Operation control method for energy storage system and related product

Abstract

An operation control method for an energy storage system, comprising: acquiring energy storage parameters of the energy storage system and electricity pricing information of a power grid to which the energy storage system is connected, the electricity pricing information comprising the time-of-use pricing of electricity and the electricity consumption rate and the electricity generation consumption rate of each time-of-use period, and the energy storage parameters comprising the energy storage capacity, the charge efficiency and the discharge efficiency; on the basis of the electricity pricing information and the energy storage parameters, formulating a charge and discharge strategy for the energy storage system in each time-of-use period; acquiring an operation limiting condition of the energy storage system; on the basis of the operation limiting condition, adjusting and optimizing the charge and discharge strategy; and, on the basis of the adjusted and optimized charge and discharge strategy, controlling the energy storage system to charge and discharge. The method can adjust in time on the basis of the electricity pricing information so as to satisfy an arbitrage requirement, can adjust and optimize the charge and discharge strategy on the basis of the energy storage operation limiting condition, and fully considers other factors besides the electricity pricing, thereby overcoming the limitation of existing arbitrage algorithms. Also provided is a related product of the operation control method.

Description

Energy storage system operation control method and related products

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to Chinese invention patent application No. 202410389467.3, filed on April 1, 2024, entitled “Operation Control Method and Related Products of Energy Storage System,” the entire contents of which are incorporated herein by reference. Technical Field

[0003] The present application relates to energy storage technology, and in particular to an operation control method of an energy storage system and related products. Background Art

[0004] Energy storage peak-valley arbitrage is a business model that uses electricity price fluctuations to generate profits, and is mainly implemented in the electricity market.

[0005] In the power grid, electricity consumption has distinct peak and valley periods: peak hours (peak hours) and low hours (valley hours). To mitigate load fluctuations, power grid companies typically implement time-of-use pricing, setting peak, regular, and valley prices. Prices are typically higher during peak hours and lower during valley hours. For large-capacity energy storage power plants, the grid dispatching department may also issue special dispatch orders to temporarily adjust electricity prices. Therefore, to maximize economic benefits, energy storage operators need to implement targeted automatic charging and discharging strategies.

[0006] Energy storage peak-valley arbitrage works as follows: During periods of low electricity prices, energy storage equipment is used to store low-priced electricity. During peak electricity prices, such as during the day, the stored energy is released to the grid and sold at a higher price. Through this arbitrage method, energy storage investors can profit from the price difference between purchasing and selling electricity, while also helping to smooth out grid load fluctuations and improve power system efficiency.

[0007] The success of this business model depends on factors such as the cost of energy storage equipment, charging and discharging efficiency, the difference in peak and off-peak electricity prices on the local power grid, and relevant policies. With the large-scale application of renewable energy and the deepening of electricity market reforms, the commercial potential of energy storage peak-off-peak arbitrage is becoming increasingly apparent.

[0008] However, existing automatic charging and discharging strategies generally still rely on the settings of energy storage system managers, cannot respond to grid instructions in a timely manner, and arbitrage cannot achieve the goal of maximizing profits. Summary of the Invention

[0009] One purpose of this application is to increase the arbitrage space of energy storage systems.

[0010] A further purpose of this application is to timely adjust the charging and discharging strategy based on electricity price information to improve the response speed of the energy storage system.

[0011] Another purpose of this application is to optimize the charging and discharging strategy to ensure the operational reliability of the energy storage system.

[0012] In particular, according to one aspect of the present application, a method for controlling the operation of an energy storage system is provided. The method comprises:

[0013] Obtaining the energy storage parameters of the energy storage system and the electricity price information of the power grid to which the energy storage system is connected. The electricity price information includes the time-sharing period of the electricity price and the electricity consumption rate and power generation rate for each time-sharing period. The energy storage parameters include energy storage capacity, charging efficiency, and discharging efficiency.

[0014] Formulate charging and discharging strategies for the energy storage system in each time period based on electricity price information and energy storage parameters;

[0015] Obtaining the operating constraints of the energy storage system;

[0016] Adjust and optimize the charging and discharging strategies according to operating constraints;

[0017] The energy storage system is controlled to charge and discharge according to the adjusted and optimized charging and discharging strategy.

[0018] Optionally, the step of obtaining electricity price information of the power grid to which the energy storage system is connected includes:

[0019] Collect information released by power grid operators;

[0020] Use the preset electricity price keyword to match the message to determine whether there is electricity price information applicable to the energy storage system;

[0021] If it exists, extract the electricity price information from the message.

[0022] Optionally, the step of obtaining energy storage parameters of the energy storage system includes:

[0023] Obtain historical operating data of the energy storage system, including electricity metering data and energy storage energy data;

[0024] Obtaining expected values ​​of charging efficiency and discharging efficiency based on electricity metering data and energy storage energy data;

[0025] Collect environmental data of the energy storage system, correct the expected value of the charging efficiency and the expected value of the discharging efficiency according to the environmental data, and obtain corrected values ​​of the charging efficiency and the discharging efficiency, so as to formulate a charging and discharging strategy using the corrected values ​​of the charging efficiency and the discharging efficiency.

[0026] Optionally, the step of formulating a charging and discharging strategy for the energy storage system in each time-sharing period based on electricity price information and energy storage parameters includes:

[0027] Calculate the actual charging rate of the energy storage system based on the discharge efficiency and power generation rate;

[0028] Compare the difference between the actual charging rate and the actual payment rate between different time-sharing periods;

[0029] Formulate charging and discharging strategies for each time period based on the difference.

[0030] Optionally, the operating constraints include the depth of charge and discharge of the energy storage battery;

[0031] The steps to obtain the operating constraints of the energy storage system include:

[0032] Obtain the battery type and battery operation data of the energy storage system;

[0033] The battery type and battery operation data of the energy storage system are input into a pre-trained battery charge and discharge model, and the battery charge and discharge model is used to determine the charge and discharge depth of the battery of the energy storage system to ensure the cycle life of the battery.

[0034] Optionally, the step of adjusting and optimizing the charge and discharge strategy according to the operating constraints includes:

[0035] According to the charge and discharge depth determined by the battery charge and discharge model, the upper limit of the energy storage capacity during the charging process of the energy storage system and the lower limit of the energy storage capacity during the discharging process of the energy storage system are set respectively;

[0036] Adjust the charging and discharging strategy according to the upper and lower limits of energy storage capacity.

[0037] Optionally, the operating constraint further includes a temperature rise rate of the energy storage system;

[0038] The steps to obtain the operating constraints of the energy storage system include:

[0039] Obtain the ambient temperature and battery temperature of the energy storage system;

[0040] Calculate the temperature rise rate of the energy storage system during charging based on the ambient temperature and battery temperature.

[0041] Optionally, the step of adjusting and optimizing the charge and discharge strategy according to the operating constraints includes:

[0042] Obtaining the ambient temperature forecast during the charging period in the charge and discharge strategy;

[0043] Determine whether the energy storage system temperature exceeds the limit during the charging period based on the temperature rise rate and ambient temperature forecast;

[0044] If the temperature exceeds the limit, the charging period in the charge and discharge strategy is changed and / or the charging power in the charge and discharge strategy is limited.

[0045] Optionally, the operating constraints also include maintenance costs of the energy storage system;

[0046] The steps to obtain the operating constraints of the energy storage system include:

[0047] Obtaining the operation history of the energy storage system, including maintenance record information and maintenance cost information;

[0048] Calculate the maintenance cost of each charging and discharging cycle of the energy storage system based on the operating history.

[0049] Optionally, the step of adjusting and optimizing the charge and discharge strategy according to the operating constraints includes:

[0050] Calculate the expected profit of each charge and discharge cycle of the charge and discharge strategy;

[0051] The charging and discharging strategy is adjusted based on the difference between the expected revenue of each charging and discharging cycle and the allocated maintenance cost.

[0052] According to another aspect of the present application, an energy storage system is also provided, which includes a processor, a memory and an energy storage battery. The memory stores a computer program, and when the computer program is executed by the processor, the steps of any of the above-mentioned energy storage system operation control methods are implemented.

[0053] According to another aspect of the present application, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the steps of any of the above-mentioned methods for controlling the operation of an energy storage system.

[0054] The operation control method of the energy storage system of the present application automatically obtains the energy storage parameters of the energy storage system and formulates the charging and discharging strategy for each time period based on the electricity price information and the energy storage parameters of the energy storage system. The charging and discharging strategy can be adjusted in a timely manner according to the electricity price information to meet the arbitrage requirements. Furthermore, the charging and discharging strategy is adjusted and optimized according to the energy storage operation restriction conditions; the energy storage system is controlled to charge and discharge according to the adjusted and optimized charging and discharging strategy. The energy storage operation restriction conditions can fully consider other factors in addition to the electricity price factor, breaking through the limitations of the existing arbitrage algorithm.

[0055] Furthermore, the operation control method of the energy storage system of the present application can consider multiple factors such as the charge and discharge depth, charging temperature rise rate, and maintenance cost of the energy storage battery, and comprehensively set energy storage operation restriction conditions, thereby enhancing the availability, ease of use, scalability, and reliability of the energy storage system.

[0056] Furthermore, the operation control method of the energy storage system of the present application also improves the method of obtaining electricity price information, automatically collects messages released by power grid operators, and uses intelligent means to extract electricity price information from the messages, which is more efficient and faster.

[0057] Based on the detailed description of the specific embodiments of the present application in conjunction with the accompanying drawings below, those skilled in the art will become more aware of the above and other objects, advantages and features of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Hereinafter, some specific embodiments of the present invention will be described in detail in an exemplary and non-limiting manner with reference to the accompanying drawings. The same reference numerals in the accompanying drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the accompanying drawings:

[0059] FIG1 is a system architecture diagram of an energy storage system according to an embodiment of the present invention;

[0060] FIG2 is a schematic diagram of an operation control method of an energy storage system according to an embodiment of the present invention;

[0061] 3 is a flow chart of obtaining electricity price information in a method for controlling an energy storage system operation according to an embodiment of the present invention;

[0062] 4 is a flow chart of obtaining energy storage parameters in a method for controlling an energy storage system operation according to an embodiment of the present invention;

[0063] 5 is a flow chart of optimizing the charge and discharge strategy in the operation control method of the energy storage system according to one embodiment of the present invention;

[0064] FIG6 is a schematic diagram of a computer program product according to an embodiment of the present invention;

[0065] 7 is a schematic diagram of a computer-readable storage medium according to one embodiment of the present invention;

[0066] FIG8 is a schematic diagram of an energy storage system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0067] The reference to any prior art in the specification is not and should not be taken as an admission or any form of suggestion that the prior art forms part of the common general knowledge in the application area or any other jurisdiction, or that the prior art could reasonably be understood and regarded as relevant by a person skilled in the art.

[0068] Embodiments of the present invention provide an operation control method and a computing program product for an energy storage system, which are used to implement energy storage system operation based on peak-valley arbitrage and improve operational efficiency.

[0069] Figure 1 is a system architecture diagram of an energy storage system according to an embodiment of the present invention. The energy storage system includes an energy storage battery 11, a power conversion device 12, and other auxiliary devices. The energy storage battery 11, as the core component of the energy storage system, is the component for energy storage and the foundation of the energy storage system. A large energy storage system is composed of multiple battery clusters, each battery cluster is composed of multiple battery boxes, and each battery box is composed of multiple battery cells, with a capacity of up to hundreds of MWH. The battery type may be lithium iron phosphate battery, ternary lithium battery, lithium titanate battery, etc. In terms of battery composition and structure, the battery power source can be composed of battery cells, single cells, multi-cell battery packs, battery clusters, and battery stacks. The number of series and parallel connections and the structure of the energy storage battery 11 are determined based on the total energy storage capacity and charge and discharge rate of the battery.

[0070] The power conversion device 12 is used to convert electrical energy. When the energy storage battery is charging, it converts the AC power from the power grid 20 into the DC power required by the energy storage battery 11 to achieve electrical energy storage; when the energy storage battery is discharging, it converts the energy of the energy storage battery 11 into AC power to provide it to the power grid 20 or the load.

[0071] In addition, the energy storage system can also include components such as BMS (Battery Management System) and EMS (Energy Management System) to respectively realize battery balancing management, fault alarm, control, and energy control such as charging and discharging.

[0072] FIG2 is a schematic diagram of an operation control method of an energy storage system according to an embodiment of the present invention. The method may generally include:

[0073] Step S201: Obtain energy storage parameters for the energy storage system and electricity price information for the grid to which the energy storage system is connected. The electricity price information includes the time-of-use electricity price period and the electricity usage rate and generation rate for each time-of-use period. Energy storage parameters include energy storage capacity, charging efficiency, and discharge efficiency. Under a time-of-use electricity price system, electricity prices are typically divided according to peak and off-peak periods of electricity demand. For example, a day is divided into peak, off-peak, and off-peak periods, with higher electricity prices during peak periods and lower prices during off-peak periods. In the energy storage field, the grid may flexibly adjust the time-of-use periods and the rates for each period based on load demand. The electricity usage rate refers to the rate at which the energy storage system obtains electricity from the grid, while the generation rate refers to the rate at which the energy storage system supplies electricity to the grid. Because battery charging and discharging processes generate losses, during the charging period, the energy stored in the energy storage battery is less than the energy it receives from the grid. The ratio between the two is recorded as the charging efficiency. During the discharging period, the energy received from the grid is less than the energy released by the energy storage battery. The ratio between the two is recorded as the discharge efficiency. Energy storage capacity refers to the amount of electrical energy that can be stored in an energy storage system.

[0074] Step S202: Develop a charging and discharging strategy for the energy storage system for each time-sharing period based on electricity price information and energy storage parameters. This strategy includes, but is not limited to, the charge start time, charge end time, discharge start time, discharge end time, charging power, and discharge power. Using electricity price information and energy storage parameters, arbitrage can be achieved by configuring the charge and discharge strategy for each time-sharing period.

[0075] Step S203: Obtain the operating constraints of the energy storage system. These constraints can be configured based on the operating conditions of the energy storage system, taking into account other factors besides electricity prices, such as the depth of charge and discharge of the energy storage battery, the rate of temperature rise during charging, and maintenance costs, to enhance the availability, usability, scalability, and reliability of the energy storage system.

[0076] Step S204: Adjust and optimize the charge and discharge strategy based on the operating constraints. This adjustment and optimization not only improves the profitability of the energy storage system, but also ensures the continuous and stable operation of the energy storage system, reduces maintenance pressure, and prevents potential operational risks.

[0077] Step S205 : Controlling the energy storage system to charge and discharge according to the adjusted and optimized charge and discharge strategy.

[0078] FIG3 is a flow chart of a method for obtaining electricity price information in an operation control method of an energy storage system according to an embodiment of the present invention. The flow chart generally includes:

[0079] Step S301 collects messages published by the grid operator. Messages published by the grid operator may include, but are not limited to, price documents, dispatch instructions, contracts or agreements, and software platform announcements. For example, data scraping tools can be used to acquire data from multiple data sources. The acquired information is organized and converted into a unified text format to facilitate subsequent matching and information extraction. Existing methods for acquiring electricity prices are unable to process highly real-time messages such as dispatch instructions, which can easily result in losses.

[0080] Step S302: Use preset electricity price keywords to match messages to determine whether there is electricity price information applicable to the energy storage system. The electricity price keywords can be generated based on the word segmentation results of the relevant information, and manual keyword annotation can be used if necessary. The matched electricity price information needs to be checked for applicability to ensure that the corresponding electricity price is suitable for the energy storage system.

[0081] Step S303: If it is determined that electricity price information exists, the electricity price information is extracted from the message.

[0082] By using the above process, the electricity price information of the energy storage system can be automatically obtained, and the charging and discharging strategy can be adjusted in time according to the electricity price information to meet arbitrage requirements.

[0083] FIG4 is a flow chart of obtaining energy storage parameters in a method for controlling an energy storage system operation according to an embodiment of the present invention. The flow chart generally includes:

[0084] Step S401: Acquire historical operating data of the energy storage system. The historical operating data includes electricity metering data and stored energy data. The energy storage system can record the electricity metering data and stored energy data of each charging and discharging process as historical operating data for subsequent calculations.

[0085] Step S402: Expected values ​​for charging efficiency and discharging efficiency are obtained based on the electricity metering data and the energy storage energy data. For example, during the charging period, the ratio of the energy charged into the energy storage battery to the energy drawn from the grid is calculated to obtain the charging efficiency; during the discharging period, the ratio of the energy drawn from the grid to the energy discharged from the energy storage battery is calculated to obtain the charging efficiency.

[0086] Step S403, collect the environmental data of the energy storage system, and correct the expected value of the charging efficiency and the expected value of the discharging efficiency according to the environmental data to obtain the corrected values ​​of the charging efficiency and the discharging efficiency. The environmental data may include data such as temperature and humidity. This fully takes into account the differences in the charging and discharging curves of the energy storage battery under different temperature and humidity conditions. For example, in a low temperature or humid environment, the charging efficiency and the discharging efficiency may both decrease. Through correction, the charging efficiency and the discharging efficiency are guaranteed to be more accurate. The specific method for correcting the expected value of the charging efficiency and the expected value of the discharging efficiency can be to obtain the charging and discharging temperature curve of the energy storage battery, determine the correction ratio according to the temperature curve, and further correct the expected value of the charging efficiency and the expected value of the discharging efficiency according to the correction ratio.

[0087] Step S404: Develop a charge-discharge strategy using the corrected values ​​of the charge and discharge efficiencies. For example, the actual charging rate for the energy storage system can be calculated based on the discharge efficiency and the power generation rate. The difference between the actual charging rate and the actual payment rate for different time-sharing periods can be compared. Based on this difference, a charge-discharge strategy for each time-sharing period can be developed.

[0088] In this embodiment, the theoretical profit of arbitrage operation can be calculated by formula (1). Ew=Q×DOD×(η1×P1-η2×P2)…………………Formula (1)

[0089] Among them, Ew is the theoretical benefit of one charge and discharge cycle of the energy storage system; Q is the energy storage capacity of the energy storage system (KWh); DOD is the charge and discharge depth of the energy storage system (%); η1 is the discharge efficiency of the energy storage station (%); η2 is the charging efficiency (%); P1 is the power generation rate of the energy storage system (yuan / KWh); P2 is the electricity consumption rate of the energy storage system (yuan / KWh).

[0090] The above calculation formula can be used to configure the charge-discharge strategy with the highest theoretical benefit. However, this charge-discharge strategy only considers the electricity price factor and does not consider other operational factors of the energy storage system. This embodiment further modifies the charge-discharge strategy through operational constraints, achieving stable and reliable operation of the energy storage system.

[0091] For example, the process of setting up a peak-to-valley arbitrage strategy may include:

[0092] Determine peak and valley periods: By analyzing electricity market data, determine the periods of low and peak loads.

[0093] Setting charge and discharge thresholds: Based on factors such as the capacity, efficiency, and lifespan of the energy storage system, appropriate charge and discharge thresholds are set. These thresholds guide when the energy storage system should charge and discharge.

[0094] Develop a charging and discharging plan: Based on the price differences between peak and off-peak periods and user demand, a charging and discharging plan for the energy storage system is developed. The goal is to maximize the difference in peak and off-peak electricity prices to reduce overall energy costs.

[0095] Adjusting the charge and discharge strategy: Continuously adjust and optimize the charge and discharge strategy based on actual operating conditions and revenue data. This may include adjusting thresholds and updating the charge and discharge plan. The charge and discharge plan supports multiple charge and discharge cycles, such as a "6-charge, 6-discharge" cycle, which means that the battery in the energy storage system can complete six complete charge and discharge cycles. "Charge" here refers to the battery charging process, which converts electrical energy into chemical energy and stores it in the battery; "discharge" refers to the discharge process, which converts the stored chemical energy into electrical energy and supplies it to external devices.

[0096] Monitoring and safety assurance: Real-time monitoring of the energy storage system's operating status and charging and discharging conditions ensures safe operation. Regular checks on the system's performance and efficiency are also conducted to prevent potential operational risks.

[0097] Data Analysis and Optimization: Statistical analysis of the energy storage system's operating data and revenue is conducted to evaluate the effectiveness of the operating strategy. Based on this data, the operating strategy is continuously optimized to improve the energy storage system's economic performance and energy efficiency.

[0098] FIG5 is a flow chart of optimizing the charge and discharge strategy in the operation control method of the energy storage system according to one embodiment of the present invention. The flow chart generally includes:

[0099] Step S501, determining the charge and discharge depth of the battery of the energy storage system;

[0100] Step S502, judging whether the charge and discharge strategy needs to be adjusted according to the charge and discharge depth;

[0101] Step S503, estimating the temperature rise rate of the energy storage system;

[0102] Step S504, judging whether the charge and discharge strategy needs to be adjusted based on the temperature rise rate;

[0103] Step S505, calculating the maintenance cost allocated to each charge and discharge cycle of the energy storage system;

[0104] Step S506: determining whether the charge and discharge strategy needs to be adjusted based on the allocated maintenance cost;

[0105] Step S507: Optimize the charge and discharge strategy.

[0106] The above process considers multiple factors, such as the battery's charge / discharge depth, charging temperature rise rate, and maintenance costs, to comprehensively set energy storage operation constraints, thereby enhancing the availability, usability, scalability, and reliability of the energy storage system. In some embodiments, those skilled in the art may select one or more of these factors to optimize the charge / discharge strategy, and the order in which these factors are adjusted may also be modified accordingly.

[0107] Regarding the operating constraints on the charge and discharge depth of the energy storage battery, the steps of obtaining the operating constraints of the energy storage system may include: obtaining the battery type and battery operating data of the energy storage system; inputting the battery type and battery operating data of the energy storage system into a pre-trained battery charge and discharge model, and using the battery charge and discharge model to determine the charge and discharge depth of the battery of the energy storage system to ensure the cycle life of the battery.

[0108] The process of establishing a battery charge-discharge model can include: collecting charge-discharge test data from similar batteries used in the energy storage system, including but not limited to: battery SOC (State of Charge), DOD (Depth of Discharge), temperature, current, voltage, battery degradation (such as capacity decay and internal resistance change), and preprocessing this data through cleaning, missing value processing, outlier detection, and standardization; selecting or constructing meaningful feature data as samples; and selecting an appropriate machine learning algorithm, such as linear regression, decision tree, random forest, support vector machine, neural network, etc. The model is trained using the collected sample data set, with optimal charge and discharge as the target variable, to identify the charge and discharge depth that maximizes battery life.

[0109] Accordingly, the steps of adjusting and optimizing the charge and discharge strategy according to the charge and discharge depth include: setting the upper limit of the energy storage capacity during the charging process of the energy storage system and the lower limit of the energy storage capacity during the discharging process of the energy storage system according to the charge and discharge depth determined by the battery charge and discharge model; and adjusting the charge and discharge strategy according to the upper limit of the energy storage capacity and the lower limit of the energy storage capacity.

[0110] Regarding the operating constraints on the temperature rise rate of the energy storage system, the step of obtaining the operating constraints may include: obtaining the ambient temperature and battery temperature of the energy storage system; and calculating the temperature rise rate of the energy storage system during charging based on the ambient temperature and battery temperature. Energy storage batteries generate heat during the charging and discharging process, particularly during charging. The temperature rise rate of the energy storage system during charging can be calculated based on the ambient temperature and battery temperature of the energy storage system.

[0111] Accordingly, the steps for adjusting and optimizing the charge-discharge strategy based on the temperature rise rate include: obtaining an ambient temperature forecast for the charging period within the charge-discharge strategy; determining whether the energy storage system temperature exceeds the limit during the charging period based on the temperature rise rate and the ambient temperature forecast; and if the temperature exceeds the limit, changing the charging period within the charge-discharge strategy and / or limiting the charging power within the charge-discharge strategy. The ambient temperature forecast can be obtained based on the time-sharing period of electricity prices. If the temperature may exceed the limit, charging can be performed during a lower off-peak period, or the charging power within the charge-discharge strategy can be reduced.

[0112] Regarding the operational constraints on the maintenance costs of the energy storage system, the steps of obtaining the operational constraints may include: obtaining the energy storage system's operational history, which includes maintenance records and maintenance cost information; and calculating the amortized maintenance cost per charge and discharge cycle of the energy storage system based on the operational history. Relevant cost factors may include, but are not limited to, initial investment cost, operating and maintenance costs, and battery replacement costs. An effective charge and discharge strategy can reduce these costs and improve overall economic efficiency.

[0113] Accordingly, the steps for optimizing the charge-discharge strategy based on maintenance costs include: calculating the expected revenue per charge-discharge cycle; and adjusting the strategy based on the difference between the expected revenue per charge-discharge cycle and the amortized maintenance costs. For example, if the expected revenue per charge-discharge cycle is less than the amortized maintenance costs, the number of charge-discharge cycles can be appropriately reduced to avoid long-term losses.

[0114] By monitoring the operation process, the method of this embodiment can perform statistical analysis on the operating data and revenue of the energy storage system, evaluate the effectiveness of the operation strategy, and continuously optimize the operation strategy based on this data to improve the economic performance and energy efficiency of the energy storage system.

[0115] The effectiveness evaluation indicators of the operation strategy can include the following:

[0116] Battery cycle life: Different charge and discharge strategies affect the battery cycle life. Deep discharge accelerates battery aging, while shallow discharge can extend the battery life.

[0117] Cost of use: This includes initial investment, operating and maintenance costs, and battery replacement costs. An effective charging and discharging strategy can reduce these costs and improve overall economic efficiency.

[0118] Response speed: For applications that require fast response (such as grid frequency regulation), the charging and discharging strategy needs to be able to quickly adjust the output to meet demand.

[0119] Battery loss also has a corresponding impact on effectiveness, including the following:

[0120] Battery capacity degradation: As a battery is used, its ability to store energy gradually decreases, which reduces the effective energy output of the system.

[0121] Increased internal resistance: Battery loss will cause the internal resistance to increase, which will reduce the charging and discharging efficiency and increase energy loss.

[0122] This embodiment also provides a computer program product 110, a computer-readable storage medium 120, and an energy storage system 30. Figure 6 is a schematic diagram of a computer program product 110 according to an embodiment of the present invention, Figure 7 is a schematic diagram of a computer-readable storage medium 120 according to an embodiment of the present invention, and Figure 8 is a schematic diagram of an energy storage system 30 according to an embodiment of the present invention. The computer program product 110 includes a computer program 111, which, when executed by a processor 310, implements the steps of any of the aforementioned methods for controlling the operation of an energy storage system. The computer-readable storage medium 120 stores the computer program 111, which, when executed by the processor 310, implements the steps of any of the aforementioned methods for controlling the operation of an energy storage system. The energy storage system 30 may include a memory 320, a processor 310, and a computer program 111 stored in the memory 320 and executed by the processor 310.

[0123] The computer program 111 for performing the operations of the present invention may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, configuration data for an integrated circuit, or source code or object code written in any combination of one or more programming languages ​​and procedural programming languages. The computer program 111 may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the latter case, the remote computer can be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, to perform various aspects of the present invention, electronic circuits including, for example, programmable logic circuits, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs) can execute computer-readable program instructions by utilizing state information of the computer-readable program instructions to personalize the electronic circuits.

[0124] In the description of this embodiment, the computer program product 110 is a related product including the computer program 111 .

[0125] For the purposes of the present description, computer-readable storage medium 120 is a tangible device capable of retaining and storing computer program 111, and may be any device that can contain, store, communicate, propagate, or transmit program 111 for use with or in conjunction with an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable storage medium 120 include the following: a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, and any suitable combination of the foregoing.

[0126] The control device of the energy storage system 30 can be, for example, a computer device or a redeveloped hardware combination. The control device of the energy storage system 30 can be described in the general context of computer-executable instructions (such as program modules) executed by a computer system. Generally, program modules can include routines, programs, object programs, components, logic, data structures, etc. that perform specific tasks or implement specific abstract data types.

[0127] Energy storage system 30 may include a processor 310 adapted to execute stored instructions, and a memory 320 that provides temporary storage for the instructions during operation. Processor 310 may be a single-core processor, a multi-core processor, a computing cluster, or any number of other configurations. Memory 320 may include random access memory (RAM), read-only memory, flash memory, or any other suitable storage system.

[0128] The control device of the energy storage system 30 may also include a network adapter / interface and an input / output (I / O) interface. The I / O interface allows for input and output of data with external devices that can be connected to the computer device. The network adapter / interface can provide communication between the computer device and a network, typically shown as a communication network.

[0129] At this point, those skilled in the art will recognize that, although a number of exemplary embodiments of the present invention have been shown and described in detail herein, many other variations or modifications consistent with the principles of the present invention may be directly determined or derived from the disclosure of the present invention without departing from the spirit and scope of the present invention. Therefore, the scope of the present invention should be understood and deemed to cover all such other variations or modifications.

Claims

1. A method for controlling the operation of an energy storage system, comprising: Obtaining energy storage parameters of the energy storage system and electricity price information of the power grid to which the energy storage system is connected, the electricity price information including the time-sharing period of the electricity price and the electricity rate and power generation rate for each time-sharing period, the energy storage parameters including energy storage capacity, charging efficiency, and discharging efficiency; Formulate a charging and discharging strategy for the energy storage system in each of the time-sharing periods according to the electricity price information and the energy storage parameters; Obtaining operating constraints of the energy storage system; Adjusting and optimizing the charge and discharge strategy according to the operating constraints; The energy storage system is controlled to charge and discharge according to the adjusted and optimized charge and discharge strategy.

2. The operation control method of the energy storage system according to claim 1, wherein: The step of obtaining electricity price information of the power grid to which the energy storage system is connected includes: Collect information released by power grid operators; Using a preset electricity price keyword to match the message to determine whether there is electricity price information applicable to the energy storage system; If so, the electricity price information is extracted from the message.

3. The operation control method of the energy storage system according to claim 1, wherein: The step of obtaining the energy storage parameters of the energy storage system includes: Acquiring historical operating data of the energy storage system, the historical operating data including: electricity metering data and energy storage energy data; Obtaining an expected value of the charging efficiency and an expected value of the discharging efficiency according to the electricity metering data and the energy storage energy data; Environmental data of the energy storage system is collected, and the expected value of the charging efficiency and the expected value of the discharging efficiency are corrected according to the environmental data to obtain corrected values ​​of the charging efficiency and the discharging efficiency, so as to formulate the charging and discharging strategy using the corrected values ​​of the charging efficiency and the discharging efficiency.

4. The operation control method of the energy storage system according to claim 1, wherein: The step of formulating a charging and discharging strategy for the energy storage system in each time-sharing period according to the electricity price information and the energy storage parameters includes: Calculating an actual charging rate for the energy storage system based on the discharge efficiency and the power generation rate; Comparing the difference between the actual charging rate and the actual payment rate between different time-sharing periods; A charging and discharging strategy for each time-sharing period is formulated according to the difference.

5. The operation control method of the energy storage system according to claim 1, wherein: The operating constraints include the depth of charge and discharge of the energy storage battery; The step of obtaining the operating restriction conditions of the energy storage system includes: Obtaining battery type and battery operating data of the energy storage system; The battery type and battery operation data of the energy storage system are input into a pre-trained battery charge and discharge model, and the battery charge and discharge model is used to determine the charge and discharge depth of the battery of the energy storage system to ensure the cycle life of the battery.

6. The operation control method of the energy storage system according to claim 5, wherein: The step of adjusting and optimizing the charge and discharge strategy according to the operation restriction condition includes: According to the charge and discharge depth determined by the battery charge and discharge model, an upper limit of energy storage capacity during the charging process of the energy storage system and a lower limit of energy storage capacity during the discharging process of the energy storage system are respectively set; The charging and discharging strategy is adjusted according to the upper limit of the energy storage capacity and the lower limit of the energy storage capacity.

7. The operation control method of the energy storage system according to claim 5, wherein: The operation restriction condition also includes the temperature rise rate of the energy storage system; The step of obtaining the operating restriction conditions of the energy storage system includes: Obtaining the ambient temperature and battery temperature of the energy storage system; The temperature rise rate of the energy storage system during charging is calculated according to the ambient temperature and the battery temperature.

8. The operation control method of the energy storage system according to claim 7, wherein: The step of adjusting and optimizing the charge and discharge strategy according to the operation restriction condition includes: Obtaining an ambient temperature forecast during a charging period in the charge-discharge strategy; determining whether the energy storage system has exceeded a temperature limit during the charging period based on the temperature rise rate and the ambient temperature forecast; If the temperature exceeds the limit, the charging period in the charging and discharging strategy is changed and / or the charging power in the charging and discharging strategy is limited.

9. The operation control method of the energy storage system according to claim 5, wherein: The operation constraint condition also includes the maintenance cost of the energy storage system; The step of obtaining the operating restriction conditions of the energy storage system includes: Acquire an operation history record of the energy storage system, the operation history record including maintenance record information and maintenance cost information; The maintenance cost allocated to each charge-discharge cycle of the energy storage system is calculated based on the operation history records.

10. The operation control method of the energy storage system according to claim 9, wherein: The step of adjusting and optimizing the charge and discharge strategy according to the operation restriction condition includes: Calculating the expected benefit of each charge-discharge cycle of the charge-discharge strategy; The charge-discharge strategy is adjusted according to the difference between the expected revenue of each charge-discharge cycle and the amortized maintenance cost.

11. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the steps of the operation control method of the energy storage system according to any one of claims 1 to 10.

12. An energy storage system comprising a processor, a memory, and an energy storage battery, wherein the memory stores a computer program, and when the computer program is executed by the processor, the steps of the energy storage system operation control method according to any one of claims 1 to 10 are implemented.

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