Power distribution method and device of energy storage system and computer equipment

Abstract

The invention relates to the technical field of energy storage power station multi-converter grid connection, and discloses a power distribution method and device of an energy storage system and computer equipment, and the power distribution method of the energy storage system comprises the steps: determining a first target number according to the mean value of the grid connection total power of the energy storage system and the target transmission power; if the second target number of the energy storage converters meeting the preset charge state condition is smaller than the first target number, the second target number serves as the initial energy storage converter number; determining a comprehensive health state score according to the performance index data, the environment temperature data, the reliability value and the coupling degree of each battery pack; determining a plurality of initial transmission powers according to the comprehensive health state score and the grid-connected total power; and if the plurality of initial transmission powers meet the preset power condition, distributing the powers according to the initial transmission powers. According to the method, the more accurate comprehensive health state score is determined, the power is distributed for the energy storage converters, and the accuracy and rationality of power distribution are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of multi-converter grid-connected energy storage power stations, and in particular to a power distribution method, device and computer equipment for an energy storage system. Background Art

[0002] With the rapid development of renewable energy sources such as solar and wind power, their application in various fields is becoming increasingly widespread. However, when applied to power systems, the intermittent and fluctuating nature of renewable energy poses significant challenges to the stable operation of the power grid. For example, solar power cannot generate electricity at night, and wind power is significantly affected by weather, resulting in unstable power generation. These characteristics make it difficult to accurately match power supply with demand, affecting the stability and reliability of the power grid.

[0003] When there is excess renewable energy generation, the energy storage system can store electricity. When there is insufficient renewable energy generation, the energy storage system can release electricity, thereby adjusting the balance of electricity supply and demand. During the operation of the energy storage system, the battery pack of the energy storage system needs to be dynamically evaluated and adjusted to ensure the normal operation of the energy storage system.

[0004] In the related art, the method for evaluating and adjusting the battery pack of the energy storage system is to evaluate the health status of the battery pack based on the operating parameters of the battery pack. However, the factors that affect the health status of the battery pack are not limited to the operating parameters of the battery pack. Therefore, the health status evaluation of the battery pack in the related art is inaccurate and does not conform to the actual situation. Due to the inaccurate health status evaluation of the battery pack, the allocation of the energy storage converter of the energy storage system is also inaccurate, which may cause damage to the battery pack. Summary of the Invention

[0005] In view of this, the present invention provides a power distribution method, device and computer equipment for an energy storage system to solve the problems of inaccurate health status assessment and inaccurate allocation of energy storage converters of the energy storage system caused by the methods of evaluating and adjusting the battery packs of the energy storage system in the related art.

[0006] In a first aspect, the present invention provides a power distribution method for an energy storage system, comprising: determining a first target number of energy storage converters participating in power regulation in the energy storage system according to the total grid-connected power of the energy storage system and the average of the target transmission powers of multiple energy storage converters in the energy storage system; the target transmission power is the minimum transmission power; obtaining a second target number of energy storage converters that meet a preset state of charge condition in the energy storage system, judging whether the second target number is less than the first target number, and if the second target number is less than the first target number, using the second target number as the initial number of energy storage converters; determining the initial number of energy storage converters according to the performance index data of the battery pack corresponding to each energy storage converter, the ambient temperature data, the reliability value of each battery in the battery pack, and the degree of coupling of the batteries working in parallel in the battery pack. The method comprises the following steps: determining the comprehensive health status scores of the battery groups corresponding to the energy storage converters of the energy storage system; determining the grid-connected power allocation weight of each energy storage converter in the energy storage system according to the comprehensive health status score of the battery group corresponding to each energy storage converter and the total comprehensive health status score of multiple energy storage converters in the energy storage system; determining the initial transmission power of each energy storage converter in the energy storage system according to the total grid-connected power of the energy storage system and the grid-connected power allocation weight of each energy storage converter in the energy storage system; judging whether the initial transmission powers of multiple energy storage converters in the energy storage system all meet the preset power conditions; if the initial transmission powers of multiple energy storage converters in the energy storage system all meet the preset power conditions, allocating the total grid-connected power of the energy storage system to the energy storage converters of the initial number of energy storage converters according to the initial transmission power.

[0007] The present invention determines a first target number of energy storage converters participating in power regulation in the energy storage system based on the total grid-connected power of the energy storage system and the average of the target transmission powers of multiple energy storage converters in the energy storage system. In the energy storage system, the present invention uses the average of the target transmission powers of multiple energy storage converters in the energy storage system to avoid considering the different minimum powers output by each energy storage converter individually. The present invention determines a second target number based on the state of charge condition, accurately screening out energy storage converters that meet the state of charge condition, operate normally, and have an appropriate number to participate in power regulation, thereby avoiding the blind investment of energy storage converters and improving resource utilization efficiency. The present invention determines the comprehensive health status scores of the battery groups corresponding to the energy storage converters of the initial number of energy storage converters based on the performance index data of the battery group corresponding to each energy storage converter, the ambient temperature data, the reliability value of each battery in the battery group, and the coupling degree of the batteries working in parallel in the battery group. The present invention uses the ambient temperature data as a factor independent of the traditional performance index data, and combines the reliability value of each battery in the battery group and the coupling degree of the batteries working in parallel in the battery group to determine the comprehensive health status scores of the battery groups corresponding to the energy storage converters. The influence of the external temperature environment is taken into account. By quantifying the coupling degree between the two batteries, the strength of the coupling between the batteries is intuitively reflected, and the interactions such as thermal coupling and electrical coupling between the batteries are fully considered, and the mutual influence between the batteries is accurately reflected, thereby achieving more accurate battery health assessment. The present invention determines the grid-connected power allocation weight for each energy storage converter in the energy storage system based on the comprehensive health status score of the battery pack corresponding to each energy storage converter and the total comprehensive health status score of multiple energy storage converters in the energy storage system. Furthermore, the initial transmission power of each energy storage converter in the energy storage system is determined based on the total grid-connected power of the energy storage system and the grid-connected power allocation weight of each energy storage converter in the energy storage system. This makes the determined initial transmission power of each energy storage converter in the energy storage system more accurate, takes into account the health status of each energy storage converter, prevents excessive use of the energy storage converter and battery pack, and thus extends the service life of the energy storage converter and battery pack. The present invention determines whether the initial transmission power meets the preset power conditions, ensures that the total grid-connected power can be reasonably allocated to the energy storage converter, improves the effectiveness and accuracy of the energy storage system power allocation, and improves the operating efficiency of the power system. Compared with related technologies, the present invention more accurately assesses the health status of the battery pack. Therefore, through a more accurate comprehensive health status score, power is allocated to multiple energy storage converters, improving the accuracy and rationality of power allocation.

[0008] In an optional embodiment, a first target number of energy storage converters participating in power regulation in the energy storage system is determined based on the total grid-connected power of the energy storage system and the average of the target transmission powers of multiple energy storage converters in the energy storage system, including: determining the total power value based on the sum of the target transmission powers of multiple energy storage converters in the energy storage system; obtaining the average of the target transmission power based on the quotient of the total power value and the total number of energy storage converters in the energy storage system; obtaining a quotient value based on the quotient of the total grid-connected power of the energy storage system and the average of the target transmission power; and rounding down the quotient value to obtain the first target number of energy storage converters participating in power regulation in the energy storage system.

[0009] In an optional embodiment, the preset state of charge condition includes a discharge state of charge condition and a charge state of charge condition, and obtaining a second target number of energy storage converters in the energy storage system that meet the preset state of charge condition includes: when the energy storage system is in a discharge state, obtaining the number of energy storage converters that do not meet the discharge state of charge condition, and obtaining the second target number based on the difference between the total number of energy storage converters in the energy storage system and the number of energy storage converters that do not meet the discharge state of charge condition; when the energy storage system is in a charge state, obtaining the number of energy storage converters that do not meet the charge state of charge condition, and obtaining the second target number based on the difference between the total number of energy storage converters in the energy storage system and the number of energy storage converters that do not meet the charge state of charge condition.

[0010] In an optional embodiment, the power distribution method of the energy storage system further includes: if the second target number is greater than or equal to the first target number, using the first target number as the initial energy storage converter number.

[0011] In an optional embodiment, the comprehensive health status scores of the battery groups corresponding to the energy storage converters of the initial number of energy storage converters are determined based on the performance index data of the battery group corresponding to each energy storage converter, the ambient temperature data, the reliability value of each battery in the battery group, and the coupling degree of the batteries working in parallel in the battery group, including: determining the performance index deviation of the battery group corresponding to each energy storage converter based on each performance index data and the best performance index data of the battery group corresponding to each energy storage converter; determining the ambient temperature deviation of the battery group corresponding to each energy storage converter based on the ambient temperature data and the best ambient temperature data; summing the performance index deviation and the ambient temperature deviation, taking the square root of the first summation result to obtain the target deviation; summing the target deviations of the battery groups corresponding to multiple energy storage converters to obtain the overall deviation; obtaining the target deviation of each energy storage converter based on the quotient of the target deviation of the battery group corresponding to each energy storage converter and the overall deviation. health status value of the battery pack corresponding to the converter; obtain a product result based on the product of the coupling degree of the batteries working in parallel in the battery pack and the reliability value of each battery in the battery pack; sum the product results of multiple batteries in the battery pack to obtain a second summation result; obtain the battery failure probability based on the difference between the preset value and the reliability value of each battery in the battery pack; sum the battery failure probability and the second summation result to obtain a third summation result; perform a product operation on the third summation result of multiple batteries in the battery pack to obtain a product operation result; obtain the stability value of the battery pack corresponding to each energy storage converter based on the difference between the preset value and the product operation result; obtain a first product result based on the product of the health status value and the first weight coefficient, and obtain a second product result based on the product of the stability value and the second weight coefficient; obtain the comprehensive health status score of the battery pack corresponding to the energy storage converters of the initial number of energy storage converters based on the sum of the first product result and the second product result.

[0012] The present invention integrates multi-source data. When determining the ambient temperature data, in addition to considering the performance index data of the battery itself, the ambient temperature data is also considered. The ambient temperature data indirectly affects the health of the battery by affecting the electrochemical reaction rate inside the battery, the conductivity of the electrolyte, etc. The present invention lists the ambient temperature data separately to more clearly reveal the difference between the impact of external environmental factors and the internal performance indicators of the battery on the battery health assessment. The present invention evaluates the health of the battery based on the performance index data of the battery itself and the ambient temperature data, which is more in line with the actual application scenario. The present invention takes into account the coupling effect between batteries, and incorporates factors such as the health status value and the reliability value into the comprehensive health status score of the battery pack, so that the comprehensive health status score is more in line with the actual operating conditions of the energy storage system, and enhances the adaptability to actual complex working conditions, so that the obtained comprehensive health status score is more accurate and more in line with the actual situation.

[0013] In an optional embodiment, the grid-connected power allocation weight of each energy storage converter in the energy storage system is determined according to the comprehensive health status score of the battery pack corresponding to each energy storage converter and the total comprehensive health status scores of multiple energy storage converters in the energy storage system, and the initial transmission power of each energy storage converter in the energy storage system is determined according to the total grid-connected power of the energy storage system and the grid-connected power allocation weight of each energy storage converter in the energy storage system, including: obtaining the grid-connected power allocation weight of each energy storage converter in the energy storage system according to the quotient of the comprehensive health status score of the battery pack corresponding to each energy storage converter and the total comprehensive health status scores of multiple energy storage converters in the energy storage system; and determining the initial transmission power of each energy storage converter in the energy storage system according to the quotient of the total grid-connected power of the energy storage system and the grid-connected power allocation weight of each energy storage converter in the energy storage system.

[0014] In an optional embodiment, the power distribution method of the energy storage system further includes: if there is a first target transmission power that does not meet the preset power condition among the initial transmission powers of multiple energy storage converters in the energy storage system, and the first target transmission power is greater than or equal to the maximum transmission power, obtaining the target grid-connected total power according to the difference between the total grid-connected power of the energy storage system and the first target transmission power; obtaining the first target number of energy storage converters according to the difference between the initial number of energy storage converters and the number of first target energy storage converters corresponding to the first target transmission power; updating the first target transmission power to the maximum transmission power, and distributing the target grid-connected total power to the energy storage converters with the first target number of energy storage converters; if there is a second target transmission power that does not meet the preset power condition among the initial transmission powers of multiple energy storage converters in the energy storage system, and the second target transmission power is less than or equal to the minimum transmission power, obtaining the second target number of energy storage converters according to the difference between the initial number of energy storage converters and the number of second target energy storage converters corresponding to the second target transmission power; and distributing the total grid-connected power of the energy storage system to the energy storage converters with the second target number of energy storage converters.

[0015] The present invention sequentially determines the relationship between the initial transmission power of each energy storage inverter and the preset power conditions, and redistributes power based on the determination results. If the initial transmission power of any energy storage inverter does not meet the preset power conditions, the power setting of the energy storage inverter is adjusted, and the total grid-connected power borne by the energy storage system is adjusted accordingly, and then the remaining power is redistributed. Through this continuous adjustment and distribution process, the total power borne by each energy storage inverter is equal to the total grid-connected power required by the energy storage system, ensuring power balance and meeting the power requirements of the power grid.

[0016] In an optional embodiment, after allocating the total grid-connected power of the energy storage system to the energy storage converters of the initial number of energy storage converters according to the initial transmission power, the method further includes: monitoring the voltage of the battery group corresponding to each energy storage converter, and when abnormal information is detected, performing balancing processing on the abnormal battery group.

[0017] The present invention monitors the voltage of the battery pack corresponding to each energy storage converter. When abnormal information is detected, the abnormal battery pack is balanced. In actual operation, due to factors such as measurement errors and equipment response delays, there may be certain slight deviations in power distribution. The present invention monitors the voltage of the battery pack corresponding to each energy storage converter and balances the abnormal battery pack to ensure the accuracy of power distribution.

[0018] In a second aspect, the present invention provides a power distribution device for an energy storage system, comprising: a first quantity determination module, for determining a first target quantity of energy storage converters participating in power regulation in the energy storage system according to the total grid-connected power of the energy storage system and the average of the target transmission powers of multiple energy storage converters in the energy storage system; the target transmission power is the minimum transmission power; an initial quantity determination module, for obtaining a second target quantity of energy storage converters that meet a preset state of charge condition in the energy storage system, and determining whether the second target quantity is less than the first target quantity; if the second target quantity is less than the first target quantity, using the second target quantity as the initial quantity of energy storage converters; a health scoring module, for determining the energy storage system according to the performance index data of the battery pack corresponding to each energy storage converter, the ambient temperature data, the reliability value of each battery in the battery pack, and the degree of coupling of the batteries working in parallel in the battery pack. The comprehensive health status scores of the battery groups corresponding to the energy storage converters of the initial number of energy storage converters are as follows: an initial power determination module, which is used to determine the grid-connected power allocation weight of each energy storage converter in the energy storage system according to the comprehensive health status score of the battery group corresponding to each energy storage converter and the total comprehensive health status scores of multiple energy storage converters in the energy storage system, and to determine the initial transmission power of each energy storage converter in the energy storage system according to the total grid-connected power of the energy storage system and the grid-connected power allocation weight of each energy storage converter in the energy storage system; a power allocation module, which is used to determine whether the initial transmission powers of multiple energy storage converters in the energy storage system meet the preset power conditions; if the initial transmission powers of multiple energy storage converters in the energy storage system meet the preset power conditions, the total grid-connected power of the energy storage system is allocated to the energy storage converters of the initial number of energy storage converters according to the initial transmission power.

[0019] In a third aspect, the present invention provides a computer device comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the power distribution method for an energy storage system according to the first aspect or any corresponding embodiment thereof by executing the computer instructions. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in related technologies, the following briefly introduces the drawings required for use in the specific embodiments or related technical descriptions. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0021] Figure 1 4 is a flow chart of a power distribution method for an energy storage system according to an embodiment of the present invention.

[0022] Figure 2 4 is a flow chart of another power distribution method for an energy storage system according to an embodiment of the present invention.

[0023] Figure 3 4 is a flow chart of another power distribution method for an energy storage system according to an embodiment of the present invention.

[0024] Figure 4 4 is a structural block diagram of a power distribution device of an energy storage system according to an embodiment of the present invention.

[0025] Figure 5 Schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts shall fall within the scope of protection of the present invention.

[0027] With the rapid development of renewable energy sources such as solar and wind power, their share in the energy sector continues to increase. However, the intermittent and fluctuating nature of renewable energy poses significant challenges to the stable operation of the power grid. For example, solar power cannot generate electricity at night, and wind power is significantly affected by weather, resulting in unstable power generation. These characteristics make it difficult to accurately match power supply with demand, impacting the stability and reliability of the power grid.

[0028] Energy storage systems can store electricity during periods of excess renewable energy generation and release it during periods of insufficient generation, thereby balancing power supply and demand and improving grid stability and reliability. Energy storage systems also play a central role in smart grids, microgrids, and distributed energy systems, helping to achieve efficient energy utilization and optimal allocation.

[0029] However, the related art method for evaluating and adjusting battery packs in energy storage systems assesses the health status of the battery pack based on its operating parameters. However, factors that affect the health status of a battery pack are not limited to its operating parameters. On the one hand, the related art fails to fully consider the impact of external environmental factors on battery health when evaluating battery health status, and cannot fully reflect the impact of the external environment on battery performance. External ambient temperature has a significant impact on battery performance. Excessively high or low temperatures can accelerate battery aging and reduce battery performance. Therefore, the accuracy of the evaluation results in the related art is low. On the other hand, the related art fails to extract and consider the trends of battery performance indicators over time, making it difficult to capture the changes in battery performance during long-term use. For example, battery internal resistance typically increases with age. If this trend characteristic is not considered, it is difficult to accurately reflect the actual changes in battery performance when evaluating the battery health status, which may lead to lag or deviation in the evaluation results. In addition, the stability determination of battery packs in the related art is based on the assumption that the reliability of each parallel battery is independent under ideal conditions, and does not consider the actual thermal and electrical coupling between batteries. In a battery pack, the heat generated by a battery under thermal coupling will increase the temperature of surrounding batteries, change their internal chemical reaction rates, and affect battery life and reliability. Electrical coupling will cause uneven current distribution, affecting the overall performance of the battery pack.

[0030] Due to inaccurate assessment of the health status of the battery pack, the allocation of energy storage converters in the energy storage system is also inaccurate, which may cause damage to the battery pack.

[0031] An embodiment of the present invention provides a power distribution method for an energy storage system, which distributes power to multiple energy storage converters by determining a more accurate comprehensive health status score, thereby improving the accuracy and rationality of power distribution.

[0032] According to an embodiment of the present invention, an embodiment of a power distribution method for an energy storage system is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0033] In this embodiment, a power distribution method for an energy storage system is provided, which can be used for computer equipment. Figure 1 FIG. 1 is a flow chart of a power distribution method for an energy storage system according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0034] Step S101: Determine a first target number of energy storage converters participating in power control in the energy storage system based on the total grid-connected power of the energy storage system and the average of the target transmission powers of multiple energy storage converters in the energy storage system; the target transmission power is the minimum transmission power.

[0035] The total grid-connected power of an energy storage system is the total power that the energy storage system can transmit to or absorb from the grid when connected to the grid. During grid-connected operation, the output power of the power generation equipment needs to be synchronized with the frequency and phase of the grid to ensure stable transmission of electrical energy. For example, a photovoltaic grid-connected inverter converts direct current (DC) into alternating current (AC) and connects it to the grid. The output AC power can be returned to the mains. The power factor of the photovoltaic grid-connected inverter is generally required to be 1 to ensure that the ratio of the output active power to the apparent power is 1. The energy storage converter (PCS) is a device used to realize power conversion and control between the energy storage system and the grid. It is mainly used to convert power between direct current (DC) and alternating current (AC) to achieve energy exchange between the energy storage system and the grid or load. In large-scale wind power or photovoltaic energy storage systems, multiple PCSs are usually used in parallel to meet the capacity requirements of the large-scale energy storage system and improve the flexibility and reliability of the energy storage system. The target transmission power is the preset minimum transmission power of the energy storage converter.

[0036] In some optional implementations, the maximum transmission power of the PCS is generally set to the rated operating power. Operation of the PCS within the rated power range can ensure the efficient and stable operation of the energy storage system, avoid problems such as efficiency reduction, increased heat and equipment loss caused by overload operation, and reasonably set the maximum transmission power to help improve the overall reliability and service life of the energy storage system; in the energy storage system, the minimum transmission power of the PCS refers to the minimum power value that the energy storage inverter can stably output during operation. The minimum transmission power of the PCS is usually set by the equipment manufacturer based on factors such as battery type, inverter design and system requirements.

[0037] In some optional embodiments, a first target number of energy storage converters participating in power regulation in the energy storage system is determined based on the total grid-connected power of the energy storage system and the average of the target transmission powers of multiple energy storage converters in the energy storage system, including: obtaining a quotient value based on the quotient of the total grid-connected power of the energy storage system and the average of the target transmission powers of multiple energy storage converters in the energy storage system, rounding down the quotient value, and obtaining the first target number of energy storage converters participating in power regulation in the energy storage system.

[0038] Among them, in the energy storage system, if the minimum transmission power setting output of each PCS is different, using the average of the target transmission powers of multiple energy storage converters in the energy storage system can avoid considering the different minimum powers output by each PCS one by one, simplifying the calculation process. If the minimum transmission power of the PCS in the energy storage system is not much different, the average of the target transmission powers of multiple energy storage converters in the energy storage system can be used as a suitable approximate value, which is mainly suitable for scenarios when the energy storage system is large in scale and the performance differences of each PCS are small.

[0039] Step S102: Obtain a second target number of energy storage converters that meet a preset state of charge condition in the energy storage system, determine whether the second target number is less than the first target number, and if so, use the second target number as the initial number of energy storage converters.

[0040] Among them, the preset state of charge condition is the state of charge condition that the battery pack corresponding to the energy storage converter needs to meet in advance. The preset state of charge condition includes a discharge state of charge condition and a charge state of charge condition. The discharge state of charge condition is greater than or equal to the minimum discharge state allowed by the battery pack. When the state of charge of the battery pack after discharge is less than the minimum discharge state allowed by the battery pack, the battery enters the over-discharge zone, which means that the battery has entered a deep discharge state, which may cause accelerated battery capacity decay and intensified polarization, and even affect the battery life. Staying in this state for a long time may cause irreversible damage to the internal material structure of the battery, increasing safety risks; the charge state of charge condition is less than or equal to the maximum charge state allowed by the battery pack. When the state of charge of the battery pack after charging is greater than the maximum charge state allowed by the battery pack, the battery will be in an overcharged state. Overcharging may cause the internal temperature of the battery to rise, resulting in lithium plating, affecting the safety and cycle life of the battery. In severe cases, it may even cause thermal runaway and lead to safety accidents. For example, the discharge state of charge condition is greater than or equal to 20%, and the charge state of charge condition is less than or equal to 95%.

[0041] In some optional embodiments, obtaining a second target number of energy storage converters that meet a preset state of charge condition in the energy storage system includes: obtaining the number of energy storage converters that do not meet the preset state of charge condition, and obtaining the second target number based on the difference between the total number of energy storage converters in the energy storage system and the number of energy storage converters that do not meet the discharge state of charge condition.

[0042] Specifically, the preset state of charge condition includes a discharge state of charge condition and a charge state of charge condition, and obtaining a second target number of energy storage converters that meet the preset state of charge condition in the energy storage system includes: when the energy storage system is in a discharge state, obtaining the number of energy storage converters that do not meet the discharge state of charge condition, and obtaining the second target number based on the difference between the total number of energy storage converters in the energy storage system and the number of energy storage converters that do not meet the discharge state of charge condition; when the energy storage system is in a charge state, obtaining the number of energy storage converters that do not meet the charge state of charge condition, and obtaining the second target number based on the difference between the total number of energy storage converters in the energy storage system and the number of energy storage converters that do not meet the charge state of charge condition.

[0043] Exemplarily, when the energy storage system is in a discharging state, the formula for determining the second target quantity is:

[0044] C td =NC tdw

[0045] Among them, C td is the second target number when the energy storage system is in the discharge state at time point t, N is the total number of energy storage converters in the energy storage system, C tdw It is the number of energy storage converters that do not meet the discharge charge state condition at time t, that is, the number of energy storage converters corresponding to the battery packs in the energy storage system whose charge state is less than the minimum discharge state (20%) allowed by the battery pack when the energy storage system is in the discharge state at time t.

[0046] When the energy storage system is in a charging state, the formula for determining the second target quantity is:

[0047] C tc =NC tcw

[0048] Among them, C tc is the second target number when the energy storage system is in the charging state at time point t, N is the total number of energy storage converters in the energy storage system, C tcw It is the number of energy storage converters that do not meet the charging state of charge condition at time t, that is, the number of energy storage converters corresponding to the battery packs in the energy storage system whose state of charge is greater than the maximum discharge state allowed by the battery pack (95%) when the energy storage system is in the charging state at time t.

[0049] In some optional embodiments, determining whether the second target quantity is less than the first target quantity, and if the second target quantity is less than the first target quantity, using the second target quantity as the initial energy storage converter quantity includes: when the energy storage system is in a discharging state, determining whether the second target quantity of the energy storage system when in the discharging state is less than the first target quantity, if the second target quantity of the energy storage system when in the discharging state is less than the first target quantity, using the second target quantity as the initial energy storage converter quantity, and if the second target quantity of the energy storage system when in the discharging state is greater than or equal to the first target quantity, using the first target quantity as the initial energy storage converter quantity; when the energy storage system is in a charging state, determining whether the second target quantity of the energy storage system when in the charging state is less than the first target quantity, if the second target quantity of the energy storage system when in the charging state is less than the first target quantity, using the second target quantity as the initial energy storage converter quantity, and if the second target quantity of the energy storage system when in the charging state is greater than or equal to the first target quantity, using the first target quantity as the initial energy storage converter quantity.

[0050] Exemplarily, when the energy storage system is in a discharging state, the formula for determining the initial number of energy storage converters is:

[0051] C td ≥C(t) zg , C' td =C(t) zg

[0052] C td <C(t) zg , C' td =C td

[0053] Among them, C td is the second target quantity at time t when the energy storage system is in the discharging state, C(t) ag is the first target number of energy storage converters involved in power regulation in the energy storage system, C' td is the initial number of energy storage converters when the energy storage system is in the discharging state.

[0054] When the energy storage system is in the charging state, the formula for determining the initial number of energy storage converters is:

[0055] C tc ≥C(t) zg , C' tc =C(t) zg

[0056] C tc <C(t) zg , C' tc =C tc

[0057] Among them, C tc is the second target quantity when the energy storage system is in the charging state at time point t, C(t) zg is the first target number of energy storage converters involved in power regulation in the energy storage system, C' tc is the initial number of energy storage converters when the energy storage system is in the charging state.

[0058] Step S103, determining the comprehensive health status scores of the battery packs corresponding to the energy storage converters of the initial number of energy storage converters based on the performance indicator data of the battery pack corresponding to each energy storage converter, the ambient temperature data, the reliability value of each battery in the battery pack, and the coupling degree of the batteries working in parallel in the battery pack.

[0059] Among them, the performance index data of the battery pack is an important basis for measuring the performance of the battery pack. The performance index data of the battery pack includes data such as internal resistance, grid response speed, battery operating temperature, cycle efficiency, power density, charging efficiency and discharge efficiency; the ambient temperature data is the external ambient temperature of the battery pack; the reliability value of each battery in the battery pack is the proportion of the time when the battery pack cannot work normally due to various faults within a certain time range to the total operating time; the coupling degree of batteries working in parallel in the battery pack is the degree of mutual influence and correlation between the batteries working in parallel in the battery pack in terms of electrical, thermal and other aspects.

[0060] In some optional embodiments, the comprehensive health status scores of the battery groups corresponding to the energy storage converters of the initial number of energy storage converters are determined based on the performance index data of the battery group corresponding to each energy storage converter, the ambient temperature data, the reliability value of each battery in the battery group, and the coupling degree of the batteries working in parallel in the battery group, including: determining the performance index deviation of the battery group corresponding to each energy storage converter based on each performance index data and the best performance index data of the battery group corresponding to each energy storage converter; determining the ambient temperature deviation of the battery group corresponding to each energy storage converter based on the ambient temperature data and the best ambient temperature data; summing the performance index deviation and the ambient temperature deviation, taking the square root of the first summation result to obtain the target deviation; summing the target deviations of the battery groups corresponding to multiple energy storage converters to obtain the overall deviation; obtaining the target deviation of each energy storage converter based on the quotient of the target deviation of the battery group corresponding to each energy storage converter and the overall deviation. health status value of the battery pack corresponding to the converter; obtain a product result based on the product of the coupling degree of the batteries working in parallel in the battery pack and the reliability value of each battery in the battery pack; sum the product results of multiple batteries in the battery pack to obtain a second summation result; obtain the battery failure probability based on the difference between the preset value and the reliability value of each battery in the battery pack; sum the battery failure probability and the second summation result to obtain a third summation result; perform a product operation on the third summation result of multiple batteries in the battery pack to obtain a product operation result; obtain the stability value of the battery pack corresponding to each energy storage converter based on the difference between the preset value and the product operation result; obtain a first product result based on the product of the health status value and the first weight coefficient, and obtain a second product result based on the product of the stability value and the second weight coefficient; obtain the comprehensive health status score of the battery pack corresponding to the energy storage converters of the initial number of energy storage converters based on the sum of the first product result and the second product result.

[0061] Step S104: Determine the grid-connected power allocation weight of each energy storage converter in the energy storage system based on the comprehensive health status score of the battery pack corresponding to each energy storage converter and the total comprehensive health status score of multiple energy storage converters in the energy storage system, and determine the initial transmission power of each energy storage converter in the energy storage system based on the total grid-connected power of the energy storage system and the grid-connected power allocation weight of each energy storage converter in the energy storage system.

[0062] In some optional embodiments, the grid-connected power allocation weight of each energy storage converter in the energy storage system is determined based on the comprehensive health status score of the battery pack corresponding to each energy storage converter and the total comprehensive health status scores of multiple energy storage converters in the energy storage system, and the initial transmission power of each energy storage converter in the energy storage system is determined based on the total grid-connected power of the energy storage system and the grid-connected power allocation weight of each energy storage converter in the energy storage system, including: obtaining the grid-connected power allocation weight of each energy storage converter in the energy storage system based on the quotient of the comprehensive health status score of the battery pack corresponding to each energy storage converter and the total comprehensive health status scores of multiple energy storage converters in the energy storage system; and determining the initial transmission power of each energy storage converter in the energy storage system based on the quotient of the total grid-connected power of the energy storage system and the grid-connected power allocation weight of each energy storage converter in the energy storage system.

[0063] For example, the formula for determining the grid-connected power allocation weight is:

[0064]

[0065] Among them, W r is the grid-connected power allocation weight of the rth associated energy storage converter, E r is the comprehensive health status score of the battery pack corresponding to the rth associated energy storage converter, E i is the comprehensive health status score of the battery pack corresponding to the i-th associated energy storage converter, and L is the total number of actually associated energy storage converters.

[0066] In some optional implementations, the grid-connected power allocation weights need to satisfy the following constraints:

[0067] W 1+ W2+...+W r +...W L =1

[0068]

[0069] Among them, W r is the grid-connected power allocation weight of the rth associated energy storage converter, W L is the grid-connected power allocation weight of the Lth associated energy storage converter, C' td is the initial number of energy storage converters when the energy storage system is in the discharge state, C' tc is the initial number of energy storage converters when the energy storage system is in the charging state.

[0070] Exemplarily, the formula for determining the initial transmission power is:

[0071]

[0072] Among them, P tr0 is the initial transmission power of the rth associated energy storage converter, W r is the grid-connected power allocation weight of the rth associated energy storage converter, P grid is the total grid-connected power of the energy storage system.

[0073] In an embodiment of the present invention, the grid-connected power allocation weight of each energy storage converter in the energy storage system is obtained based on the quotient of the comprehensive health status score of the battery pack corresponding to each energy storage converter and the total comprehensive health status score of multiple energy storage converters in the energy storage system. This reflects the comprehensive score value of the relative capability and health status of each energy storage converter in the energy storage system, ensures that the power allocation matches the actual capability of each PCS, avoids excessive or insufficient load, and ensures the fairness and rationality of power allocation; allocating power according to the capability of each PCS can effectively balance the load of the energy storage system, extend the life of the equipment, and reduce the probability of failure. The sum of the weights is 1, which meets the basic constraints of power allocation, ensures that the total grid-connected power is completely and reasonably allocated to each PCS, and avoids omission or duplication of power allocation.

[0074] Step S105, determining whether the initial transmission powers of multiple energy storage converters in the energy storage system all meet the preset power conditions; if the initial transmission powers of multiple energy storage converters in the energy storage system all meet the preset power conditions, the total grid-connected power of the energy storage system is distributed to the energy storage converters of the initial number according to the initial transmission power.

[0075] The preset power condition is a preset power range condition for normal operation of the energy storage converter. For example, the preset power condition may be greater than the minimum transmission power and less than the maximum transmission power, that is, the preset power condition may be (P rmin , P rmax ).

[0076] In some optional embodiments, if there is a first target transmission power that does not meet the preset power condition among the initial transmission powers of multiple energy storage converters in the energy storage system, and the first target transmission power is greater than or equal to the maximum transmission power, the target grid-connected total power is obtained according to the difference between the total grid-connected power of the energy storage system and the first target transmission power; the first target number of energy storage converters is obtained according to the difference between the initial number of energy storage converters and the number of first target energy storage converters corresponding to the first target transmission power; the first target transmission power is updated to the maximum transmission power, and the target grid-connected total power is allocated to the energy storage converters with the first target number of energy storage converters; if there is a second target transmission power that does not meet the preset power condition among the initial transmission powers of multiple energy storage converters in the energy storage system, and the second target transmission power is less than or equal to the minimum transmission power, the second target number of energy storage converters is obtained according to the difference between the initial number of energy storage converters and the number of second target energy storage converters corresponding to the second target transmission power; the total grid-connected power of the energy storage system is allocated to the energy storage converters with the second target number of energy storage converters.

[0077] In some optional implementations, when the energy storage system is in a discharging state, it is determined whether the initial transmission powers of multiple energy storage converters in the energy storage system all meet the preset power conditions. If P is satisfied rmin <P tr0 <P rmax , the total grid-connected power of the energy storage system is calculated according to the initial transmission power P tr0 The number of energy storage converters allocated to the initial td energy storage converter; if there is a first target transmission power that does not meet the preset power condition among the initial transmission powers of multiple energy storage converters in the energy storage system, and the first target transmission power is greater than or equal to the maximum transmission power, that is, And P tj0 ≥P jmax , according to the difference between the total grid-connected power of the energy storage system and the first target transmission power, the target grid-connected total power is obtained; according to the initial number of energy storage converters C' td The difference between the number of first target energy storage converters corresponding to the first target transmission power and the first target energy storage converter number is obtained; the first target transmission power is updated to the maximum transmission power P rmax , the target total grid-connected power is allocated to the energy storage converters with the first target number of energy storage converters. If the initial transmission power of multiple energy storage converters in the energy storage system has a second target transmission power that does not meet the preset power condition, and the second target transmission power is less than or equal to the minimum transmission power, that is, And P tj0 ≤P jmin , according to the initial number of energy storage converters C' tdThe second target number of energy storage converters is obtained by calculating the difference between the number of the second target energy storage converters and the number of the second target energy storage converters corresponding to the second target transmission power; and the total grid-connected power of the energy storage system is distributed to the energy storage converters having the second target number of energy storage converters.

[0078] In some optional implementations, when the energy storage system is in a charging state, it is determined whether the initial transmission powers of multiple energy storage converters in the energy storage system all meet the preset power conditions. If P is satisfied rmin <P tr0 <P rmax , the total grid-connected power of the energy storage system is calculated according to the initial transmission power P tr0 The number of energy storage converters allocated to the initial tc energy storage converter; if there is a first target transmission power that does not meet the preset power condition among the initial transmission powers of multiple energy storage converters in the energy storage system, and the first target transmission power is greater than or equal to the maximum transmission power, that is, And P te0 ≥P emax , according to the difference between the total grid-connected power of the energy storage system and the first target transmission power, the target grid-connected total power is obtained; according to the initial number of energy storage converters C' tc The difference between the number of first target energy storage converters corresponding to the first target transmission power and the first target energy storage converter number is obtained; the first target transmission power is updated to the maximum transmission power P emax , the target total grid-connected power is allocated to the energy storage converters with the first target number of energy storage converters. If the initial transmission power of multiple energy storage converters in the energy storage system has a second target transmission power that does not meet the preset power condition, and the second target transmission power is less than or equal to the minimum transmission power, that is, And P te0 ≤P emin , according to the initial number of energy storage converters C' tc The second target number of energy storage converters is obtained by calculating the difference between the number of the second target energy storage converters and the number of the second target energy storage converters corresponding to the second target transmission power; and the total grid-connected power of the energy storage system is distributed to the energy storage converters having the second target number of energy storage converters.

[0079] For example, assuming that when the energy storage system is in a discharging state, the initial number of energy storage converters in a certain energy storage system is C' td There are 5 units (numbered PCS1-PCS5), and the minimum transmission power P is set in the discharge state. rmin =10KW, maximum transmission power P rmax =40KW, the total grid-connected power borne by the energy storage system is P grid =150KW, the initial transmission power of each energy storage converter PCS is: P t10=30KW, P t20 =25KW, P t30 =35KW, P t40 =20KW, P t50 =40KW, at this time, for each P tr0 All satisfy P rmin <P tr0 <P rmax , then the number of energy storage converters allocated to the total grid-connected power to be carried is C' td =5, the transmission power of each associated energy storage converter is the initial transmission power.

[0080] Assume that due to the change of power load, short circuit and open circuit faults in the power grid, and the different power regulation issues from the power grid dispatching center to the energy storage system based on the operation status of the entire power grid, power generation plan and power demand, the total grid-connected power borne by the energy storage system becomes P grid =200KW, the initial transmission power of each energy storage converter PCS after redistribution is: P t10 =50KW, P t20 =30KW, P t30 =40KW, P t40 =40KW, P t50 =40KW, where the initial transmission power of PCS1 is P t10 =50KW>P rmax , so the initial transmission power of PCS1 is updated to P t10 =40KW, the total grid-connected power borne by the energy storage system is P grid = 200KW Reduce the power allocated to PCS1 by 40KW and the power exceeding P rmax The total grid-connected power borne by the energy storage system is updated to P grid =150KW, update the number of energy storage converters required to carry the total grid-connected power to C' td =4, the total grid-connected power P borne by the energy storage system grid = 150KW is distributed to the 4 energy storage converters that need to carry the total grid-connected power. After redistribution, we get: P t10 =40KW, P t20 =35KW, P t30 =40KW, P t40 =40KW, P t50 =35KW.

[0081] Assume that due to the change of power load, short circuit and open circuit faults in the power grid, and the different power regulation issues from the power grid dispatching center to the energy storage system based on the operation status of the entire power grid, power generation plan and power demand, the total grid-connected power borne by the energy storage system becomes P grid =220KW, the initial transmission power of each energy storage converter PCS after redistribution is: P t10 =15KW, P t20 =10KW, P t30 =50KW, P t40 =40KW, P t50 =115KW, where the initial transmission power of PCS2 is P t20 =10KW=P rmin Therefore, PCS2 is removed and does not carry the total grid-connected power. At this time, the number of energy storage converters that need to carry the total grid-connected power is updated to C' td =4, where the initial transmission power of PCS3 is P t30 =50KW>P rmax , so the initial transmission power of PCS3 is updated to P t30 =40KW, and the total grid-connected power borne by the energy storage system is updated to P grid =170KW, update the number of energy storage converters required to carry the total grid-connected power to C' td =3, where the initial transmission power P of PCS5 t50 =115KW>P rmax , so the initial transmission power of PCS5 is updated to P t50 =40KW, and the total grid-connected power borne by the energy storage system is updated to P grid =55KW, update the number of energy storage converters required to carry the total grid-connected power to C' td =2, P grid = 55KW is distributed to 2 energy storage converters, and after redistribution, we get: P t10 =25KW, P t30 =40KW, P t40 =30KW, P t50 =40KW.

[0082] The present invention sequentially determines the relationship between the initial transmission power of each energy storage inverter and the preset power conditions, and redistributes power based on the determination results. If the initial transmission power of any energy storage inverter does not meet the preset power conditions, the power setting of the energy storage inverter is adjusted, and the total grid-connected power borne by the energy storage system is adjusted accordingly, and then the remaining power is redistributed. Through this continuous adjustment and distribution process, the total power borne by each energy storage inverter is equal to the total grid-connected power required by the energy storage system, ensuring power balance and meeting the power requirements of the power grid.

[0083] In the embodiment of the present invention, the degree of aging of the battery pack is closely related to multiple factors, especially the charge and discharge current and the ambient temperature. First, with respect to the charge and discharge current, the magnitude of the current during the charge and discharge process of the battery directly affects the chemical reaction rate of the battery. When the charge and discharge current is large, the electrolyte and electrode materials inside the battery will undergo a more violent reaction, resulting in faster battery aging. This effect is usually nonlinear, that is, when the current increases, not only does the aging rate of the battery accelerate, but this acceleration process also becomes more and more obvious. Secondly, the ambient temperature. The battery generates heat during the charge and discharge process. The increase in battery temperature will accelerate the chemical reaction inside the battery, causing the battery aging to intensify. High temperature will cause the battery electrolyte to evaporate and the electrode material to deform or degrade, ultimately affecting the battery capacity and cycle life. The effect of temperature is also nonlinear, that is, the higher the temperature, the faster the battery ages, and every time the temperature rises to a certain level, the battery aging rate will accelerate a lot. As the battery is used for a longer time, its internal resistance will gradually increase. This is due to the chemical reactions inside the battery and the gradual deterioration of the electrode materials. At the same time, the battery pack is composed of multiple single cells connected in series and parallel. When the internal resistance of the cells in a battery pack increases due to aging, its performance will decline. Correspondingly, the overall efficiency of the battery pack will also be affected. Since the battery pack is a collection of multiple batteries, the energy loss of the battery pack is not only affected by the performance of the single cells, but also by the overall load, parallel or series batteries. Therefore, the degree of battery aging is closely related to factors such as charge and discharge current, ambient temperature, and internal resistance changes. By reducing the output power of the PCS in the energy storage system and reducing the charge and discharge current, the battery life can be effectively extended and the battery temperature can be reduced, thereby reducing the accelerated battery aging caused by high temperature and high current, and improving the reliability and safety of the energy storage system. Therefore, in the embodiment of the present invention, when performing power distribution, the output power of each PCS is made as small as possible to protect the battery pack.

[0084] The power allocation method for the energy storage system provided in this embodiment determines a first target number of energy storage converters participating in power regulation in the energy storage system based on the total grid-connected power of the energy storage system and the average of the target transmission powers of multiple energy storage converters in the energy storage system. In the energy storage system, the embodiment of the present invention uses the average of the target transmission powers of multiple energy storage converters in the energy storage system to avoid considering the different minimum powers output by each energy storage converter one by one. The embodiment of the present invention determines the second target number in combination with the state of charge condition, accurately screening out energy storage converters that meet the state of charge condition, operate normally, and have an appropriate number to participate in power regulation, thereby avoiding the blind investment of energy storage converters and improving resource utilization efficiency. The embodiment of the present invention determines the comprehensive health status scores of the battery groups corresponding to the energy storage converters of the initial number of energy storage converters based on the performance index data of the battery group corresponding to each energy storage converter, the ambient temperature data, the reliability value of each battery in the battery group, and the coupling degree of the batteries working in parallel in the battery group. The embodiment of the present invention uses the ambient temperature data as a factor independent of the traditional performance index data, and combines the reliability value of each battery in the battery group and the coupling degree of the batteries working in parallel in the battery group to determine the comprehensive health status scores of the battery groups corresponding to the energy storage converters. The influence of the external temperature environment is taken into account. By quantifying the coupling degree between the two batteries, the strength of the coupling between the batteries is intuitively reflected, and the interactions such as thermal coupling and electrical coupling between the batteries are fully considered, and the mutual influence between the batteries is accurately reflected, thereby achieving more accurate battery health assessment. The embodiment of the present invention determines the grid-connected power allocation weight of each energy storage converter in the energy storage system based on the comprehensive health status score of the battery pack corresponding to each energy storage converter and the total comprehensive health status score of multiple energy storage converters in the energy storage system. Furthermore, the initial transmission power of each energy storage converter in the energy storage system is determined based on the total grid-connected power of the energy storage system and the grid-connected power allocation weight of each energy storage converter in the energy storage system. This makes the determined initial transmission power of each energy storage converter in the energy storage system more accurate, takes into account the health status of each energy storage converter, prevents excessive use of the energy storage converter and battery pack, and thus extends the service life of the energy storage converter and battery pack. The embodiment of the present invention determines whether the initial transmission power meets the preset power conditions, ensures that the total grid-connected power can be reasonably allocated to the energy storage converter, improves the effectiveness and accuracy of the power allocation of the energy storage system, and improves the operating efficiency of the power system. Compared with related technologies, the embodiment of the present invention more accurately assesses the health status of the battery pack. Therefore, through a more accurate comprehensive health status score, power is allocated to multiple energy storage converters, improving the accuracy and rationality of power allocation.

[0085] In this embodiment, a power distribution method for an energy storage system is provided, which can be used for computer equipment. Figure 2 FIG. 1 is a flow chart of another power distribution method for an energy storage system according to an embodiment of the present invention. Figure 2As shown, the process includes the following steps:

[0086] Step S201: Determine a first target number of energy storage converters participating in power control in the energy storage system based on the total grid-connected power of the energy storage system and the average of the target transmission powers of multiple energy storage converters in the energy storage system; the target transmission power is the minimum transmission power.

[0087] Specifically, the above step S201 includes:

[0088] Step S2011: determine the total power value according to the sum of the target transmission powers of multiple energy storage converters in the energy storage system; and obtain the average value of the target transmission power according to the quotient of the total power value and the total number of energy storage converters in the energy storage system.

[0089] Step S2012: Obtain a quotient value based on the quotient of the total grid-connected power of the energy storage system and the average of the target transmission power; round down the quotient value to obtain a first target number of energy storage converters participating in power regulation in the energy storage system.

[0090] Exemplarily, the formula for determining the first target quantity is:

[0091]

[0092] Where C(t) zg is the first target number of energy storage converters participating in power regulation in the energy storage system at time t, P(t) grid is the total grid-connected power of the energy storage system at time t, N is the total number of energy storage converters in the energy storage system, P imin is the minimum transmission power of the i-th energy storage converter in the energy storage system.

[0093] Step S202: Obtain a second target number of energy storage converters that meet a preset state of charge condition in the energy storage system, determine whether the second target number is less than the first target number, and if the second target number is less than the first target number, use the second target number as the initial energy storage converter number. Figure 1 Step S102 of the illustrated embodiment will not be described in detail here.

[0094] Step S203 , determining the comprehensive health status scores of the battery packs corresponding to the energy storage converters of the initial number of energy storage converters based on the performance indicator data of the battery pack corresponding to each energy storage converter, the ambient temperature data, the reliability value of each battery in the battery pack, and the coupling degree of the batteries working in parallel in the battery pack.

[0095] Specifically, the above step S203 includes:

[0096] Step S2031: Determine the performance index deviation of the battery pack corresponding to each energy storage inverter based on each performance index data and the optimal performance index data of the battery pack corresponding to each energy storage inverter; determine the ambient temperature deviation of the battery pack corresponding to each energy storage inverter based on the ambient temperature data and the optimal ambient temperature data; sum the performance index deviation and the ambient temperature deviation, and take the square root of the first summation result to obtain the target deviation.

[0097] Step S2032: summing the target deviations of the battery packs corresponding to the multiple energy storage converters to obtain an overall deviation; and obtaining a health status value of the battery pack corresponding to each energy storage converter based on the quotient of the target deviation of the battery pack corresponding to each energy storage converter and the overall deviation.

[0098] Step S2033, obtaining a product result based on the product of the coupling degree of the batteries working in parallel in the battery pack and the reliability value of each battery in the battery pack; summing the product results of multiple batteries in the battery pack to obtain a second summation result; obtaining the battery failure probability based on the difference between the preset value and the reliability value of each battery in the battery pack; summing the battery failure probability and the second summation result to obtain a third summation result; performing a product operation on the third summation result of multiple batteries in the battery pack to obtain a product operation result; obtaining the stability value of the battery pack corresponding to each energy storage converter based on the difference between the preset value and the product operation result.

[0099] Step S2034: obtain a first product result based on the product of the health status value and the first weight coefficient, and obtain a second product result based on the product of the stability value and the second weight coefficient; and obtain a comprehensive health status score of the battery group corresponding to the energy storage converters of the initial number of energy storage converters based on the sum of the first product result and the second product result.

[0100] Exemplarily, the formula for determining the comprehensive health status scores of the battery packs corresponding to the energy storage converters of the initial number of energy storage converters is:

[0101] E i,t =α1SH i,t +α2SR i,t

[0102]

[0103] Among them, E i,t is the comprehensive health status score of the i-th battery pack at time point t, α1 is the first weight coefficient, SH i,t is the health status value of the i-th battery pack at time t, α2 is the second weight coefficient, SR i,t is the stability value of the i-th battery pack at time point t, is the qth performance indicator data of the i-th battery pack at time point t, is the optimal performance index data corresponding to the qth performance index data of the i-th battery pack at time t, W q is the weight coefficient of the qth performance indicator data, G is the total number of performance indicator data, T t is the ambient temperature data at time t, T0 is the optimal ambient temperature data at time t, W t is the weight coefficient of the ambient temperature data, M is the total number of battery packs, r i,v is the reliability value of the vth battery in the i-th battery pack when working in parallel, C fv is the coupling degree between the fth battery and the vth battery working in parallel in the same battery pack, r i,f is the reliability value of the f-th battery working in parallel in the i-th battery pack, and V is the total number of batteries working in parallel in the battery pack.

[0104] In some optional embodiments, r i,v The reliability value of the vth battery in the i-th battery pack operating in parallel is obtained by long-term recording of the operating parameters of multiple batteries in each battery pack under different operating conditions (such as different charge and discharge currents, temperatures, and humidity environments), including voltage, current, internal resistance, and charge and discharge cycles. For example, the operating parameters are continuously collected and stored in a database through a battery management system. Battery failure events are recorded and analyzed in detail, such as the time and number of occurrences of battery overcharge, overdischarge, and short circuit failures. The proportion of the battery's non-operating time due to various failures to the total operating time within a certain time range is calculated as a reference indicator for measuring its reliability value. Based on the collected operating parameters, failure events, and proportions, the reliability value is determined using the mean time between failures. That is, the average time interval between two consecutive failures of the battery over a period of time is calculated and converted into a reliability value. For example, assuming that the battery has experienced n failures in the past T hours, the mean time between failures (MTBF) = T / n. The mean time between failures is then input into a relevant reliability model (such as an exponential distribution model) to obtain the reliability value of the battery at a specific moment in time.

[0105] In the embodiment of the present invention, the health status value of the battery changes dynamically, and the influence of each performance indicator data on the health status value of the battery will also change at different stages. By assigning weight coefficients W to different performance indicator data, q, reflecting the different importance of different performance indicator data in battery health assessment, and adjusting the weight coefficient of each performance indicator data according to the real-time status of the battery. For example, in the early stage of battery use, the internal resistance change has little effect on the health status value. As the use time increases, the impact of the internal resistance change gradually increases. At this time, the weight coefficient of the internal resistance indicator can be dynamically increased to more accurately evaluate the battery health status value according to the actual application scenario.

[0106] In the embodiment of the present invention, the structure of the battery pack is relatively complex. The battery pack is composed of a large number of single cells connected in series and in parallel. In the actual structure, after a plurality of single cells are connected in series to form a battery cell group, they are then connected in parallel with other battery cells or battery cell groups. From the perspective of circuit principles, this process can be simplified and understood as two battery nodes operating in parallel. Based on this characteristic, when calculating the reliability value of the battery pack, the battery cells in series can be regarded as equivalent to a node in a parallel system, and the entire battery pack can be equivalent to a battery pack system composed of multiple battery cells or battery cell groups connected in parallel. In view of the mutual influence factors such as thermal coupling and electrical coupling between batteries in actual situations, the coupling coefficient matrix C is introduced. fv , represents the coupling degree between the fth battery and the vth battery working in parallel in the same battery pack, C fv The value range is between 0 and 1. A value of 0 means that the two batteries are independent of each other and there is no coupling phenomenon, while a value of 1 means that the degree of coupling between the two batteries is the strongest.

[0107] Step S204: Determine the grid-connected power allocation weight of each energy storage converter in the energy storage system based on the comprehensive health status score of the battery pack corresponding to each energy storage converter and the total comprehensive health status score of multiple energy storage converters in the energy storage system. Determine the initial transmission power of each energy storage converter in the energy storage system based on the total grid-connected power of the energy storage system and the grid-connected power allocation weight of each energy storage converter in the energy storage system. For details, see Figure 1 Step S104 of the illustrated embodiment will not be described in detail here.

[0108] Step S205: Determine whether the initial transmission powers of multiple energy storage converters in the energy storage system all meet the preset power conditions. If the initial transmission powers of multiple energy storage converters in the energy storage system all meet the preset power conditions, the total grid-connected power of the energy storage system is distributed to the energy storage converters of the initial number according to the initial transmission power. Figure 1 Step S105 of the illustrated embodiment will not be described in detail here.

[0109] Step S206 , monitoring the voltage of the battery pack corresponding to each energy storage converter, and performing balancing processing on the abnormal battery pack when abnormal information is detected.

[0110] Among them, after the total grid-connected power of the energy storage system is distributed to the energy storage converters of the initial number of energy storage converters according to the initial transmission power, the energy storage converter outputs power to the battery pack. The battery pack may not be able to accurately withstand the power output by the energy storage converter during operation. Therefore, the voltage of the battery pack corresponding to each energy storage converter is monitored. When abnormal information is detected, a balancing instruction is generated to balance the battery pack with the abnormality, so that the battery pack can accurately withstand the power output by the energy storage converter during operation.

[0111] In some optional implementations, the balancing instruction includes information about the batteries to be balanced, target parameters for balancing (such as target voltage value, target capacity difference, etc.), and the type of balancing operation (charging balancing, discharging balancing, or passive balancing).

[0112] In some optional embodiments, a comprehensive health status score of the battery pack is calculated based on real-time data. If the comprehensive health status score is lower than a preset comprehensive health threshold, it indicates that the overall performance of the battery pack is poor. Even if the battery cell voltages are within the voltage safety range, as long as there is a voltage difference, a self-warning balancing operation is started to lower the threshold for triggering the balancing operation due to battery cell voltage deviation, thereby preventing further degradation of the battery pack performance in advance.

[0113] In some optional embodiments, if the comprehensive health status score is greater than or equal to a preset comprehensive health threshold, it indicates that the overall performance of the battery pack is good. At this time, when the current voltage of each battery cell in the battery is within the voltage safety range, and the current voltage of some battery cells is too high or too low, discharge balancing is turned on for the battery cells with a high current voltage, or passive balancing resistance is turned on for passive balancing, and charge balancing is turned on for the battery cells with a low current voltage, so that the voltage of the battery cells with a high or low current voltage is adjusted to the average voltage; when the current voltage of some battery cells in the battery is already outside the voltage safety range and is too high, the alarm mechanism is triggered and discharge balancing and passive balancing resistance are turned on for the battery cells to increase The battery cell voltage is quickly brought back to a normal safety range, and then discharge balancing is started for the battery cell with a currently high voltage, or passive balancing resistance is turned on for passive balancing, and charge balancing is started for the battery cell with a currently low voltage, so that the voltage of the battery cell with a currently high or low voltage is adjusted to the average voltage; when the current voltage of some battery cells in the battery is already low and outside the voltage safety range, charge balancing is started for the battery cell to accelerate the voltage of the battery cell to rise to a normal range, and then discharge balancing is started for the battery cell with a currently high voltage, or passive balancing resistance is turned on for passive balancing, and charge balancing is started for the battery cell with a currently low voltage, so that the voltage of the battery cell with a currently high or low voltage is adjusted to the average voltage.

[0114] The present invention determines whether the voltage is too high or too low by comparing it with the average voltage. Specifically, the average voltage of all battery cells in the battery is first calculated. If the voltage of a battery cell is higher than a preset proportion of this average value, it is defined as a high voltage; if it is lower than the preset proportion of the average value, it is defined as a low voltage.

[0115] By performing balancing operations on the battery pack, the embodiments of the present invention can detect the potential performance degradation risk of the battery pack in advance, take intervention measures in the early stage of poor overall performance of the battery pack, and avoid further deterioration of the battery pack state. The embodiments of the present invention respectively formulate detailed balancing operation strategies. This refined strategy can perform precise balancing adjustments according to the actual state of the battery pack, avoid limited balancing methods, improve the efficiency and pertinence of balancing operations, and better maintain the performance and life of the battery pack.

[0116] The power allocation method for the energy storage system provided in this embodiment integrates multi-source data. When determining the ambient temperature data, in addition to considering the performance index data of the battery itself, the ambient temperature data is also considered. The ambient temperature data indirectly affects the health of the battery by affecting the electrochemical reaction rate inside the battery, the conductivity of the electrolyte, etc. The present invention lists the ambient temperature data separately to more clearly reveal the difference between the impact of external environmental factors and the internal performance indicators of the battery on the battery health assessment. The present invention evaluates the health of the battery based on the performance index data of the battery itself and the ambient temperature data, which is more in line with the actual application scenario. The present invention takes into account the coupling effect between batteries, and incorporates factors such as the health status value and the reliability value into the comprehensive health status score of the battery pack, so that the comprehensive health status score is more in line with the actual operating conditions of the energy storage system, enhances the adaptability to actual complex working conditions, and makes the obtained comprehensive health status score more accurate and more in line with the actual situation. The embodiment of the present invention monitors the voltage of the battery pack corresponding to each energy storage converter. When abnormal information is detected, the abnormal battery pack is balanced. In actual operation, due to factors such as measurement errors and equipment response delays, there may be certain slight deviations in power distribution. The present invention monitors the voltage of the battery pack corresponding to each energy storage converter and balances the abnormal battery pack to ensure the accuracy of power distribution.

[0117] In this embodiment, a power distribution method for an energy storage system is provided, which can be used for computer equipment. Figure 3 FIG. 1 is a flow chart of another power distribution method for an energy storage system according to an embodiment of the present invention. Figure 3 As shown, the process includes the following steps:

[0118] Step S301 : setting the maximum transmission power and the minimum transmission power of all energy storage converters in the energy storage system, and setting the corresponding lower discharge limit and upper charge limit of all battery groups.

[0119] The maximum transmission power of the PCS is generally set to the rated operating power. Operating the PCS within the rated power range can ensure efficient and stable operation of the energy storage system, avoiding problems such as decreased efficiency, increased heat, and equipment loss caused by overload operation. Reasonable setting of the maximum transmission power helps to improve the overall reliability and service life of the energy storage system. In the energy storage system, the minimum transmission power of the PCS refers to the minimum power value that the energy storage inverter can stably output during operation. The minimum transmission power of the PCS is usually set by the equipment manufacturer based on factors such as battery type, inverter design, and system requirements.

[0120] Illustratively, the lower discharge limit is 20% and the upper charge limit is 95%.

[0121] Step S302: Analyze the maximum number of grid-connected energy storage converters in the energy storage system at the corresponding time based on the minimum transmission power of each energy storage converter and the total grid-connected power of the energy storage system collected at each time point. Figure 1 Steps S101 and S102 of the embodiment shown Figure 2 Step S201 of the illustrated embodiment will not be described in detail here.

[0122] Step S303: Based on the performance index data of all battery packs at different time points, the corresponding weight coefficients are introduced to calculate the health status values ​​of all battery packs at different time points. Figure 2 Step S203 of the illustrated embodiment will not be described in detail here.

[0123] Step S304: Determine the comprehensive health status score of all battery packs at the corresponding time point based on the health status value combined with the stability value of all battery packs at different time points. Figure 2 Step S203 of the illustrated embodiment will not be described in detail here.

[0124] Step S305: Obtain the number of energy storage converters that are associated and operated when the energy storage system is in the discharging state and the charging state at different time points, and analyze the initial number of energy storage converters that are actually associated and operated in the discharging state and the charging state according to the maximum number of energy storage converters. Figure 1 Step S102 of the illustrated embodiment will not be described in detail here.

[0125] Step S306: Based on the comprehensive health status score, the grid-connected power in the energy storage system is allocated to each actually connected energy storage converter, and the initial transmission power values ​​of all grid-connected energy storage converters are analyzed. Figure 1 Step S104 of the illustrated embodiment will not be described in detail here.

[0126] Step S307: Redistribute the power by comparing the initial transmission power of each actually associated energy storage converter with the set maximum transmission power and minimum transmission power until the number of actually associated energy storage converters in operation and the corresponding grid-connected power at a certain point in time is determined. Figure 1 Step S105 of the illustrated embodiment will not be described in detail here.

[0127] Step S308: Real-time acquisition of the total power consumption of each battery pack connected to each energy storage converter. When abnormal information of the battery cell voltage is detected, the battery pack with the abnormality is balanced. Figure 2 Step S206 of the illustrated embodiment will not be described in detail here.

[0128] This embodiment also provides a power distribution device for an energy storage system, which is used to implement the above-mentioned embodiments and preferred embodiments. Details already described will not be repeated here. As used below, the term "module" may refer to a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.

[0129] This embodiment provides a power distribution device for an energy storage system, such as Figure 4 As shown, including:

[0130] The first quantity determination module 401 is used to determine a first target number of energy storage converters participating in power control in the energy storage system based on the total grid-connected power of the energy storage system and the average of the target transmission powers of multiple energy storage converters in the energy storage system; the target transmission power is the minimum transmission power.

[0131] The initial quantity determination module 402 is used to obtain a second target quantity of energy storage converters that meet a preset state of charge condition in the energy storage system, determine whether the second target quantity is less than the first target quantity, and if so, use the second target quantity as the initial energy storage converter quantity.

[0132] The health scoring module 403 is used to determine the comprehensive health status scores of the battery groups corresponding to the energy storage converters of the initial number of energy storage converters based on the performance indicator data of the battery group corresponding to each energy storage converter, the ambient temperature data, the reliability value of each battery in the battery group, and the coupling degree of the batteries working in parallel in the battery group.

[0133] The initial power determination module 404 is used to determine the grid-connected power allocation weight of each energy storage converter in the energy storage system based on the comprehensive health status score of the battery pack corresponding to each energy storage converter and the total comprehensive health status score of multiple energy storage converters in the energy storage system, and to determine the initial transmission power of each energy storage converter in the energy storage system based on the total grid-connected power of the energy storage system and the grid-connected power allocation weight of each energy storage converter in the energy storage system.

[0134] The power allocation module 405 is used to determine whether the initial transmission powers of multiple energy storage converters in the energy storage system meet the preset power conditions. If the initial transmission powers of multiple energy storage converters in the energy storage system meet the preset power conditions, the total grid-connected power of the energy storage system is allocated to the energy storage converters of the initial number of energy storage converters according to the initial transmission power.

[0135] In some optional implementations, the first quantity determining module 401 includes:

[0136] The total power value determining unit is used to determine the total power value according to the sum of the target transmission powers of multiple energy storage converters in the energy storage system.

[0137] The mean value determination unit is used to obtain the mean value of the target transmission power according to the quotient of the total power value and the total number of energy storage converters in the energy storage system.

[0138] The quotient value determining unit is configured to obtain a quotient value based on a quotient of the total grid-connected power of the energy storage system and an average of the target transmission power.

[0139] The rounding unit is used to round down the quotient to obtain a first target number of energy storage converters participating in power regulation in the energy storage system.

[0140] In some optional implementations, the initial quantity determination module 402 includes:

[0141] The discharge state unit is used to obtain the number of energy storage converters that do not meet the discharge charge state condition when the energy storage system is in the discharge state, and obtain the second target number according to the difference between the total number of energy storage converters in the energy storage system and the number of energy storage converters that do not meet the discharge charge state condition.

[0142] The charging state unit is used to obtain the number of energy storage converters that do not meet the charging state of charge condition when the energy storage system is in a charging state, and obtain a second target number based on the difference between the total number of energy storage converters in the energy storage system and the number of energy storage converters that do not meet the charging state of charge condition.

[0143] In some optional embodiments, the power distribution device of the energy storage system further includes:

[0144] The initial quantity determining unit is configured to use the first target quantity as the initial energy storage converter quantity according to the second target quantity being greater than or equal to the first target quantity.

[0145] In some optional implementations, the health scoring module 403 includes:

[0146] The target deviation determination unit is used to determine the performance indicator deviation of the battery pack corresponding to each energy storage inverter based on each performance indicator data and the optimal performance indicator data of the battery pack corresponding to each energy storage inverter; determine the ambient temperature deviation of the battery pack corresponding to each energy storage inverter based on the ambient temperature data and the optimal ambient temperature data; sum the performance indicator deviation and the ambient temperature deviation, and square the first summation result to obtain the target deviation.

[0147] The health status value determination unit is used to sum the target deviations of the battery groups corresponding to multiple energy storage converters to obtain an overall deviation; and obtain the health status value of the battery group corresponding to each energy storage converter according to the quotient of the target deviation of the battery group corresponding to each energy storage converter and the overall deviation.

[0148] The stability value determination unit is configured to obtain a product result based on the product of the degree of coupling of batteries operating in parallel in the battery pack and the reliability value of each battery in the battery pack; sum the product results of multiple batteries in the battery pack to obtain a second summation result; obtain a battery failure probability based on the difference between a preset value and the reliability value of each battery in the battery pack; sum the battery failure probability and the second summation result to obtain a third summation result; perform a product operation on the third summation result of multiple batteries in the battery pack to obtain a product operation result; and obtain a stability value of the battery pack corresponding to each energy storage converter based on the difference between the preset value and the product operation result.

[0149] The comprehensive health status score determination unit is used to obtain a first product result based on the product of the health status value and the first weight coefficient, and to obtain a second product result based on the product of the stability value and the second weight coefficient; and to obtain the comprehensive health status score of the battery group corresponding to the energy storage converters of the initial number of energy storage converters based on the sum of the first product result and the second product result.

[0150] In some optional implementations, the initial power determination module 404 includes:

[0151] The grid-connected power allocation weight determination unit is used to obtain the grid-connected power allocation weight of each energy storage converter in the energy storage system based on the quotient of the comprehensive health status score of the battery pack corresponding to each energy storage converter and the total comprehensive health status scores of multiple energy storage converters in the energy storage system.

[0152] The initial power determination unit is used to determine the initial transmission power of each energy storage converter in the energy storage system according to the quotient of the total grid-connected power of the energy storage system and the grid-connected power allocation weight of each energy storage converter in the energy storage system.

[0153] In some optional embodiments, the power distribution device of the energy storage system further includes:

[0154] The first calculation unit is configured to obtain the target grid-connected total power based on the difference between the total grid-connected power of the energy storage system and the first target transmission power when a first target transmission power that does not meet a preset power condition exists among the initial transmission powers of multiple energy storage converters in the energy storage system and the first target transmission power is greater than or equal to the maximum transmission power; and obtain the first target number of energy storage converters based on the difference between the initial number of energy storage converters and the number of the first target energy storage converters corresponding to the first target transmission power.

[0155] The first allocating unit is configured to update the first target transmission power to the maximum transmission power, and allocate the target total grid-connected power to the energy storage converters having the first target number of energy storage converters.

[0156] The second calculation unit is used to obtain the second target number of energy storage converters according to the difference between the initial number of energy storage converters and the number of second target energy storage converters corresponding to the second target transmission power when there is a second target transmission power that does not meet the preset power condition in the initial transmission power of multiple energy storage converters in the energy storage system and the second target transmission power is less than or equal to the minimum transmission power.

[0157] The second allocation unit is configured to allocate the total grid-connected power of the energy storage system to energy storage converters having a second target number of energy storage converters.

[0158] In some optional embodiments, the power distribution device of the energy storage system further includes:

[0159] The self-warning balancing module is used to monitor the voltage of the battery pack corresponding to each energy storage converter. When abnormal information is detected, the battery pack with the abnormality is balanced.

[0160] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0161] The power distribution device of the energy storage system in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0162] The embodiment of the present invention also provides a computer device having the above Figure 4 The power distribution device of the energy storage system shown.

[0163] See also Figure 5 , Figure 5 is a structural diagram of a computer device provided by an optional embodiment of the present invention, such as Figure 5 As shown, the computer device includes: one or more processors 10, memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components utilize different buses to communicate with each other and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in the memory or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Equally, multiple computer devices can be connected, and each device provides part of the necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 5 A processor 10 is taken as an example.

[0164] The processor 10 may be a central processing unit, a network processor, or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic, or any combination thereof.

[0165] The memory 20 stores instructions that can be executed by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0166] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created based on the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0167] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0168] The computer device further includes a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0169] The embodiment of the present invention also provides a computer-readable storage medium. The above-mentioned method according to the embodiment of the present invention can be implemented in hardware, firmware, or implemented as a computer code that can be recorded in a storage medium, or implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memory. It can be understood that a computer, a processor, a microprocessor controller or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor or hardware, the method shown in the above embodiment is implemented.

[0170] A portion of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the form in which the computer program instruction exists in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc. Accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium that can be accessed by the computer.

[0171] Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention. Such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A power distribution method for an energy storage system, characterized in that: The method comprises: Determining a first target number of the energy storage converters participating in power regulation in the energy storage system according to the total grid-connected power of the energy storage system and the average of the target transmission powers of the multiple energy storage converters in the energy storage system; the target transmission power is the minimum transmission power; Obtaining a second target number of the energy storage converters in the energy storage system that meets a preset state of charge condition, determining whether the second target number is less than the first target number, and if the second target number is less than the first target number, using the second target number as the initial energy storage converter number; Determine the comprehensive health status scores of the battery packs corresponding to the energy storage converters of the initial number of energy storage converters according to the performance index data of the battery pack corresponding to each of the energy storage converters, the ambient temperature data, the reliability value of each battery in the battery pack, and the coupling degree of the batteries working in parallel in the battery pack; Determine the grid-connected power allocation weight of each energy storage converter in the energy storage system according to the comprehensive health status score of the battery pack corresponding to each energy storage converter and the total comprehensive health status score of multiple energy storage converters in the energy storage system, and determine the initial transmission power of each energy storage converter in the energy storage system according to the total grid-connected power of the energy storage system and the grid-connected power allocation weight of each energy storage converter in the energy storage system; Determine whether the initial transmission powers of the multiple energy storage converters in the energy storage system meet the preset power conditions. If the initial transmission powers of the multiple energy storage converters in the energy storage system meet the preset power conditions, distribute the total grid-connected power of the energy storage system to the energy storage converters with the initial number of energy storage converters according to the initial transmission power.

2. The method according to claim 1, characterized in that The determining, based on the total grid-connected power of the energy storage system and the average of the target transmission powers of the plurality of energy storage converters in the energy storage system, a first target number of the energy storage converters participating in power regulation in the energy storage system includes: determining a total power value according to the sum of the target transmission powers of the plurality of energy storage converters in the energy storage system; Obtaining an average value of the target transmission power according to a quotient of the total power value and the total number of the energy storage converters in the energy storage system; Obtaining a quotient value according to a quotient of the total grid-connected power of the energy storage system and an average of the target transmission power; The quotient is rounded down to obtain the first target number of the energy storage converters participating in power regulation in the energy storage system.

3. The method according to claim 1 or 2, characterized in that The preset state of charge condition includes a discharge state of charge condition and a charge state of charge condition, and obtaining a second target number of the energy storage converters in the energy storage system that meet the preset state of charge condition includes: When the energy storage system is in a discharging state, obtaining the number of energy storage converters that do not meet the discharge-charge state condition, and obtaining the second target number according to the difference between the total number of energy storage converters in the energy storage system and the number of energy storage converters that do not meet the discharge-charge state condition; When the energy storage system is in a charging state, the number of energy storage converters that do not meet the charging state of charge condition is obtained, and the second target number is obtained according to the difference between the total number of the energy storage converters in the energy storage system and the number of the energy storage converters that do not meet the charging state of charge condition.

4. The method according to claim 1 or 2, characterized in that The method further comprises: If the second target number is greater than or equal to the first target number, the first target number is used as the initial energy storage converter number.

5. The method according to claim 1 or 2, characterized in that Determining the comprehensive health status scores of the battery packs corresponding to the energy storage converters of the initial number of energy storage converters based on the performance index data of the battery pack corresponding to each of the energy storage converters, the ambient temperature data, the reliability value of each battery in the battery pack, and the coupling degree of the batteries working in parallel in the battery pack includes: Determining, based on each of the performance indicator data and the optimal performance indicator data of the battery pack corresponding to each of the energy storage converters, a performance indicator deviation of the battery pack corresponding to each of the energy storage converters; determining, based on the ambient temperature data and the optimal ambient temperature data, an ambient temperature deviation of the battery pack corresponding to each of the energy storage converters; summing the performance indicator deviation and the ambient temperature deviation, and taking the square root of the first summation result to obtain a target deviation; Summing the target deviations of the battery groups corresponding to the plurality of energy storage converters to obtain an overall deviation; obtaining a health status value of the battery group corresponding to each energy storage converter according to the quotient of the target deviation of the battery group corresponding to each energy storage converter and the overall deviation; A product result is obtained based on the product of the coupling degree of the batteries working in parallel in the battery pack and the reliability value of each battery in the battery pack; the product results of the multiple batteries in the battery pack are summed to obtain a second sum result; a battery failure probability is obtained based on the difference between a preset value and the reliability value of each battery in the battery pack; the battery failure probability is summed with the second sum result to obtain a third sum result; a product operation is performed on the third sum result of the multiple batteries in the battery pack to obtain a product operation result; and a stability value of the battery pack corresponding to each of the energy storage converters is obtained based on the difference between the preset value and the product operation result. A first product result is obtained based on the product of the health status value and the first weight coefficient, and a second product result is obtained based on the product of the stability value and the second weight coefficient; and a comprehensive health status score of the battery group corresponding to the energy storage converters of the initial number of energy storage converters is obtained based on the sum of the first product result and the second product result.

6. The method according to claim 1 or 2, characterized in that The method further comprises: determining the grid-connected power allocation weight of each energy storage converter in the energy storage system according to the comprehensive health status score of the battery pack corresponding to each energy storage converter and the total comprehensive health status score of the multiple energy storage converters in the energy storage system; and determining the initial transmission power of each energy storage converter in the energy storage system according to the total grid-connected power of the energy storage system and the grid-connected power allocation weight of each energy storage converter in the energy storage system, including: Obtaining a grid-connected power allocation weight of each energy storage converter in the energy storage system according to a quotient of a comprehensive health status score of the battery pack corresponding to each energy storage converter and a total value of the comprehensive health status scores of the plurality of energy storage converters in the energy storage system; The initial transmission power of each energy storage converter in the energy storage system is determined according to the quotient of the total grid-connected power of the energy storage system and the grid-connected power allocation weight of each energy storage converter in the energy storage system.

7. The method according to claim 1 or 2, characterized in that The method further comprises: If there is a first target transmission power that does not meet the preset power condition among the initial transmission powers of the plurality of energy storage converters in the energy storage system, and the first target transmission power is greater than or equal to the maximum transmission power, the target grid-connected total power is obtained according to the difference between the total grid-connected power of the energy storage system and the first target transmission power; the first target number of energy storage converters is obtained according to the difference between the number of the initial energy storage converters and the number of the first target energy storage converters corresponding to the first target transmission power; Updating the first target transmission power to the maximum transmission power, and allocating the target grid-connected total power to the energy storage converters having the first target number of energy storage converters; If there is a second target transmission power that does not meet the preset power condition among the initial transmission powers of the plurality of energy storage converters in the energy storage system, and the second target transmission power is less than or equal to the minimum transmission power, obtaining a second target number of energy storage converters according to a difference between the initial number of energy storage converters and the second target number of energy storage converters corresponding to the second target transmission power; The total grid-connected power of the energy storage system is distributed to the energy storage converters having the second target number of energy storage converters.

8. The method according to claim 1 or 2, characterized in that After allocating the total grid-connected power of the energy storage system to the energy storage converters having the initial number of energy storage converters according to the initial transmission power, the method further includes: The voltage of the battery pack corresponding to each energy storage converter is monitored, and when abnormal information is detected, the battery pack with the abnormality is balanced.

9. A power distribution device for an energy storage system, characterized in that: The device comprises: A first quantity determination module is configured to determine a first target quantity of the energy storage converters participating in power control in the energy storage system according to the total grid-connected power of the energy storage system and an average of the target transmission powers of the plurality of energy storage converters in the energy storage system; the target transmission power being a minimum transmission power; an initial quantity determination module, configured to obtain a second target quantity of the energy storage converters in the energy storage system that meets a preset state of charge condition, determine whether the second target quantity is less than the first target quantity, and if the second target quantity is less than the first target quantity, use the second target quantity as the initial energy storage converter quantity; A health scoring module is used to determine the comprehensive health status scores of the battery groups corresponding to the energy storage converters of the initial number of energy storage converters based on the performance index data of the battery group corresponding to each energy storage converter, the ambient temperature data, the reliability value of each battery in the battery group, and the coupling degree of the batteries working in parallel in the battery group; an initial power determination module, configured to determine the grid-connected power allocation weight of each energy storage converter in the energy storage system according to the comprehensive health status score of the battery pack corresponding to each energy storage converter and the total comprehensive health status score of the multiple energy storage converters in the energy storage system, and determine the initial transmission power of each energy storage converter in the energy storage system according to the total grid-connected power of the energy storage system and the grid-connected power allocation weight of each energy storage converter in the energy storage system; A power distribution module is used to determine whether the initial transmission powers of multiple energy storage converters in the energy storage system meet the preset power conditions. If the initial transmission powers of multiple energy storage converters in the energy storage system meet the preset power conditions, the total grid-connected power of the energy storage system is distributed to the energy storage converters of the initial number according to the initial transmission power.

10. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the power distribution method of the energy storage system according to any one of claims 1 to 8 by executing the computer instructions.

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