Operation control method of energy storage system and related products

Abstract

The present invention provides an operation control method and related products of an energy storage system. The method includes: obtaining energy storage parameters of the energy storage system and electricity price information of the power grid of the energy storage system, the electricity price information includes the time-sharing period of the electricity price and the electricity rate and power generation rate of each time-sharing period, and the energy storage parameters include energy storage capacity, charging efficiency, and discharge efficiency; formulating the charging and discharging strategy of the energy storage system in each time-sharing period according to the electricity price information and energy storage parameters; obtaining the operation restriction conditions of the energy storage system; adjusting and optimizing the charging and discharging strategy according to the operation restriction conditions; controlling the energy storage system to charge and discharge according to the adjusted and optimized charging and discharging strategy. In the scheme of the present invention, the charging and discharging strategy can be adjusted in time according to the electricity price information to meet the arbitrage requirements, and the charging and discharging strategy can be adjusted and optimized according to the energy storage operation restriction conditions; other factors besides the electricity price factor can be fully considered, breaking through the limitations of the existing arbitrage algorithm.

Description

Technical Field

[0001] The present invention relates to energy storage technology, and in particular to an operation control method of an energy storage system and related products. Background Art

[0002] Energy storage peak-valley arbitrage is a business model that uses electricity price fluctuations to make profits, and is mainly implemented in the electricity market.

[0003] In the power grid, there are obvious peak and valley periods in electricity consumption, namely, peak electricity consumption period (peak time) and low electricity consumption period (valley time). In order to reduce load fluctuations, power grid companies generally adopt time-of-use electricity prices, that is, setting peak electricity prices, normal electricity prices, and valley electricity prices. Electricity prices are usually higher during peak hours and lower during valley hours. For large-capacity energy storage power stations, the power grid dispatching department may also issue special dispatching refrigeration to temporarily adjust electricity prices. Therefore, in order to gain better economic benefits, the energy storage operation department needs to set up targeted automatic charging and discharging strategies.

[0004] The operation of energy storage peak-valley arbitrage is as follows: during the period of low electricity prices, energy storage equipment is used to store low-priced electricity; during the peak electricity price period such as daytime, the electricity stored in the energy storage equipment is released to the power grid and sold at a high price. Through this arbitrage method, energy storage investors can obtain the benefits brought by the price difference between purchasing and selling electricity, and at the same time, it also plays a role in smoothing the fluctuation of power grid load and improving the operating efficiency of the power system.

[0005] 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 valley electricity prices of the local power grid, and relevant policies. With the large-scale application of renewable energy and the deepening of electricity market reform, the commercial potential of energy storage peak-valley arbitrage is becoming increasingly apparent.

[0006] 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

[0007] One object of the present invention is to increase the arbitrage space of energy storage systems.

[0008] A further object of the present invention is to timely adjust the charging and discharging strategy according to the electricity price information to improve the response speed of the energy storage system.

[0009] Another object of the present invention is to optimize the charging and discharging strategy to ensure the operational reliability of the energy storage system.

[0010] In particular, the present invention provides an operation control method of an energy storage system. The method comprises:

[0011] 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 includes the time period of the electricity price and the electricity rate and power generation rate of each time period. The energy storage parameters include energy storage capacity, charging efficiency, and discharging efficiency.

[0012] Formulate charging and discharging strategies for energy storage systems in different time periods based on electricity price information and energy storage parameters;

[0013] Obtaining the operating constraints of the energy storage system;

[0014] Adjust and optimize the charging and discharging strategies according to operating constraints;

[0015] The energy storage system is controlled to charge and discharge according to the adjusted and optimized charging and discharging strategy.

[0016] Optionally, the step of obtaining electricity price information of a power grid to which the energy storage system is connected includes:

[0017] Collect messages released by power grid operators;

[0018] Use a preset electricity price keyword to match in the message to determine whether there is electricity price information applicable to the energy storage system;

[0019] If available, extract the electricity price information from the message.

[0020] Optionally, the step of obtaining energy storage parameters of the energy storage system includes:

[0021] Obtain the historical operation data of the energy storage system, including: electricity metering data and energy storage energy data;

[0022] Obtaining expected values ​​of charging efficiency and discharging efficiency based on electricity metering data and energy storage energy data;

[0023] The 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 the 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.

[0024] Optionally, the step of formulating a charging and discharging strategy of the energy storage system in each time period according to the electricity price information and the energy storage parameters includes:

[0025] Calculate the actual charging rate of the energy storage system based on the discharge efficiency and power generation rate;

[0026] Compare the difference between the actual charging rate and the actual payment rate between different time-sharing periods;

[0027] Formulate charging and discharging strategies for each time period based on the difference.

[0028] Optionally, the operating constraints include the depth of charge and discharge of the energy storage battery;

[0029] The steps to obtain the operating constraints of the energy storage system include:

[0030] Obtain the battery type and battery operation data of the energy storage system;

[0031] 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.

[0032] Optionally, the step of adjusting and optimizing the charge and discharge strategy according to the operation restriction condition includes:

[0033] 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 respectively set;

[0034] Adjust the charging and discharging strategy according to the upper and lower limits of energy storage capacity.

[0035] Optionally, the operating constraint condition also includes a temperature rise rate of the energy storage system;

[0036] The steps to obtain the operating constraints of the energy storage system include:

[0037] Obtain the ambient temperature and battery temperature of the energy storage system;

[0038] The temperature rise rate of the energy storage system during charging is calculated based on the ambient temperature and battery temperature.

[0039] Optionally, the step of adjusting and optimizing the charge and discharge strategy according to the operation restriction condition includes:

[0040] Obtaining the ambient temperature forecast during the charging period in the charging and discharging strategy;

[0041] Determine whether the temperature of the energy storage system exceeds the limit during the charging period based on the temperature rise rate and ambient temperature forecast;

[0042] If the temperature exceeds the limit, the charging time period in the charging and discharging strategy is changed and / or the charging power in the charging and discharging strategy is limited.

[0043] Optionally, the operating constraints also include maintenance costs of the energy storage system;

[0044] The steps to obtain the operating constraints of the energy storage system include:

[0045] Obtaining the operation history of the energy storage system, which includes maintenance record information and maintenance cost information;

[0046] The maintenance cost of each charging and discharging cycle of the energy storage system is calculated based on the operating history.

[0047] Optionally, the step of adjusting and optimizing the charge and discharge strategy according to the operation restriction condition includes:

[0048] Calculate the expected profit of each charge and discharge cycle of the charge and discharge strategy;

[0049] 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.

[0050] According to another aspect of the present invention, there is also provided an energy storage system, 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.

[0051] According to another aspect of the present invention, a computer program product is provided, which includes a computer program. When the computer program is executed by a processor, the steps of any of the above-mentioned energy storage system operation control methods are implemented.

[0052] The operation control method of the energy storage system of the present invention automatically obtains the energy storage parameters of the energy storage system, and formulates the charging and discharging strategies for each time period according to the electricity price information and the energy storage parameters of the energy storage system. The charging and discharging strategies can be adjusted in time according to the electricity price information to meet the arbitrage requirements. Furthermore, the charging and discharging strategies are 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 strategies, and the energy storage operation restriction conditions can fully consider other factors besides the electricity price factor, breaking through the limitations of the existing arbitrage algorithms.

[0053] Furthermore, the operation control method of the energy storage system of the present invention can consider multiple factors such as the charge and discharge depth, charging temperature rise rate, maintenance cost, etc. of the energy storage battery, and comprehensively set energy storage operation restriction conditions, thereby enhancing the availability, usability, scalability, and reliability of the energy storage system.

[0054] Furthermore, the operation control method of the energy storage system of the present invention also improves the way 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.

[0055] Based on the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings, those skilled in the art will become more aware of the above and other objects, advantages and features of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] 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:

[0057] Figure 1 is a system architecture diagram of an energy storage system according to an embodiment of the present invention;

[0058] Figure 2 is a schematic diagram of an operation control method of an energy storage system according to an embodiment of the present invention;

[0059] Figure 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;

[0060] Figure 4 is a flow chart of obtaining energy storage parameters in an operation control method of an energy storage system according to an embodiment of the present invention;

[0061] Figure 5 is a flow chart of optimizing the charging and discharging strategy in the operation control method of the energy storage system according to one embodiment of the present invention;

[0062] Figure 6 is a schematic diagram of a computer program product according to an embodiment of the present invention;

[0063] Figure 7 is a schematic diagram of a computer-readable storage medium according to an embodiment of the present invention;

[0064] Figure 8 is a schematic diagram of an energy storage system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0065] The embodiments of the present invention provide an operation control method of an energy storage system and a computing program product for realizing the operation of the energy storage system based on peak-valley arbitrage and improving the operation efficiency.

[0066] Figure 11 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, wherein the energy storage battery 11 is the core component of the energy storage system, is a component for energy storage, and is the foundation of the energy storage system. A large energy storage system is composed of multiple cluster battery packs, each battery cluster is composed of multiple battery boxes, and each battery plug box is composed of multiple battery cells, and the capacity can reach hundreds of MWH. The type of battery may be lithium iron phosphate battery, ternary lithium battery, lithium titanate battery, etc. In terms of the composition structure of the battery, the battery power source can be composed of battery cells, single cells, multi-cell battery packs, battery clusters, battery stacks, and the number of series and parallel connections and the structure of the energy storage battery 11 are determined according to the total energy storage capacity of the battery and the charge and discharge rate.

[0067] The power conversion device 12 is used to convert electric energy. When the energy storage battery is charged, the AC power from the power grid 20 is converted into the DC power required by the energy storage battery 11 to achieve electric energy storage; when the energy storage battery is discharged, the energy of the energy storage battery 11 is converted into AC power to be provided to the power grid 20 or the load.

[0068] In addition, the energy storage system can also include components such as BMS (Battery Management System) and EMS (Energy Management System) to realize battery balancing management, fault alarm, control, and energy control such as charging and discharging.

[0069] Figure 2 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:

[0070] Step S201, obtain 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 rate and power generation rate of each time-sharing period. The energy storage parameters include energy storage capacity, charging efficiency, and discharge efficiency. Under the time-sharing electricity price system, the electricity price is usually divided according to the peak and low peak periods of electricity demand. For example, a day is divided into peak period, off-peak period and valley period. The electricity price is higher during the peak period and lower during the valley period. In the field of energy storage, the power grid may flexibly adjust the time-sharing period and the rate of each period according to the load demand, where the electricity rate refers to the rate at which the energy storage system obtains electricity from the power grid, and the power generation rate is the rate at which the energy storage system supplies electricity to the power grid. Since the battery charging and discharging process will cause losses, during the charging period, the energy charged into the energy storage battery is less than the energy obtained from the power grid, and the ratio of the two is recorded as the charging efficiency; during the discharge period, the energy obtained from the power grid is less than the energy released by the energy storage battery, and the ratio of 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.

[0071] Step S202, formulate the charging and discharging strategy of the energy storage system in each time-sharing period according to the electricity price information and energy storage parameters; the charging and discharging strategy includes but is not limited to the charging start time, charging end time, discharging start time, discharging end time, charging power, and discharging power. Through the electricity price information and energy storage parameters, arbitrage can be achieved by configuring the charging and discharging strategy of each time-sharing period.

[0072] Step S202, obtaining the operating constraints of the energy storage system; the operating constraints can be configured according to the operating conditions of the energy storage system, taking into full account other conditions besides the electricity price factor, such as the charge and discharge depth of the energy storage battery, the charging temperature rise rate, the maintenance cost and other factors, to enhance the availability, usability, scalability and reliability of the energy storage system.

[0073] Step S203, adjusting and optimizing the charging and discharging strategy according to the operation restriction conditions; through the adjustment and optimization, on the one hand, the profitability of the energy storage system is improved, and on the other hand, the continuous and stable operation of the energy storage system is ensured, the maintenance pressure is reduced, and potential operation risks are prevented.

[0074] Step S204, controlling the energy storage system to charge and discharge according to the adjusted and optimized charging and discharging strategy.

[0075] Figure 3 1 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. The flow chart may generally include:

[0076] Step S301, collect messages released by the power grid operating organization; the messages released by the power grid operating organization may include but are not limited to price documents, dispatch instructions, contracts or agreements, software platform announcements, etc. released by the power grid organization. For example, data crawling tools can be used to obtain data from multiple data sources, and the obtained information can be sorted and converted into a unified text format to facilitate subsequent matching and information extraction. The existing electricity price acquisition method cannot process high-real-time messages such as dispatch instructions, which can easily cause losses.

[0077] Step S302, use the preset electricity price keywords to match in the message 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 keywords can be manually marked when necessary. The matched electricity price information needs to be tested for applicability to ensure that the corresponding electricity price is suitable for the energy storage system.

[0078] Step S303: if it is determined that electricity price information exists, extract the electricity price information from the message.

[0079] 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 the arbitrage requirements.

[0080] Figure 4 1 is a flow chart of obtaining energy storage parameters in an operation control method of an energy storage system according to an embodiment of the present invention. The flow chart may generally include:

[0081] Step S401, obtaining historical operation data of the energy storage system, the historical operation data including: electricity metering data and energy storage energy data. The energy storage system can record the electricity metering data and energy storage energy data of each charging and discharging process as historical operation data for subsequent calculation.

[0082] Step S402, obtain the expected value of charging efficiency and the expected value of discharging efficiency according to the electricity metering data and the energy storage energy data. For example, during the charging period, the ratio of the electric energy charged into the energy storage battery to the electric energy obtained from the power grid is calculated to obtain the charging efficiency; during the discharging period, the ratio of the electric energy obtained from the power grid to the electric energy released by the energy storage battery is calculated to obtain the charging efficiency.

[0083] 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.

[0084] Step S404, formulate a charge and discharge strategy using the correction values ​​of the charge efficiency and the discharge efficiency. For example, the actual charging rate of 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 between different time-sharing periods can be compared; and the charge and discharge strategy for each time-sharing period can be formulated based on the difference.

[0085] In this embodiment, the theoretical profit of arbitrage operation can be calculated by formula (1).

[0086] Ew=Q×DOD×(η1×P1-η2×P2)………………Formula (1)

[0087] 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 power 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).

[0088] The above calculation formula can be used to configure the charge and discharge strategy with the highest theoretical benefit, but this charge and discharge strategy only considers the rate electricity price factor and does not consider other operating factors of the energy storage system. This embodiment further modifies the charge and discharge strategy through operating restriction conditions to achieve stable and reliable operation of the energy storage system.

[0089] For example, the process of setting up a peak-to-valley arbitrage strategy may include:

[0090] Determine peak and valley periods: By analyzing the data from the electricity market, determine the periods of low and peak loads.

[0091] Set charge and discharge thresholds: Set appropriate charge and discharge thresholds based on factors such as the capacity, efficiency, and life of the energy storage system. These thresholds are used to guide when the energy storage system should be charged and discharged.

[0092] Formulate a charging and discharging plan: Develop a charging and discharging plan for the energy storage system based on the price difference between peak and valley periods and user needs. The goal is to maximize the difference in peak and valley prices to reduce overall energy costs.

[0093] Adjust 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 charge and discharge plans; the charge and discharge plan supports up to multiple charges and discharges, such as completing "6 charges and 6 discharges", which means that in the energy storage system, the battery can complete six complete charge and discharge cycles. Here, "charge" refers to the process of battery charging, that is, the conversion of electrical energy into chemical energy and storage in the battery; and "discharge" refers to the discharge process, that is, the battery converts the stored chemical energy into electrical energy for external devices to use.

[0094] Monitoring and safety assurance: Real-time monitoring of the operating status and charging and discharging of the energy storage system to ensure the safe operation of the system. At the same time, regular inspections of the performance and efficiency of the energy storage system are carried out to prevent potential operating risks.

[0095] Data analysis and optimization: Statistical analysis of the operating data and revenue of the energy storage system is conducted to evaluate the effectiveness of the operating strategy. Based on these data, the operating strategy is continuously optimized to improve the economy and energy efficiency of the energy storage system.

[0096] Figure 51 is a flow chart of optimizing the charging and discharging strategy in the operation control method of the energy storage system according to an embodiment of the present invention. The flow chart generally includes:

[0097] Step S501, determining the charge and discharge depth of the battery of the energy storage system;

[0098] Step S502, judging whether the charge and discharge strategy needs to be adjusted according to the charge and discharge depth;

[0099] Step S503, estimating the temperature rise rate of the energy storage system;

[0100] Step S504, judging whether the charge and discharge strategy needs to be adjusted according to the temperature rise rate;

[0101] Step S505, calculating the maintenance cost allocated to each charging and discharging cycle of the energy storage system;

[0102] Step S506, judging whether the charging and discharging strategy needs to be adjusted according to the allocated maintenance cost;

[0103] Step S507, optimizing the charging and discharging strategy.

[0104] The above process can take into account 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 to enhance the availability, ease of use, scalability, and reliability of the energy storage system. In some embodiments, those skilled in the art can select one or more of the charge and discharge depth, charging temperature rise rate, and maintenance cost to optimize the charge and discharge strategy, and the adjustment order of different factors can also be changed accordingly.

[0105] Regarding the operating restrictions on the charge and discharge depth of the energy storage battery, the steps of obtaining the operating restrictions of the energy storage system may include: obtaining the battery type and battery operation data of the energy storage system; inputting the battery type and battery operation 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.

[0106] The process of establishing a battery charge and discharge model may include: collecting charge and discharge experimental data of similar batteries used in this energy storage system, including but not limited to: battery SOC (State of Charge), DOD (Depth of Discharge), temperature, current, voltage, battery attenuation state (such as capacity attenuation, internal resistance change) and other data, cleaning these data, processing missing values, detecting outliers and standardizing these data; selecting or constructing meaningful feature data as samples. Select appropriate machine learning algorithms, such as linear regression, decision tree, random forest, support vector machine, neural network, etc. Use the collected sample data set to train the model, take the optimal charge and discharge as the target variable, and find the charge and discharge depth that can maximize the battery life.

[0107] Correspondingly, the step of adjusting and optimizing the charge and discharge strategy according to the charge and discharge depth includes: setting the upper limit of energy storage capacity during the charging process of the energy storage system and the lower limit of 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 energy storage capacity and the lower limit of energy storage capacity.

[0108] For the operating limit conditions of the temperature rise rate of the energy storage system, the step of obtaining the operating limit conditions of the energy storage system 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 the charging process according to the ambient temperature and the battery temperature. The energy storage battery will generate heat during the charging and discharging process, especially during the charging process. The temperature rise rate of the energy storage system during the charging process can be calculated based on the ambient temperature and battery temperature of the energy storage system.

[0109] Accordingly, the step of adjusting and optimizing the charging and discharging strategy according to the temperature rise rate includes: obtaining the ambient temperature forecast during the charging period in the charging and discharging strategy; judging whether the temperature of the energy storage system exceeds the limit during the charging period according to the temperature rise rate and the ambient temperature forecast; if the temperature exceeds the limit, changing the charging period in the charging and discharging strategy and / or limiting the charging power in the charging and discharging strategy. The ambient temperature forecast can be obtained according to the time period of the electricity price. In the case that the temperature may exceed the limit, the low temperature period with lower temperature can be selected for charging; or the charging power in the charging and discharging strategy can be reduced.

[0110] For the operation restriction conditions of the maintenance cost of the energy storage system, the step of obtaining the operation restriction conditions of the energy storage system may include: obtaining the operation history record of the energy storage system, the operation history record includes maintenance record information and maintenance cost information; calculating the maintenance cost allocated to each charge and discharge cycle of the energy storage system according to the operation history record. Relevant cost factors may include but are not limited to: initial investment cost, operation and maintenance cost, and battery replacement cost. An effective charge and discharge strategy can reduce these costs and improve overall economic efficiency.

[0111] Accordingly, the steps of adjusting and optimizing the charging and discharging strategy according to the maintenance cost include: calculating the expected benefit of each charging and discharging cycle of the charging and discharging strategy; adjusting the charging and discharging strategy according to the difference between the expected benefit of each charging and discharging cycle and the allocated maintenance cost. For example, if the expected benefit of the charging and discharging cycle is less than the allocated maintenance cost, the number of charging and discharging cycles can be appropriately reduced to avoid long-term losses.

[0112] By monitoring the operation process, the method of this embodiment can perform statistical analysis on the operation data and revenue of the energy storage system, evaluate the effectiveness of the operation strategy, and continuously optimize the operation strategy based on these data to improve the economy and energy efficiency of the energy storage system.

[0113] The effectiveness evaluation indicators of the operation strategy can include the following points:

[0114] Battery cycle life: Different charging and discharging strategies will affect the battery cycle life. Deep discharge will accelerate battery aging, while shallow discharge can extend the battery life.

[0115] Cost of use: includes initial investment cost, operation and maintenance cost, and battery replacement cost. An effective charging and discharging strategy can reduce these costs and improve overall economic efficiency.

[0116] 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.

[0117] Battery loss also has a corresponding impact on effectiveness, including the following:

[0118] Battery capacity degradation: As batteries are used, their ability to store energy gradually decreases, which reduces the effective energy output of the system.

[0119] Increased internal resistance: Battery loss will cause an increase in internal resistance, which will reduce charging and discharging efficiency and increase energy loss.

[0120] This embodiment also provides a computer program product 110 , a computer readable storage medium 120 , and an energy storage system 30 . Figure 6is 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, 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 implements the steps of any of the above-mentioned energy storage system operation control methods when the computer program 111 is executed by the processor 310. The computer-readable storage medium 120 stores the above-mentioned computer program 111 thereon, and the computer program 111 implements the steps of any of the above-mentioned energy storage system operation control methods when the computer program 111 is executed by the processor 310. The energy storage system 30 may include a memory 320, a processor 310, and a computer program 111 stored in the memory 320 and running on the processor 310.

[0121] The computer program 111 for performing the operation of the present invention may be an assembly instruction, an instruction set architecture (ISA) instruction, a machine instruction, a machine-dependent instruction, a microcode, a firmware instruction, a state setting data, a configuration data of an integrated circuit, or a source code or an object code written in any combination of one or more programming languages ​​and a procedural programming language. The computer program 111 may be executed entirely on the user's computer, partially on the user's computer, as a separate 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 may 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 may be connected to an external computer (e.g., via the Internet using an Internet Service Provider). In some embodiments, to perform aspects of the present invention, electronic circuits including, for example, programmable logic circuits, Field-Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs) may execute computer-readable program instructions by utilizing state information of the computer-readable program instructions to personalize the electronic circuits.

[0122] In the description of this embodiment, the computer program product 110 is a related product including the computer program 111 .

[0123] For the purposes of the description of this embodiment, the computer-readable storage medium 120 is a tangible device capable of retaining and storing the computer program 111, which may be any device that can contain, store, communicate, propagate, or transmit the program 111 for use with or in conjunction with an instruction execution system, device, or apparatus. More specific examples (a non-exhaustive list) of the computer-readable storage medium 120 include the following: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk 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.

[0124] The control device of the energy storage system 30 may be, for example, a computer device or a hardware combination after secondary development. The control device of the energy storage system 30 may be described in the general context of computer system executable instructions (such as program modules) executed by a computer system. Generally, a program module may include routines, programs, target programs, components, logic, data structures, etc. that perform specific tasks or implement specific abstract data types.

[0125] The energy storage system 30 may include a processor 310 adapted to execute stored instructions, and a memory 320 providing temporary storage space for the operation of the instructions during operation. The processor 310 may be a single-core processor, a multi-core processor, a computing cluster, or any number of other configurations. The memory 320 may include a random access memory (RAM), a read-only memory, a flash memory, or any other suitable storage system.

[0126] 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 data to be input and output 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, which is usually shown as a communication network.

[0127] At this point, those skilled in the art should recognize that, although multiple exemplary embodiments of the present invention have been shown and described in detail herein, many other variations or modifications that conform to the principles of the present invention can still be directly determined or derived based on the content disclosed in 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 recognized as covering all these other variations or modifications.

Claims

1. An operation control method 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, wherein the electricity price information includes the time-sharing period of the electricity price and the electricity rate and power generation rate of each time-sharing period, and the energy storage parameters include 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; Adjust and optimize the charging and discharging strategy according to the operating restriction conditions; Controlling the energy storage system to charge and discharge according to the adjusted and optimized charging and discharging strategy; The operation restriction condition includes the charge and discharge depth of the energy storage battery, and the step of obtaining the operation restriction condition of the energy storage system includes: obtaining the battery type and battery operation data of the energy storage system; inputting the battery type and battery operation data of the energy storage system into a pre-trained battery charge and discharge model, and determining the charge and discharge depth of the battery of the energy storage system by using the battery charge and discharge model to ensure the cycle life of the battery; The step of adjusting and optimizing the charging and discharging strategy according to the operating restriction conditions includes: setting 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 according to the charging and discharging depth determined by the battery charging and discharging model; and adjusting the charging and discharging strategy according to the upper limit of energy storage capacity and the lower limit of energy storage capacity.

2. The operation control method of the energy storage system according to claim 1, wherein: The step of obtaining the electricity price information of the power grid to which the energy storage system is connected comprises: Collect messages released by power grid operators; Use a preset electricity price keyword to match the message to determine whether there is electricity price information applicable to the energy storage system; If it exists, 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 comprises: Acquire historical operation data of the energy storage system, wherein the historical operation data includes: electricity metering data and energy storage energy data; Acquire the expected value of the charging efficiency and the expected value of the discharging efficiency according to the electricity metering data and the energy storage energy data; 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 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 the charging and discharging strategy of the energy storage system in each time-sharing period according to the electricity price information and the energy storage parameters comprises: Calculating an actual charging rate of the energy storage system according to 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; The charging and discharging strategies for each time-sharing period are formulated according to the difference.

5. The operation control method of the energy storage system according to claim 1, wherein: The operation restriction conditions also include the temperature rise rate of the energy storage system; The step of obtaining the operating restriction conditions of the energy storage system comprises: Acquiring 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.

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 comprises: Obtaining an ambient temperature forecast during a charging period in the charging and discharging strategy; Determining whether the temperature of the energy storage system exceeds the limit during the charging period according to the temperature rise rate and the ambient temperature forecast; If the temperature exceeds the limit, the charging time period in the charging and discharging strategy is changed and / or the charging power in the charging and discharging strategy is limited.

7. The operation control method of the energy storage system according to claim 1, 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 comprises: Acquire an operation history record of the energy storage system, wherein the operation history record includes maintenance record information and maintenance cost information; The maintenance cost allocated to each charging and discharging cycle of the energy storage system is calculated according to the operation history records.

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 comprises: 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.

9. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the operation control method of the energy storage system described in any one of claims 1 to 8 are implemented.

10. 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 operation control method of the energy storage system according to any one of claims 1 to 8 are implemented.

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