference between the minimum value of the predicted SOC for the target unit period and the power purchase SOC threshold, or the difference between the maximum value of the predicted SOC for the target unit period and the power sale SOC threshold.

[0102] Prediction process of storage capacity according to the details of electricity trading The EMS2 predicts the storage capacity of the storage element 51 according to the details of the power transaction based on the derived amount of power transaction. When predicting the storage capacity, the EMS2 generates an assumed load pattern (hereinafter also referred to as a second load pattern) that is assumed to be applied to the storage element 51 when power trading is performed in the target unit period. The EMS2 predicts the storage capacity based on the generated second load pattern, taking into account the details of the power transaction.

[0103] The second load pattern can be generated by adding together the power or current in the first load pattern when no energy trading is performed and the power or current corresponding to the calculated amount of energy to be traded. The prediction of the storage capacity based on the second load pattern can be performed using the same method as the prediction of the storage capacity based on the first load pattern described in the SOC prediction process. EMS2 executes a simulation based on the second load pattern and the expected temperature pattern, and recalculates the transition of the storage capacity over the target unit period when energy trading is performed.

[0104] The process of deriving the amount of energy traded and the process of predicting the storage capacity are carried out only when it is determined that buying or selling of energy is possible within the target unit period. If it is determined that buying or selling of energy is impossible throughout the target unit period, the process of deriving the amount of energy traded and the process of predicting the storage capacity for the target unit period are omitted.

[0105] The EMS2 repeatedly executes a series of processes including the SOC prediction step, the determination step of whether or not to trade electricity, the deriving step of the amount of traded electricity, and the prediction step of the storage capacity, in order from the first unit period to the last unit period in the prediction period. The EMS2 acquires the amount of traded electricity and the storage capacity for the entire prediction period.

[0106] Among the processes included in each of the above steps, processes that do not necessarily need to be repeated every unit period (e.g., generating a first load pattern, obtaining a transaction SOC range, etc.) may be executed separately from the repeated processing every unit period, for example, may be executed before the repeated processing.

[0107] An example of the flow of recursive processing executed by the EMS will be described using Figure 7. At time point A, the EMS2 starts predictive calculation of the SOC and storage capacity from the start to the end of the first unit period in the case where there is no energy trading. At time point B, the predictive calculation up to the end of the first unit period is completed, and a determination result is obtained that energy trading is not possible in all time slots. At time point B, the EMS2 temporarily stores the obtained predicted values ​​(first predicted values) of the SOC and storage capacity in the case where there is no energy trading.

[0108] At time point C, the EMS2 sets the stored first predicted value as the initial value and starts predictive calculation of the SOC and storage capacity from the start to the end of the second unit period in the case where there is no energy trading. At time point D, the predictive calculation up to the end of the second unit period is completed, and a determination is made that energy trading is possible in some time slots. At time point E, the EMS goes back a time equivalent to the length of the unit period (30 minutes) and starts predictive calculation of the SOC and storage capacity from the start to the end of the second unit period in the case where there is energy trading, using the stored first predicted value as the initial value. In other words, if the EMS2 determines that energy trading is possible, it goes back to the start point of the unit period and performs predictive calculation again. At time point F, the predictive calculation up to the end of the second unit period is completed. The EMS2 temporarily stores the obtained predicted values ​​(second predicted values) of the SOC and storage capacity in the case where there is energy trading.

[0109] At time G, the EMS starts predicting the SOC and storage capacity from the start to the end of the third unit period in the case where there is no energy trading, using the stored second predicted value as the initial value. After that, the EMS repeats the same series of processes until it completes the predictive calculations up to the end of the final unit period.

[0110] The target of the above-described series of processes may be a power storage system 5 including a plurality of power storage elements 51. For example, based on data for each power storage element 51, the EMS 2 predicts the predicted SOC and power storage capacity of the entire system using a predetermined algorithm, determines whether or not power trading is possible in the entire system, and derives the amount of power to be traded.

[0111] The EMS2 creates screen information for displaying transaction-related information including at least one of the obtained electricity transaction details and storage capacity. The EMS2 outputs the created screen information to the first information processing device 1. The first information processing device 1 generates a web page based on the screen information received from the EMS2 and outputs it to the information terminal device 3. The information terminal device 3 displays an output screen of the transaction-related information on the display unit 34 based on the web page data acquired from the first information processing device 1. The output of the transaction-related information is not limited to via a web page, and any appropriate form may be used as long as the transaction-related information can be displayed to the user through the information terminal device 3.

[0112] 10 shows an example of a transaction-related information output screen 330. The output screen 330 includes a table 331 showing an electricity trading plan according to the electricity trading content, a graph 332 showing the progress of the predicted SOC of the electricity storage system 5, and a graph 333 showing the progress of deterioration of the electricity storage system 5.

[0113] Table 331 includes, as display items, for example, the bidding product for electricity trading, bidding area, buying and selling type, order price, order volume, etc. For each unit time for which it is determined that electricity trading is possible, the EMS2 displays in table 331 a list of the product, bidding area, buying and selling or purchasing electricity, order price, and determined amount of electricity to be traded (order volume), etc., indicated by the start time and end time of the unit time.

[0114] The horizontal axis of graph 332 showing the predicted SOC represents time, and the vertical axis represents the predicted SOC (%) of the power storage system 5 being simulated. Graph 332 includes a curve representing the transition of the predicted SOC when power trading is performed, and a curve representing the transition of the predicted SOC when power trading is not performed. The output screen 330 of FIG. 8 indicates the transition when power trading is performed using a solid line, and the transition when power trading is not performed using a dashed line. The EMS 2 creates graph 332 by plotting the predicted SOC when power trading is performed from the start to the end of the prediction period predicted in the prediction step so that they can be distinguished from each other.

[0115] The horizontal axis of graph 333 showing deterioration indicates the number of years of operation (years), and the vertical axis indicates the capacity maintenance rate (%) of the power storage system 5 being simulated. The number of years of operation indicates the time elapsed since the start of operation in years. The EMS2 creates graph 332 by plotting the time change in the capacity maintenance rate, which represents the ratio of the power storage capacity to the known initial capacity, based on the power storage capacity predicted in the prediction process. Graph 333 includes a curve (solid line) representing the change in the capacity maintenance rate when power trading is performed and a curve (dashed line) representing the change in the capacity maintenance rate when power trading is not performed. While graph 333 includes a prediction period related to the power trading details and is set as a simulation period that is longer than the prediction period, graph 333 may be any graph that can at least grasp the deterioration state during the prediction period. Graph 333 may also be a graph representing the change in power storage capacity.

[0116] Through the output screen 330, the user can accurately understand the optimum power trading details for the power storage system 5 and the state of deterioration of the power storage system 5 due to the power trading.

[0117] 11 is a flowchart showing an example of a processing procedure executed by the EMS 2. The processing unit 21 of the EMS 2 executes the following processing in accordance with a program 221 stored in the storage unit 22.

[0118] The processing unit 21 of the EMS 2 divides the prediction period from the current time to the prediction end time into a plurality of unit periods (step S11). The processing unit 21 assigns a number to each unit period to count the unit periods in order from the unit period including the current time to the unit period including the prediction end time, with the unit period including the current time being numbered 1.

[0119] The processing unit 21 increments the number of the unit period to be set as the target unit period by 1 and selects a unit period that matches the number, thereby setting the target unit period in the prediction period (step S12). The initial value of the unit period number is zero.

[0120] The processing unit 21 generates a first load pattern for the case where no power trading is performed during the target unit period (step S13) based on measurement data including voltage, current, and temperature for a predetermined past period stored in the measurement DB 222. The processing unit 21 executes a simulation based on the generated first load pattern and assumed temperature pattern, and predicts changes in the SOC and storage capacity of the power storage element 51 for the case where no power trading is performed (step S14).

[0121] The processing unit 21 refers to the information stored in the storage unit 22 and acquires a trading SOC range including the power purchase SOC threshold and the power sale SOC threshold (step S15).

[0122] The processing unit 21 determines whether or not power trading is possible during the target unit period based on the acquired SOC thresholds and the predicted SOC predicted in step S14 (step S16). In step S16, the processing unit 21 determines whether or not power can be purchased by determining whether or not the predicted SOC is equal to or less than the power purchase SOC threshold, and determines whether or not power can be sold by determining whether or not the predicted SOC is equal to or greater than the power sale SOC threshold.

[0123] If it is determined that the energy trade is possible in the target unit period (S16: YES), the processing unit 21 derives the energy trade details including the amount of energy to be traded for the target unit period (step S17).

[0124] The processing unit 21 generates a second load pattern for when an energy transaction is performed in the target unit period based on the derived amount of energy to be traded (step S18). The processing unit 21 executes a simulation based on the generated second load pattern and the assumed temperature pattern, and predicts a transition in the storage capacity of the energy storage element 51 for when an energy transaction is performed (step S19). The processing unit 21 proceeds to step S20.

[0125] If it is determined that the energy trade is not possible in the target unit period (S16: NO), the processing unit 21 skips the processes from deriving the energy trade details to predicting the storage capacity, and proceeds to step S20.

[0126] The processing unit 21 determines whether or not the processes from step S12 onward have been executed for all unit periods of the prediction period (step S20).

[0127] If it is determined that the processing has not been performed for all unit periods (S20: NO), the processing unit 21 returns the processing to step S12 and performs the processing for the next unit period. The processing unit 21 repeatedly performs the processing from step S12 onwards for the first unit period to the last unit period in the prediction period.

[0128] If it is determined that the processing has been executed for all unit periods (S20: YES), the processing unit 21 associates the obtained data such as the details of the electricity trade, the predicted SOC, and the storage capacity, and stores them in the storage unit 22 (step S21).

[0129] The processing unit 21 creates transaction-related information including an energy trading plan corresponding to the determined energy trading details, a predicted SOC transition, and a storage capacity transition, and outputs the created transaction-related information to the information terminal device 3 via the first information processing device 1 (step S22). The processing unit 31 of the information terminal device 3 displays, for example, a web page based on the transaction-related information on the display unit 34. The processing unit 21 then ends the process.

[0130] The EMC2 may output a control command to the power storage system 5 to control charging or discharging of the power storage system 5 in accordance with an energy trading plan corresponding to the energy trading content. The EMC2 or the first information processing device 1 may transmit transaction-related information for a predetermined period to the information terminal device 3 in response to a display request transmitted from the information terminal device 3 at any timing.

[0131] The processing entity in each of the above-described flowcharts is not limited. Some or all of the processing executed by the EMS 2 may be executed by, for example, the aggregator server 4, the first information processing device 1, or the information terminal device 3.

[0132] According to this embodiment, it is possible to derive the details of the electricity trade that take into consideration the suppression of deterioration of the energy storage elements.

[0133] (Second embodiment) In the second embodiment, an optimal trading SOC range is determined from among multiple trading SOC ranges. The following mainly describes the differences from the first embodiment, and the same reference numerals are used to designate components that are common to the first embodiment, and detailed descriptions thereof will be omitted.

[0134] 5, the EMS 2 of the second embodiment stores a trading SOC range DB 223 in the storage unit 22. The trading SOC range DB 223 is a database that stores information on a plurality of trading SOC ranges.

[0135] 12 shows an example of the trading SOC range DB 223. The trading SOC range DB 223 stores records that link information such as the power purchase SOC threshold and the power sale SOC threshold that define the trading SOC range, using, for example, a data ID for identifying the trading SOC range as a key. The trading SOC range DB 223 stores multiple trading SOC ranges that differ in either or both of the power purchase SOC threshold and the power sale SOC threshold.

[0136] Fig. 13 is a flowchart showing an example of a processing procedure executed by the EMS 2 of the second embodiment. In Fig. 13, steps that perform the same processing as the steps shown in Fig. 11 are assigned the same step numbers as in Fig. 11.

[0137] The processing unit 21 of the EMS 2 executes the same processes as steps S11 to S14 in Fig. 11. The processing unit 21 refers to the transaction SOC range DB 223 and acquires a plurality of transaction SOC ranges (step S31).

[0138] The processing unit 21 executes the same processes as steps S16 to S21 in FIG. 11 for each of the acquired trading SOC ranges, and obtains the trading energy amount, storage capacity, etc. corresponding to each trading SOC range.

[0139] The processing unit 21 compares the storage capacities when an energy transaction is performed according to each trading SOC range, and selects, from among the multiple trading SOC ranges, the trading SOC range with the largest storage capacity, i.e., the trading SOC range with the smallest degradation (step S32). The processing of step S32 corresponds to the processing of determining the final trading SOC range to be applied to the energy transaction. The processing unit 21 finally derives (determines) the transaction content corresponding to the determined final trading SOC range (step S33).

[0140] The processing unit 21 executes the same process as step S22 in FIG. 11 to create and output transaction-related information corresponding to the transaction content within the determined final transaction SOC range.

[0141] The final transaction SOC range may be determined by a user's selection. Fig. 14 is a flowchart showing another example of the processing procedure executed by the EMS 2 of the second embodiment.

[0142] The processing unit 21 of the EMS 2 executes the same processes as steps S11 to S14 in Fig. 11. The processing unit 21 refers to the transaction SOC range DB 223 and acquires a plurality of transaction SOC ranges (step S41).

[0143] The processing unit 21 executes the same processes as steps S16 to S21 in Fig. 11 for each of the acquired trading SOC ranges to determine the trading energy amount, storage capacity, etc. corresponding to each trading SOC range. The processing unit 21 executes the same process as step S22 in Fig. 11 to create and output trading-related information corresponding to each determined trading SOC range.

[0144] The processing unit 21 determines a final transaction SOC range by acquiring the charge state range selected by the user from among the multiple transaction SOC ranges (step S42). The processing unit 21 finally derives (determines) the transaction content corresponding to the determined final transaction SOC range (step S43), and ends the process.

[0145] 15 shows an example of the transaction-related information output screen 335 of the second embodiment. The output screen 335 of FIG. 15 is displayed on the display unit 34 of the information terminal device 3 in response to the output of step S22.

[0146] The output screen 335 includes a graph 336 and a list 337 showing the progress of deterioration of the power storage system 5 corresponding to a plurality of trading SOC ranges.

[0147] The horizontal axis of graph 336 showing deterioration indicates the number of years of operation (years), and the vertical axis indicates the capacity maintenance rate (%) of the simulated power storage system 5. Graph 336 includes a plurality of curves that indicate the transition of the predicted SOC when power trading is performed, identifiable for each trading SOC range, and a curve that indicates the transition of the predicted SOC when power trading is not performed.

[0148] The list 337 includes, as display items, a scenario number for identifying a transaction SOC range, a deterioration point obtained by scoring the state of deterioration, a power selling SOC threshold and a power purchasing SOC threshold related to the transaction SOC range, and expected years (expected lifespan). The deterioration point is calculated so that it decreases as the predicted value of the power storage capacity increases. The expected years is calculated as the remaining period until the predicted power storage capacity reaches a predetermined value.

[0149] The output screen 335 is configured to allow the user to select one of a plurality of trading SOC ranges. The output screen 335 also functions as a selection field for accepting the final selection of the trading SOC range. In the example of FIG. 15 , the list 337 includes a plurality of check boxes 338 each associated with a respective trading SOC range. The user can input the trading SOC range they wish to apply to energy trading by using the operation unit 35 of the information terminal device 3 to select (specify) the check box 338 corresponding to one of the trading SOC ranges and pressing the scenario determination button 339. The selected trading SOC range is transmitted from the information terminal device 3 to the EMS 2 via the first information processing device 1.

[0150] When the EMS 2 acquires the selected final transaction SOC range, the EMS 2 may create and output the output screen 330 of FIG. 10 corresponding to the acquired final transaction SOC range.

[0151] A plurality of sets of the above-mentioned plurality of trading SOC ranges may be prepared. For example, a plurality of trading SOC ranges are set corresponding to a plurality of classifications of operation methods of the power storage system 5. The operation methods are classified into a plurality of stages, for example, from long-term operation aiming for long-term operation to active operation aiming for active power trading. A group of trading SOC ranges is set in association with each classification, in which the power selling SOC threshold and the power buying SOC are varied according to the operation purpose. The trading SOC range DB 223 stores the operation methods and the trading SOC ranges in association with each other.

[0152] When deriving the details of the energy trade, the EMS 2, for example, accepts a selection of an operation method from a user in advance. The EMS 2 reads out a plurality of trading SOC ranges corresponding to the selected operation method and executes the process of Fig. 14 for the read out plurality of trading SOC ranges. The operation method can be changed as appropriate.

[0153] According to this embodiment, it is possible to select an optimum trading SOC range from among a plurality of trading SOC ranges, taking into consideration the suppression of deterioration of the power storage system 5.

[0154] The electricity storage information processing method, electricity storage information processing device, and computer program of the present embodiment may be applied to electricity trading for energy management such as peak shifting.

[0155] The embodiments disclosed herein should be considered to be illustrative in all respects and not restrictive. The technical features described in each embodiment can be combined with each other, and the scope of the present invention is intended to include all modifications within the scope of the claims and the scope equivalent to the claims. The sequences shown in each embodiment are not limited, and the order of each process may be changed within a range consistent with the present invention, and multiple processes may be executed in parallel. The entity that performs each process is not limited, and the process of each device may be executed by another device within a range consistent with the present invention.

[0156] The matters described in each embodiment can be combined with each other. In addition, the independent claims and dependent claims described in the claims can be combined with each other in any combination, regardless of the reference format. Furthermore, although the claims use a format in which a claim references two or more other claims (multiple claim format), this is not limited to this format. A multiple claim (multi-multi claim) that references at least one other multiple claim may also be used. [Explanation of symbols]

[0157] 100 Electricity storage information processing system 1. First information processing device 2. Second information processing device (EMS, power storage information processing device) 21 Processing section 22 Memory section 23 Communications Department 221 Program (Computer Program) 2A Recording Media 3 Information terminal equipment 5. Energy storage system 51 Energy storage element

Claims

1. predicting a state of charge of the energy storage element during a target period when no energy trading using the energy storage element is performed; determining whether or not to allow the energy trade during the target period based on the predicted state of charge and a range of state of charge within which the energy trade is possible; If it is determined that the power transaction is possible, the power transaction content for the target period is derived based on the state of charge. A method for processing stored electricity information in which processing is performed by a computer.

2. Predicting deterioration of the energy storage element according to the derived details of the power trading. The method for processing stored power information according to claim 1 .

3. predicting deterioration of the energy storage elements according to the content of the power transaction for each of the plurality of state-of-charge ranges based on the plurality of state-of-charge ranges; A state-of-charge range to be applied to energy trading is determined from among the plurality of state-of-charge ranges based on the predicted deterioration of the storage elements corresponding to each of the plurality of state-of-charge ranges. The method for processing stored power information according to claim 1 or 2.

4. The state-of-charge range is determined by selecting the state-of-charge range in which the predicted deterioration of the storage element is smallest. The electricity storage information processing method according to claim 3 .

5. The charge state range is determined by acquiring a charge state range selected by a user from among the plurality of charge state ranges. The electricity storage information processing method according to claim 3 .

6. the state-of-charge range is defined by a first threshold and a second threshold; determining that energy trading is possible when the predicted state of charge is equal to or less than the first threshold or equal to or more than the second threshold; If the predicted state of charge exceeds the first threshold and is less than the second threshold, it is determined that the energy transaction is not possible. The electricity storage information processing method according to claim 1 or 2.

7. The electricity trading content includes the amount of electricity traded during the target period, The amount of energy to be traded is derived by multiplying the length of the time period during the target period during which it is determined that energy trading is possible by a predetermined unit amount of energy, or by calculating an amount of energy corresponding to a difference between the predicted state of charge and the first threshold or the second threshold. The electricity storage information processing method according to claim 6.

8. Dividing the target period into a plurality of unit periods, Repeatedly executing processes including prediction of the state of charge and derivation of the details of the power trade from the first unit period to the last unit period in the target period. The method for processing stored power information according to claim 1 or 2.

9. predicting deterioration of the energy storage element in the case where no energy trading is performed during the first unit period; When it is determined that the power trade is possible in the first unit period, predicting deterioration of the power storage element when the power trade is performed in the first unit period; The predicted deterioration of the storage element when the power transaction is performed is set as an initial value, and the deterioration of the storage element when the power transaction is not performed in a second unit period following the first unit period is predicted. The electricity storage information processing method according to claim 8.

10. Outputting the predicted state of charge, the derived content of the power trade, or the deterioration of the storage element according to the content of the power trade. The method for processing stored power information according to claim 1 or 2.

11. predicting a state of charge of the energy storage element during a target period when no energy trading using the energy storage element is performed; determining whether or not to allow the energy trade during the target period based on the predicted state of charge and a range of state of charge within which the energy trade is possible; If it is determined that the power transaction is possible, the power transaction content for the target period is derived based on the state of charge. Equipped with a processing unit for executing processing Electric storage information processing device.

12. predicting a state of charge of the energy storage element during a target period when no energy trading using the energy storage element is performed; determining whether or not to allow the energy trade during the target period based on the predicted state of charge and a range of state of charge within which the energy trade is possible; If it is determined that the power transaction is possible, the power transaction content for the target period is derived based on the state of charge. A computer program that causes a computer to perform a process.

Images