Energy storage system control method based on multi-target cooperative operation

Abstract

The invention discloses an energy storage system control method based on multi-target cooperative operation. The method comprises the following steps: acquiring state data of an energy storage system in a current control period and state data of the energy storage system connected with a power grid; based on the state data of the energy storage system and the state data of the power grid, calculating an operation state comprehensive evaluation value of the energy storage system in the current control period; and determining a priority regulation and control target based on the comprehensive evaluation value of the operation state in combination with the state data of the energy storage system and the state data of the power grid, and controlling the energy storage system to regulate and control the priority regulation and control target in the next control period. A plurality of regulation targets of the energy storage system are comprehensively considered, and the comprehensive evaluation value of the operation state is calculated according to the real-time state data of the system to determine the priority regulation target, so that the energy storage system is promoted to regulate the corresponding targets in a targeted manner in the next period, the relationship among different targets is effectively coordinated, the one-sidedness caused by single target regulation is avoided, and the regulation efficiency is improved. And overall collaborative optimization is realized.

Description

Technical Field

[0001] The present invention relates to the field of energy storage system control, and in particular to an energy storage system control method based on multi-objective collaborative operation. Background Art

[0002] With the acceleration of energy transformation, the proportion of renewable energy in the power system is increasing, such as the large-scale access of distributed energy such as solar energy and wind energy. These energy sources are intermittent and volatile, which brings great challenges to the stable operation of the power grid. As a device that can store and release electrical energy, the energy storage system plays an important role in balancing the power of the power grid, regulating the voltage, and improving the quality of power.

[0003] In traditional energy storage system control, the focus is often on achieving a single goal. For example, some control strategies only focus on power balance, and adjust the charging and discharging power of the energy storage system to match the power demand of the power grid to stabilize the grid frequency. However, this single-goal control method ignores the state of the energy storage system itself, such as state of charge (SOC), state of health (SOH) and temperature. Long-term overcharging and discharging may shorten the battery life, and abnormal temperature may affect battery performance and even cause safety problems.

[0004] At the same time, with the development of the power market and the improvement of users' requirements for power quality, energy storage systems must not only play a role on the grid side, but also take into account their own economic benefits and operational reliability. For example, in areas where the difference between peak and valley electricity prices is large, reasonably controlling the charge and discharge depth of the energy storage system, charging during valley electricity price periods and discharging during peak electricity price periods can reduce electricity costs. However, traditional control methods make it difficult to effectively coordinate and balance multiple objectives.

[0005] The existing technical solutions have the following difficulties in solving the above problems: First, most of the existing energy storage system control solutions lack comprehensive consideration and collaborative optimization mechanisms for multiple control targets. There may be conflicts between different targets. For example, in the pursuit of power balance, the energy storage system may be overcharged and discharged, affecting its charge and discharge depth target; while excessive attention to the charge and discharge depth may not be able to timely and effectively regulate the voltage when the voltage fluctuates in the power grid. This incoordination between targets will reduce the overall performance and operating efficiency of the energy storage system in the power grid. Second, traditional control methods usually use fixed control parameters and thresholds, which are difficult to adapt to the dynamic changes of energy storage systems and power grids. As the energy storage system operates, the SOH of the battery will gradually decrease, and its capacity and performance will also change. However, the fixed SOC threshold may not be able to reflect this change in time, resulting in the charge and discharge control according to the original threshold in the later stage of battery aging, further accelerating the damage of the battery. In terms of the power grid, factors such as load characteristics and the proportion of distributed energy access are also constantly changing. The fixed power deviation threshold and voltage deviation threshold cannot meet the control requirements under different working conditions, affecting the stability and power quality of the power grid. Summary of the invention

[0006] The purpose of the embodiment of the present invention is to provide a control method for an energy storage system based on multi-objective collaborative operation, which comprehensively considers multiple control objectives of the energy storage system, calculates a comprehensive evaluation value of the operating status according to the real-time status data of the system to determine the priority control target, and prompts the energy storage system to specifically control the corresponding target in the next cycle, effectively coordinates the relationship between different targets, avoids the one-sidedness caused by single-target control, and ensures that the energy storage system can not only assist in maintaining the stable operation of the power grid, but also take into account its own performance and life, so as to achieve overall collaborative optimization.

[0007] To solve the above technical problems, a first aspect of an embodiment of the present invention provides a method for controlling an energy storage system based on multi-objective coordinated operation, wherein the control objectives of the energy storage system include: a power balance objective, a voltage regulation objective, and a charge and discharge depth objective, and the control method includes the following steps:

[0008] Acquire the status data of the energy storage system and the status data of the energy storage system connected to the power grid in the current control cycle, wherein the status data of the energy storage system includes: charge state, health state and temperature value, and the status data of the power grid includes: power value, voltage value and frequency value;

[0009] Calculating a comprehensive evaluation value of the operating state of the energy storage system in the current control cycle based on the state data of the energy storage system and the state data of the power grid;

[0010] Based on the comprehensive evaluation value of the operating status, combined with the status data of the energy storage system and the status data of the power grid, a priority control target is determined, and the energy storage system is controlled to control the priority control target in the next control cycle.

[0011] Furthermore, the combining the state data of the energy storage system and the state data of the power grid to determine the priority control target includes:

[0012] When the actual frequency deviation value of the power grid is greater than the frequency deviation threshold or the actual power deviation value is greater than the power deviation threshold, and the comprehensive evaluation value of the operating state is greater than or equal to the first comprehensive evaluation threshold, controlling the energy storage system to preferentially adjust the power balance target;

[0013] When the actual voltage deviation value of the power grid is greater than the voltage deviation threshold and the comprehensive evaluation value of the operating state is greater than or equal to the second comprehensive evaluation threshold and less than the first comprehensive evaluation threshold, controlling the energy storage system to preferentially adjust the voltage regulation target;

[0014] When the state of charge value in the energy storage system is less than the lower limit of the state of charge threshold or greater than the upper limit of the state of charge threshold, the temperature value is less than the lower limit of the temperature threshold or greater than the upper limit of the temperature threshold, and the comprehensive evaluation value of the operating status is less than the second comprehensive evaluation threshold, the energy storage system is controlled to prioritize the charge and discharge depth target.

[0015] Further, the controlling the energy storage system to preferentially adjust the power balance target includes:

[0016] According to the actual frequency deviation value and the actual power deviation value, an active power adjustment amount is calculated by adopting an active power-frequency droop control strategy;

[0017] Based on the power converter of the energy storage system, the active power of the energy storage system is adjusted based on the active power adjustment amount to achieve power balance.

[0018] Further, the controlling the energy storage system to preferentially adjust the voltage regulation target includes:

[0019] According to the actual voltage deviation value, a reactive power regulation amount is calculated by adopting a reactive power-voltage droop control strategy;

[0020] Based on the charge state and health state of the several energy storage units of the energy storage system, allocating the reactive power adjustment amount to the several energy storage units of the energy storage system;

[0021] Based on the power converter of the energy storage system, the reactive power of the plurality of energy storage units is adjusted accordingly.

[0022] Further, the controlling the energy storage system to preferentially adjust the charge and discharge depth target includes:

[0023] When the state of charge value in the energy storage system is less than the lower limit of the state of charge threshold, controlling the energy storage system to reduce discharge or start charging;

[0024] When the state of charge value in the energy storage system is greater than the upper limit of the state of charge threshold, controlling the energy storage system to reduce charging or start discharging;

[0025] When the temperature value in the energy storage system is less than the lower limit of the temperature threshold, reducing the charging and discharging power or starting the heating device of the energy storage system;

[0026] When the temperature value in the energy storage system is greater than the upper temperature threshold, the charging and discharging power is reduced or the cooling device of the energy storage system is started.

[0027] Furthermore, the calculation formula of the comprehensive evaluation value of the operating status is:

[0028]

[0029] Among them, SE x is the comprehensive evaluation value of the operating status of the xth control cycle, SOC x is the real-time value of the state of charge in the xth control cycle, SOC min The minimum state of charge, SOC max is the maximum state of charge, SOH x is the real-time value of the health status in the xth control cycle, T x is the real-time temperature value of the xth control cycle, T opt For T max is the upper temperature threshold, T min is the lower limit of temperature threshold, P x is the real-time power value of the xth control cycle, P rated is the rated power value, V x is the real-time voltage value of the xth control cycle, V rated is the rated voltage value, f x is the real-time value of the frequency in the xth control cycle, f rated is the rated frequency value, i, j, k, l, p, t are the number of groups of corresponding adjustment coefficients for state of charge, health state, temperature, power, voltage, and frequency, respectively, a i 、b i 、c i d j 、e j 、f j , g k 、h k 、i k 、ml 、n l , o l ,q p 、r p 、s p 、u t 、v t 、w t They are adjustment coefficients respectively, used to adjust the sensitivity and nonlinearity of their respective corresponding parameters to the comprehensive evaluation value of the operating status.

[0030] Further, the state of charge of the energy storage system is an average value of the states of charge of the plurality of energy storage units;

[0031] The health status of the energy storage system is the average health status of the plurality of energy storage units;

[0032] The temperature value of the energy storage system is the average temperature value of the several energy storage units.

[0033] Accordingly, a second aspect of an embodiment of the present invention provides an energy storage system control device based on multi-objective coordinated operation, wherein the regulation objectives of the energy storage system include: a power balance objective, a voltage regulation objective, and a charge and discharge depth objective, and the control device includes:

[0034] A data acquisition module, which is used to obtain the status data of the energy storage system and the status data of the energy storage system connected to the power grid in the current control cycle. The status data of the energy storage system includes: charge state, health state and temperature value, and the status data of the power grid includes: power value, voltage value and frequency value;

[0035] An evaluation and calculation module, which is used to calculate a comprehensive evaluation value of the operating state of the energy storage system in a current control cycle based on the state data of the energy storage system and the state data of the power grid;

[0036] A control module is selected, which is used to determine a priority control target based on the comprehensive evaluation value of the operating status, combined with the status data of the energy storage system and the status data of the power grid, and control the energy storage system to control the priority control target in the next control cycle.

[0037] Correspondingly, a third aspect of an embodiment of the present invention provides an electronic device, characterized in that it includes: at least one processor; and a memory connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor executes the above-mentioned energy storage system control method based on multi-objective collaborative operation.

[0038] Correspondingly, a fourth aspect of an embodiment of the present invention provides a computer-readable storage medium, characterized in that computer instructions are stored thereon, and when the instructions are executed by a processor, the above-mentioned energy storage system control method based on multi-objective collaborative operation is implemented.

[0039] The above technical solution of the embodiment of the present invention has the following beneficial technical effects:

[0040] 1. By comprehensively considering the power balance target, voltage regulation target, and charge and discharge depth target of the energy storage system, the comprehensive evaluation value of the operating status can be calculated based on the real-time status data of the system, and the priority control target can be determined, so that the energy storage system can be targeted to control the corresponding targets in the next cycle, effectively coordinate the relationship between different targets, avoid the one-sidedness caused by single-target control, and ensure that the energy storage system can not only help maintain the stable operation of the power grid, but also take into account its own performance and life, and achieve overall collaborative optimization;

[0041] 2. Based on the continuously acquired energy storage system and grid status data, further expansion steps such as control effect evaluation, system status prediction and early warning, strategy optimization and parameter adjustment can be carried out in the future, so that the control method can dynamically adapt to changes in various internal and external factors such as energy storage system aging, grid load changes, and distributed energy access according to actual operating conditions, timely discover potential problems and issue early warnings, optimize control strategies, and thus improve the reliability of the entire energy storage system and grid operation and reduce the probability of failures;

[0042] 3. If the energy storage system has a collaborative operation relationship with other energy systems or equipment, it can interact and coordinate with them after completing its own regulation, and reasonably allocate energy flow and information flow, such as coordinating solar energy, wind power generation, electric vehicle charging and other links. It can make full use of the regulation capacity of the energy storage system, so that the entire energy system can flexibly arrange energy storage, release and use according to the load conditions of the power grid, improve the comprehensive utilization efficiency of energy, and better meet diverse electricity needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a flow chart of a method for controlling an energy storage system based on multi-objective collaborative operation provided by an embodiment of the present invention;

[0044] Figure 2 It is a block diagram of a module of an energy storage system control device based on multi-objective collaborative operation provided by an embodiment of the present invention.

[0045] Reference numerals:

[0046] 1. Data acquisition module, 2. Evaluation and calculation module, 3. Selection and control module. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, the description of well-known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present invention.

[0048] Please refer to Figure 1 The first aspect of the embodiment of the present invention provides a method for controlling an energy storage system based on multi-objective coordinated operation. The control objectives of the energy storage system include: a power balance objective, a voltage regulation objective, and a charge and discharge depth objective. The control method includes the following steps:

[0049] Step S100, obtaining the status data of the energy storage system and the status data of the energy storage system connected to the power grid in the current control cycle, the status data of the energy storage system includes: charge state, health state and temperature value, and the status data of the power grid includes: power value, voltage value and frequency value.

[0050] In order to obtain the status data of the energy storage system and the connected grid in the current control cycle, a series of high-precision sensors need to be deployed inside the energy storage system and at the grid connection point. For the state of charge (SOC) of the energy storage system, it can be calculated in real time through the built-in current and voltage sensors of the battery management system (BMS) using a specific SOC estimation algorithm (such as the ampere-hour integration method combined with the open circuit voltage method for correction). The state of health (SOH) can be indirectly evaluated by monitoring parameters such as battery internal resistance and capacity decay. For example, through periodic capacity calibration experiments and comparing the baseline capacity data of new batteries, the capacity retention rate is calculated as an important indicator of SOH. The corresponding sensors include high-precision internal resistance measuring instruments. The temperature value can be collected by temperature sensors distributed on battery modules and key electrical components. These sensors should have good thermal response characteristics and measurement accuracy to accurately reflect the temperature distribution of the system. On the grid side, the power value can be measured by a power analyzer installed at the grid access point, which can simultaneously monitor the real-time values ​​and change trends of active power, reactive power and apparent power. The voltage value is collected by the voltage transformer, and the frequency value can be obtained by a frequency meter or a smart meter with frequency measurement function. The data collection frequency of these sensors should be reasonably set according to the response requirements of the energy storage system and the dynamic characteristics of the power grid, generally between milliseconds and seconds, to ensure that sufficiently accurate and timely data samples are obtained.

[0051] Step S200, based on the status data of the energy storage system and the status data of the power grid, calculate the comprehensive evaluation value of the operating status of the energy storage system in the current control cycle.

[0052] Step S300, based on the comprehensive evaluation value of the operating status, combined with the status data of the energy storage system and the status data of the power grid, determine the priority control target, and control the energy storage system to control the priority control target in the next control cycle.

[0053] Based on the calculated comprehensive evaluation value of the operating status, combined with the detailed status data of the energy storage system and the power grid, the priority control target is determined, and multiple threshold intervals are set to divide the priorities of different control targets.

[0054] For example, when the comprehensive evaluation value of the operating status is greater than or equal to the first comprehensive evaluation threshold, and the actual frequency deviation value of the power grid is greater than the frequency deviation threshold or the actual power deviation value is greater than the power deviation threshold, the power balance target is determined as the priority control target; in this case, the power imbalance of the power grid is relatively serious, which may affect the stable operation of the power grid. The energy storage system needs to prioritize the investment of power regulation resources and stabilize the frequency and power of the power grid by adjusting the charging and discharging power. When the comprehensive evaluation value of the operating status is greater than or equal to the second comprehensive evaluation threshold and less than the first comprehensive evaluation threshold, and the actual voltage deviation value of the power grid is greater than the voltage deviation threshold, the voltage regulation target is selected as the priority. At this time, the power balance of the power grid is relatively controllable, but there is a problem with the voltage quality. The energy storage system should focus on improving the voltage deviation by adjusting the reactive power to ensure the power quality of the power grid.

[0055] When the comprehensive evaluation value of the operating status is less than the second comprehensive evaluation threshold, and the state of charge value in the energy storage system is less than the lower limit of the state of charge threshold or greater than the upper limit of the state of charge threshold, and the temperature value is less than the lower limit of the temperature threshold or greater than the upper limit of the temperature threshold, the charge and discharge depth target is selected first, indicating that the state of the energy storage system itself is abnormal, and the charge and discharge strategy needs to be adjusted first to protect the battery life and safety of the energy storage system and avoid battery damage caused by excessive charging and discharging or abnormal temperature.

[0056] The above control method comprehensively considers the charge state, health state, temperature of the energy storage system and the power, voltage, frequency and other parameters of the power grid. Through a variety of nonlinear operations (such as power operations, logarithmic operations, etc.) and weight distribution, it can more carefully reflect the comprehensive state of the energy storage system, so as to judge the priority goals or make other control decisions based on the value.

[0057] Specifically, the step S300 combines the state data of the energy storage system and the state data of the power grid to determine the priority control target, including:

[0058] Step S310, when the actual frequency deviation value of the power grid is greater than the frequency deviation threshold or the actual power deviation value is greater than the power deviation threshold, and the comprehensive evaluation value of the operating status is greater than or equal to the first comprehensive evaluation threshold, the energy storage system is controlled to prioritize the power balance target.

[0059] When the actual frequency deviation value of the power grid is greater than the frequency deviation threshold or the actual power deviation value is greater than the power deviation threshold, and the comprehensive evaluation value of the operating status is greater than or equal to the first comprehensive evaluation threshold, the power balance target should be given priority. Frequency and power are key factors in the stable operation of the power grid. Large frequency or power deviations may lead to serious consequences such as power grid collapse. Setting a comprehensive evaluation threshold can ensure that the system status reaches a certain degree of "urgency" as a whole, and power balance regulation needs to be prioritized. For example, when a large number of distributed power sources are connected to the power grid or the load changes suddenly, the frequency and power are prone to large fluctuations. This control condition can allow the energy storage system to participate in power balance regulation in a timely manner.

[0060] Step S320, when the actual voltage deviation value of the power grid is greater than the voltage deviation threshold and the comprehensive evaluation value of the operating status is greater than or equal to the second comprehensive evaluation threshold and less than the first comprehensive evaluation threshold, the energy storage system is controlled to preferentially adjust the voltage regulation target.

[0061] When the actual voltage deviation value of the power grid is greater than the voltage deviation threshold and the comprehensive evaluation value of the operating status is greater than or equal to the second comprehensive evaluation threshold and less than the first comprehensive evaluation threshold, the voltage regulation target should be regulated first. Voltage quality is also very important for the normal operation of power grid equipment and user equipment, but in terms of priority, when the power balance problem is not very serious (the comprehensive evaluation value of the operating status is lower than the first threshold), it is appropriate to focus on voltage regulation. For example, in some industrial areas that are sensitive to voltage quality, voltage deviation may affect the performance of production equipment. This control condition can enable the energy storage system to intervene in voltage regulation at the right time.

[0062] Step S330, when the state of charge value in the energy storage system is less than the lower limit of the state of charge threshold or greater than the upper limit of the state of charge threshold, the temperature value is less than the lower limit of the temperature threshold or greater than the upper limit of the temperature threshold, and the comprehensive evaluation value of the operating status is less than the second comprehensive evaluation threshold, the energy storage system is controlled to prioritize the charge and discharge depth target.

[0063] When the state of charge value in the energy storage system is less than the lower limit of the state of charge threshold or greater than the upper limit of the state of charge threshold, the temperature value is less than the lower limit of the temperature threshold or greater than the upper limit of the temperature threshold, and the comprehensive evaluation value of the operating status is less than the second comprehensive evaluation threshold, the charge and discharge depth target should be adjusted first. This is considered from the perspective of the health and performance of the energy storage system itself. When the overall state of the system is relatively stable (the comprehensive evaluation value of the operating status is low), but the key parameters of the energy storage unit itself (SOC and temperature) are abnormal, paying attention to the charge and discharge depth can avoid excessive charging and discharging of the battery or working at inappropriate temperatures, thereby extending the service life of the energy storage system. For example, after the energy storage system has been running for a long time, the battery temperature may rise, or the SOC may exceed a reasonable range. At this time, giving priority to the charge and discharge depth target will help protect the battery.

[0064] This control method adopts different control strategies for different targets, which is in line with the actual needs of energy storage systems in multi-target coordinated operation. For the power balance target, the energy storage system can stabilize the grid frequency and power by adjusting the active power and reactive power; for the voltage regulation target, the voltage is adjusted by controlling the reactive power output; for the charge and discharge depth target, the SOC is controlled by adjusting the charge and discharge power and considering the temperature factor. The above control method is highly targeted.

[0065] The above thresholds are not fixed and can be adjusted dynamically according to the actual operation of the energy storage system, the dynamic characteristics of the power grid, and different control requirements. For example, during periods of large grid load fluctuations, the value of the first comprehensive evaluation threshold can be appropriately lowered to make the power balance target more easily prioritized to enhance the stability of the power grid; when the energy storage system is aging or has higher requirements for battery life, the value of the second comprehensive evaluation threshold can be adjusted to pay attention to the charge and discharge depth target in advance and better protect the energy storage unit. This method of dynamically adjusting the threshold can make the control strategy of the energy storage system more flexible and adapt to changes in the actual operating environment.

[0066] Furthermore, controlling the energy storage system to preferentially adjust the power balance target in step S310 includes:

[0067] Step S311, according to the actual frequency deviation value and the actual power deviation value, the active power adjustment amount is calculated by adopting the active power-frequency droop control strategy.

[0068] Step S312, based on the power converter of the energy storage system, the active power of the energy storage system is adjusted based on the active power adjustment amount to achieve power balance.

[0069] First, determine the active power-frequency (Pf) droop characteristic curve. For example, set the droop coefficient to m (unit: kW / Hz), and its value is determined according to the power capacity of the energy storage system and the grid requirements. When the grid frequency deviation is Δf, the active power adjustment amount of the energy storage system ΔP = -m×Δf. The negative sign here means that when the frequency decreases, the energy storage system increases the active power output (the charging power decreases or the discharging power increases) to compensate for the power shortage and maintain frequency stability.

[0070] The adjustment amount is calculated in real time based on the actual frequency deviation of the power grid. For example, if the rated frequency of the power grid is f rated =50Hz, the frequency deviation threshold is set to Δf=0.2Hz, when the actual frequency f=49.7Hz, Δf=0.3Hz, and the droop coefficient m=100kW / Hz are detected, the energy storage system needs to increase the active power output by ΔP=-m×Δf=-100×(-0.3)=30kW, that is, the discharge power of the energy storage system is increased by 30kW to balance the power.

[0071] In addition, reactive power regulation can also indirectly affect power balance, which will not be discussed here.

[0072] Furthermore, controlling the energy storage system to preferentially adjust the voltage regulation target in step S320 includes:

[0073] Step S321, according to the actual voltage deviation value, the reactive power adjustment amount is calculated by adopting the reactive power-voltage droop control strategy.

[0074] According to the voltage deviation value ΔV, the reactive power-voltage (QV) droop control strategy is used to calculate the required reactive power adjustment ΔQ. Determine the QV droop coefficient, then ΔQ = -k q ×ΔV (when the voltage drops, the inductive reactive power is output to raise the voltage, and ΔQ is a positive value; when the voltage rises, the capacitive reactive power is output to lower the voltage, and ΔQ is a negative value).

[0075] Step S322: allocating reactive power adjustment amount to several energy storage units of the energy storage system based on the charge state and health state of the several energy storage units of the energy storage system.

[0076] Consider the reactive power output capacity and current operating status of the energy storage system and allocate reactive power regulation tasks reasonably. For example, if the energy storage system consists of multiple energy storage units, the reactive power regulation amount is proportionally allocated to each energy storage unit according to the SOC, SOH and other conditions of each unit to ensure stable operation of the system and not over-consume the resources of a certain energy storage unit.

[0077] Step S323: Based on the power converter of the energy storage system, the reactive power of several energy storage units is adjusted accordingly.

[0078] The calculated reactive power regulation command is sent to the power converter of the energy storage system. The power converter adjusts the output reactive power according to the command, changes the reactive power flow distribution of the power grid, and thus realizes the regulation of the power grid voltage.

[0079] Continuously monitor the grid voltage and observe the regulation effect. If the voltage still does not reach the ideal range, fine-tune the reactive power regulation amount or adjust the control strategy based on the feedback information to change the droop coefficient k q until the grid voltage stabilizes within the allowable deviation range.

[0080] Furthermore, controlling the energy storage system in step S330 to preferentially adjust the charge and discharge depth target includes:

[0081] Step S331, when the state of charge value in the energy storage system is less than the lower limit of the state of charge threshold, the energy storage system is controlled to reduce discharge or start charging.

[0082] If SOC is less than SOC min , the energy storage system is controlled to reduce the discharge power or start charging. For example, according to the preset charging curve or strategy, a lower charging power (such as 30%-50% of the rated power) is set to avoid damage to the battery caused by fast charging and gradually increase the SOC.

[0083] Step S332: When the state of charge value in the energy storage system is greater than the upper limit of the state of charge threshold, the energy storage system is controlled to reduce charging or start discharging.

[0084] If SOC is greater than SOC max , the charging power is reduced or discharging begins. The discharging power is also limited according to the system settings, such as 40%-60% of the rated power to prevent overcharging from affecting battery performance and life.

[0085] Step S333: when the temperature value in the energy storage system is less than the lower limit of the temperature threshold, the charging and discharging power is reduced or the heating device of the energy storage system is started.

[0086] For abnormal temperature, if T <T min , consider whether to start the heating device (if any) to increase the battery temperature, and at the same time appropriately reduce the charging and discharging power to reduce the risk of battery loss and performance degradation at low temperatures.

[0087] Step S334, when the temperature value in the energy storage system is greater than the upper temperature threshold, the charging and discharging power is reduced or the cooling device of the energy storage system is started.

[0088] If T>T max , start the cooling device, and also reduce the charging and discharging power to prevent high temperature from causing overheating and damage to the battery.

[0089] Send the charge and discharge power adjustment instructions to the power converter and battery management system (BMS) of the energy storage system. The power converter changes the output power according to the instructions, and the BMS is responsible for monitoring the battery's charge and discharge process to ensure that the battery works according to the set strategy. Then, continuously monitor the changes in SOC and temperature, as well as the overall operating status of the energy storage system. Based on the feedback information, determine whether the adjusted charge and discharge strategy is effective, such as whether the SOC is gradually approaching a reasonable range, whether the temperature is stable in a suitable range, etc. If the expected effect is not achieved, further optimize the control strategy, such as fine-tuning the charge and discharge power, adjusting the operating parameters of the heating or cooling system, etc., until the relevant requirements such as charge and discharge depth and temperature are met, to ensure the stable operation of the energy storage system and the health of the battery.

[0090] In a specific implementation of the embodiment of the present invention, the calculation formula of the comprehensive evaluation value of the operating status in step S200 is:

[0091]

[0092] Among them, SE x is the comprehensive evaluation value of the operating status of the xth control cycle, SOC x is the real-time value of the state of charge in the xth control cycle, SOC min The minimum state of charge, SOC max is the maximum state of charge, SOH x is the real-time value of the health status in the xth control cycle, T x is the real-time temperature value of the xth control cycle, T opt For T max is the upper temperature threshold, T min is the lower limit of temperature threshold, P x is the real-time power value of the xth control cycle, P rated is the rated power value, V x is the real-time voltage value of the xth control cycle, V rated is the rated voltage value, f x is the real-time value of the frequency in the xth control cycle, f rated is the rated frequency value, i, j, k, l, p, t are the number of groups of corresponding adjustment coefficients for state of charge, health state, temperature, power, voltage, and frequency, respectively, a i , b i 、c i ,d j 、e j 、f j , g k 、h k 、i k 、m l 、n l , o l ,q p 、r p 、s p 、u t 、v t 、w t They are adjustment coefficients, which are used to adjust the sensitivity and nonlinearity of their corresponding parameters to the comprehensive evaluation value of the operating status.

[0093] Specifically, the first term related to SOC in the above calculation formula is The actual value of SOC is normalized to a value between 0 and 1, and then the exponentiation is performed. i The influence degree and nonlinear characteristics of SOC on the comprehensive evaluation value can be controlled. i >1, it will amplify the SOC when it is close to SOC max or SOC minThe impact of changes in the comprehensive evaluation value; when 1>b i >0, this influence will be relatively reduced, making the impact of SOC on the comprehensive evaluation value in the middle value range more gentle. The above method can more flexibly adjust the contribution weight of SOC to the comprehensive evaluation value according to actual needs, highlight or weaken the importance of SOC in different value ranges, and thus more accurately reflect the impact of SOC on the overall system performance. The second item related to SOC In the calculation, the normalized SOC value is used as the independent variable of the cosine function by taking advantage of the periodicity and value range of the cosine function in [-1,1]. The period and phase of the cosine function are controlled so that the change of SOC is combined with the oscillation characteristics of the cosine function.

[0094] The first item related to SOH In , the SOH is logarithmically calculated. The characteristic of the logarithmic function is that it grows slowly when the independent variable is small and grows faster when the independent variable is large. Taking the logarithm of 1+SOH here can avoid the situation where the logarithm is undefined when SOH=0, and at the same time, it can be used as an exponent to adjust the growth rate of the logarithmic function. The above method can highlight the impact of SOH on the comprehensive evaluation value when it is large. As SOH increases, the value of the logarithmic function will grow faster and faster, thereby further emphasizing the positive effect of the battery's good health on the overall performance of the system, and making the comprehensive evaluation value more sensitive to changes in SOH, which is conducive to timely detection of significant changes in the battery's health status. In the second term, sin(f j ×π×SOH x ) Using the periodicity of the sine function and the value range of [-1,1], SOH is used as the independent variable of the sine function for calculation, f j The above method can capture the influence of periodic change characteristics on the comprehensive evaluation value. For example, during the charge and discharge cycle of the battery, its health status may show certain periodic fluctuations. The sine function can well reflect the contribution of such fluctuations to the comprehensive evaluation value, providing more detailed information for the evaluation.

[0095] The first term related to temperature T Calculation temperature T and optimal working temperature T opt The difference is normalized to the interval and then the power operation is performed. The power index can control the influence of the temperature on the comprehensive evaluation value and the nonlinear characteristics when the temperature deviates from the optimal value. k >1, it will amplify the impact of temperature deviation from the optimal value; when 1>h kWhen T > 0, this influence will be relatively reduced, making the change of the comprehensive evaluation value more gentle when the temperature is close to the optimal value. The above method can flexibly adjust the influence weight of temperature on the comprehensive evaluation value according to actual needs, highlight or weaken the importance of temperature on system performance at different deviation levels, and more accurately reflect the influence of temperature on the overall system performance. The second item related to temperature T Using the tangent function The monotonicity within the interval and the range of values ​​​​are R. The normalized temperature difference is used as the independent variable of the tangent function to calculate, i k Controls the slope and phase of the tangent function. The above method can capture the temperature close to T max or T min The rapid changes in temperature have a strong impact on the comprehensive evaluation value, because the tangent function tends to infinity near the boundary of its domain of definition, which can more sensitively reflect the serious impact of temperature anomalies on system performance and help to take timely measures to protect the system.

[0096] The first term related to power P In , the ratio of actual power to rated power is calculated, and its absolute value is taken for power operation. The power exponent can control the degree of influence and nonlinear characteristics of power on the comprehensive evaluation value. When , the impact of power deviation from the rated value will be magnified; when , this impact will be relatively reduced, making the change of power on the comprehensive evaluation value more gradual when it is close to the rated value. The above method can flexibly adjust the influence weight of power on the comprehensive evaluation value according to actual needs, highlight or weaken the importance of power in different value ranges to system performance, and more accurately reflect the impact of power on the performance of the entire system. The second item above In the hyperbolic sine function When x>0, it increases monotonically and the growth rate is fast. When x<0, it decreases monotonically and the absolute value also increases fast. The hyperbolic sine function can be used as an independent variable to adjust the growth rate of the hyperbolic sine function. The above method can further amplify the impact of power deviation from the rated value on the comprehensive evaluation value, especially when the power is large or small, the rapid growth or decline characteristics of the hyperbolic sine function can more significantly reflect the impact of power changes on system performance, which helps to more accurately evaluate the performance of the system under different power states.

[0097] The first term related to the voltage V , calculate the actual voltage V x With rated voltage V rated The difference is normalized to the interval [0,1] and then subjected to power operation. The power index can control the influence of the voltage deviation from the rated value on the comprehensive evaluation value and the nonlinear characteristics. p >1, it will amplify the impact of voltage deviation from the rated value; when 1>rp >0, this influence will be relatively reduced, making the change of the comprehensive evaluation value more gentle when the voltage is close to the rated value. The above method can flexibly adjust the influence weight of the voltage on the comprehensive evaluation value according to actual needs, highlight or weaken the importance of voltage in different value ranges to system performance, and more accurately reflect the impact of voltage on the performance of the entire system. In the hyperbolic cosine function It reaches the minimum value 1 when x=0, and increases monotonically and rapidly when x>0 and x<0. Perform hyperbolic cosine operation as the independent variable, s p The growth rate of the hyperbolic cosine function can be adjusted. The above method can highlight the impact of voltage deviation from the rated value on the comprehensive evaluation value, especially when the voltage deviation is large, the rapid growth characteristics of the hyperbolic cosine function can more significantly reflect the impact of voltage changes on system performance, which helps to more promptly discover the harm of voltage anomalies to system performance.

[0098] The first term related to frequency , calculate the actual frequency f x With rated frequency f rated The difference is normalized to the interval [0,1] and then subjected to power operation. t The influence degree and nonlinear characteristics of the comprehensive evaluation value when the frequency deviates from the rated value can be controlled. t >1, the effect of frequency deviation from the rated value will be amplified; when 1>v t >0, this influence will be relatively reduced, making the change of the comprehensive evaluation value more gentle when the frequency is close to the rated value3. The above method can flexibly adjust the influence weight of the frequency on the comprehensive evaluation value according to actual needs, highlight or weaken the importance of frequency on system performance in different value ranges, and more accurately reflect the influence of frequency on the performance of the entire system. In the hyperbolic tangent function Its value range is between (1-, 1), and its value is 0 when x=0, it increases monotonically when x>0, and decreases monotonically when x<0. The slope and phase of the hyperbolic tangent function can be adjusted by using the hyperbolic tangent operation as an independent variable. The above method can capture the impact of small changes in frequency when it is close to the rated value on the comprehensive evaluation value, because the hyperbolic tangent function changes more slowly when x is close to 0, and changes gradually faster when x deviates from 0, thus being able to more finely reflect the impact of frequency changes on system performance, and helping to make timely adjustments and optimizations when there are slight frequency anomalies.

[0099] Furthermore, the state of charge of the energy storage system is the average value of the states of charge of several energy storage units; the health state of the energy storage system is the average value of the health states of several energy storage units; and the temperature value of the energy storage system is the average value of the temperatures of several energy storage units.

[0100] In addition, in order to enhance the flexibility and adaptability of the calculation formula, three cumulative items are set in the calculation part corresponding to each parameter in order to be able to more flexibly adjust the impact of the parameter on the comprehensive evaluation value (SE). Through three different calculation items, each of which has its own coefficient (such as,, etc.), the contribution of the parameter to the evaluation value can be considered from multiple angles and different change characteristics. For example, for the state of charge (SOC), the coefficients in the three items can be adjusted so that the SOC has different nonlinear, periodic and other comprehensive effects on SE in different value ranges (such as low SOC range, middle SOC range, high SOC range), so as to better adapt to the performance characteristics of the energy storage system under different working conditions. A single complex function form may only capture one main characteristic of parameter changes. The use of three cumulative items can consider multiple characteristics at the same time. Taking temperature (T) as an example, one term may be used to highlight the impact of the gentle change of temperature when it is close to the optimal temperature on SE (through power function and appropriate coefficient adjustment), another term can be used to capture the strong impact of the rapid change of temperature on SE when it deviates greatly from the optimal temperature through trigonometric functions (such as tangent function), and the third term can be used to consider some periodicity of temperature change or other special change patterns (such as periodic fluctuations in system performance within a specific temperature range). In this way, the impact of parameter changes on the comprehensive evaluation value of the system state can be more comprehensively and meticulously reflected, so as to more accurately judge the operating state of the system.

[0101] Below is b i For example, at that time, different b i The value can be used to capture the various nonlinear characteristics of the state of charge (SOC) contribution to the comprehensive evaluation value (SE).

[0102] For b1, a smaller value (such as b1 = 0.5) can be set so that in the lower SOC range, This reflects that when the SOC is low, its impact on system performance is relatively small, and the system may still be able to operate normally to a certain extent, or a small change in SOC can be tolerated within this range.

[0103] For b2, it can be set to b2 = 1, which is a linear growth situation, used to represent the relatively stable impact of SOC on SE when it is in the middle value range. In this range, the change of SOC and the comprehensive evaluation value may show an approximately linear relationship, which is consistent with the performance change characteristics of the system within the normal working range.

[0104] For b3, it can be set to a larger value (such as b3 = 2). When SOC is close to SOC max hour, This shows that the impact of SOC on system performance increases sharply when it approaches the maximum value, because too high SOC may cause problems such as battery overcharging, which will have a serious negative impact on the system.

[0105] By putting the weight adjustments of different dimensions in the same calculation formula, we can comprehensively consider the impact of the state of charge (SOC) on the comprehensive evaluation value (SE) under various circumstances. The impact of SOC on the system in different value ranges (low, medium, and high) and different change modes (performance fluctuations in different cycles) is complex and diverse. By using a unified formula to include the weight adjustments of these different dimensions, all these impacts of SOC can be comprehensively evaluated at one time, avoiding the situation where only a single dimension is considered and other important factors are ignored. This unified formula for multi-dimensional weight adjustment provides a more flexible basis for the control strategy of the energy storage system. By adjusting different weight coefficients (a i ), the control strategy can be optimized according to different operating requirements and scenarios. For example, when focusing on the long-term stability of the energy storage system, a2 (the weight related to the intermediate SOC range and medium-periodic performance fluctuations) can be appropriately increased to ensure the stability of the system's performance within the normal working range; and in scenarios with higher requirements for battery safety, such as preventing battery overcharging, a3 (the weight related to the high SOC range and high-frequency periodic changes) can be increased to make the system pay more attention to the state changes of SOC when it is close to the maximum value, so as to take more effective control measures, such as reducing the charging power in advance.

[0106] In actual energy storage systems and power grid operations, the relationship between various parameters and system performance may be very complex and difficult to accurately describe in a simple functional form. By setting three cumulative terms, different function combinations can be used to fit the complex behavior of the actual system. When optimizing the control strategy, the coefficients of these cumulative terms can be adjusted according to the actual operating data and performance requirements so that the comprehensive evaluation value (SE) can better reflect the system state, thereby more effectively determining the priority goals and control parameters. For example, after experimental testing and data analysis of the energy storage system, it is found that the changes in certain parameters in a specific operating range have a special impact pattern on the system performance. This impact can be better reflected in the comprehensive evaluation value by adjusting the coefficients of the three cumulative terms, thereby optimizing the control strategy to improve the overall performance of the system.

[0107] Accordingly, please refer to Figure 2 The second aspect of the embodiment of the present invention provides a control device for an energy storage system based on multi-objective coordinated operation, wherein the control targets of the energy storage system include: a power balance target, a voltage regulation target, and a charge and discharge depth target, and the control device includes:

[0108] Data acquisition module 1, which is used to obtain the status data of the energy storage system and the status data of the energy storage system connected to the power grid in the current control cycle. The status data of the energy storage system includes: charge state, health state and temperature value, and the status data of the power grid includes: power value, voltage value and frequency value;

[0109] Evaluation and calculation module 2, which is used to calculate the comprehensive evaluation value of the operating status of the energy storage system in the current control cycle based on the status data of the energy storage system and the status data of the power grid;

[0110] A control module 3 is selected, which is used to determine a priority control target based on the comprehensive evaluation value of the operating status and in combination with the status data of the energy storage system and the status data of the power grid, and control the energy storage system to control the priority control target in the next control cycle.

[0111] Correspondingly, a third aspect of an embodiment of the present invention provides an electronic device, characterized in that it includes: at least one processor; and a memory connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor executes the above-mentioned energy storage system control method based on multi-objective collaborative operation.

[0112] Correspondingly, a fourth aspect of an embodiment of the present invention provides a computer-readable storage medium, characterized in that computer instructions are stored thereon, and when the instructions are executed by a processor, the above-mentioned energy storage system control method based on multi-objective collaborative operation is implemented.

[0113] The embodiment of the present invention aims to protect a control method for an energy storage system based on multi-objective collaborative operation. The control objectives of the energy storage system include: power balance objective, voltage regulation objective and charge and discharge depth objective. The control method includes the following steps: obtaining the status data of the energy storage system in the current control cycle and the status data of the energy storage system connected to the power grid. The status data of the energy storage system includes: charge state, health state and temperature value. The status data of the power grid includes: power value, voltage value and frequency value; based on the status data of the energy storage system and the status data of the power grid, calculating the comprehensive evaluation value of the operating status of the energy storage system in the current control cycle; based on the comprehensive evaluation value of the operating status, combined with the status data of the energy storage system and the status data of the power grid, determining the priority control objective, and controlling the energy storage system to control the priority control objective in the next control cycle. The above technical scheme has the following effects:

[0114] 1. By comprehensively considering the power balance target, voltage regulation target, and charge and discharge depth target of the energy storage system, the comprehensive evaluation value of the operating status can be calculated based on the real-time status data of the system, and the priority control target can be determined, so that the energy storage system can be targeted to control the corresponding targets in the next cycle, effectively coordinate the relationship between different targets, avoid the one-sidedness caused by single-target control, and ensure that the energy storage system can not only help maintain the stable operation of the power grid, but also take into account its own performance and life, and achieve overall collaborative optimization;

[0115] 2. Based on the continuously acquired energy storage system and grid status data, further expansion steps such as control effect evaluation, system status prediction and early warning, strategy optimization and parameter adjustment can be carried out in the future, so that the control method can dynamically adapt to changes in various internal and external factors such as energy storage system aging, grid load changes, and distributed energy access according to actual operating conditions, timely discover potential problems and issue early warnings, optimize control strategies, and thus improve the reliability of the entire energy storage system and grid operation and reduce the probability of failures;

[0116] 3. If the energy storage system has a collaborative operation relationship with other energy systems or equipment, it can interact and coordinate with them after completing its own regulation, and reasonably allocate energy flow and information flow, such as coordinating solar energy, wind power generation, electric vehicle charging and other links. It can make full use of the regulation capacity of the energy storage system, so that the entire energy system can flexibly arrange energy storage, release and use according to the load conditions of the power grid, improve the comprehensive utilization efficiency of energy, and better meet diverse electricity needs.

[0117] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0118] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1A device that provides the functions specified in a block or multiple blocks.

[0119] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0120] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0121] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for controlling an energy storage system based on multi-objective coordinated operation, characterized in that: The control objectives of the energy storage system include: power balance objective, voltage regulation objective and charge and discharge depth objective. The control method includes the following steps: Acquire the status data of the energy storage system and the status data of the energy storage system connected to the power grid in the current control cycle, wherein the status data of the energy storage system includes: charge state, health state and temperature value, and the status data of the power grid includes: power value, voltage value and frequency value; Calculating a comprehensive evaluation value of the operating state of the energy storage system in the current control cycle based on the state data of the energy storage system and the state data of the power grid; Based on the comprehensive evaluation value of the operating status, combined with the status data of the energy storage system and the status data of the power grid, a priority control target is determined, and the energy storage system is controlled to control the priority control target in the next control cycle.

2. The energy storage system control method based on multi-objective coordinated operation according to claim 1 is characterized in that: The step of combining the state data of the energy storage system and the state data of the power grid to determine a priority control target includes: When the actual frequency deviation value of the power grid is greater than the frequency deviation threshold or the actual power deviation value is greater than the power deviation threshold, and the comprehensive evaluation value of the operating state is greater than or equal to the first comprehensive evaluation threshold, controlling the energy storage system to preferentially adjust the power balance target; When the actual voltage deviation value of the power grid is greater than the voltage deviation threshold and the comprehensive evaluation value of the operating state is greater than or equal to the second comprehensive evaluation threshold and less than the first comprehensive evaluation threshold, controlling the energy storage system to preferentially adjust the voltage regulation target; When the state of charge value in the energy storage system is less than the lower limit of the state of charge threshold or greater than the upper limit of the state of charge threshold, the temperature value is less than the lower limit of the temperature threshold or greater than the upper limit of the temperature threshold, and the comprehensive evaluation value of the operating status is less than the second comprehensive evaluation threshold, the energy storage system is controlled to prioritize the charge and discharge depth target.

3. The energy storage system control method based on multi-objective coordinated operation according to claim 2 is characterized in that: The controlling the energy storage system to preferentially adjust the power balance target includes: According to the actual frequency deviation value and the actual power deviation value, an active power adjustment amount is calculated by adopting an active power-frequency droop control strategy; Based on the power converter of the energy storage system, the active power of the energy storage system is adjusted based on the active power adjustment amount to achieve power balance.

4. The energy storage system control method based on multi-objective coordinated operation according to claim 2 is characterized in that: The controlling the energy storage system to preferentially adjust the voltage regulation target includes: According to the actual voltage deviation value, a reactive power regulation amount is calculated by adopting a reactive power-voltage droop control strategy; Based on the charge state and health state of the several energy storage units of the energy storage system, allocating the reactive power adjustment amount to the several energy storage units of the energy storage system; Based on the power converter of the energy storage system, the reactive power of the plurality of energy storage units is adjusted accordingly.

5. The energy storage system control method based on multi-objective coordinated operation according to claim 2 is characterized in that: The controlling the energy storage system to preferentially adjust the charge and discharge depth target includes: When the state of charge value in the energy storage system is less than the lower limit of the state of charge threshold, controlling the energy storage system to reduce discharge or start charging; When the state of charge value in the energy storage system is greater than the upper limit of the state of charge threshold, controlling the energy storage system to reduce charging or start discharging; When the temperature value in the energy storage system is less than the lower limit of the temperature threshold, reducing the charging and discharging power or starting the heating device of the energy storage system; When the temperature value in the energy storage system is greater than the upper temperature threshold, the charging and discharging power is reduced or the cooling device of the energy storage system is started.

6. The energy storage system control method based on multi-objective coordinated operation according to any one of claims 1 to 5, characterized in that: The calculation formula of the comprehensive evaluation value of the operating status is: Among them, SE x is the comprehensive evaluation value of the operating status of the xth control cycle, SOC x is the real-time value of the state of charge in the xth control cycle, SOC min The minimum state of charge, SOC max is the maximum state of charge, SOH x is the real-time value of the health status in the xth control cycle, T x is the real-time temperature value of the xth control cycle, T opt For T max is the upper temperature threshold, T min is the lower limit of temperature threshold, P x is the real-time power value of the xth control cycle, P rated is the rated power value, V x is the real-time voltage value of the xth control cycle, V rated is the rated voltage value, f x is the real-time value of the frequency in the xth control cycle, f rated is the rated frequency value, i, j, k, l, p, t are the number of groups of corresponding adjustment coefficients for state of charge, health state, temperature, power, voltage, and frequency, respectively, a i , b i 、c i d j 、e j 、f j , g k 、h k 、i k 、m l 、n l , o l ,q p 、r p 、s p 、u t 、v t 、w t They are adjustment coefficients respectively, used to adjust the sensitivity and nonlinearity of their respective corresponding parameters to the comprehensive evaluation value of the operating status.

7. The energy storage system control method based on multi-objective coordinated operation according to claim 6 is characterized in that: The state of charge of the energy storage system is an average value of the states of charge of the plurality of energy storage units; The health status of the energy storage system is the average health status of the plurality of energy storage units; The temperature value of the energy storage system is the average temperature value of the several energy storage units.

8. An electronic device, characterized in that: include: at least one processor; And a memory connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor executes the energy storage system control method based on multi-objective collaborative operation as described in any one of claims 1-7.

9. A computer-readable storage medium, characterized in that: Computer instructions are stored thereon, and when the instructions are executed by a processor, an energy storage system control method based on multi-objective collaborative operation as described in any one of claims 1-7 is implemented.

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