Power conversion management method and system for a photovoltaic energy storage integrated inverter

Abstract

The application discloses a kind of power conversion management method and system of light storage integrated converter, belong to computer technology field, obtain photovoltaic power generation information of photovoltaic power generation component, grid information of target power grid and energy storage system information of energy storage system.Based on photovoltaic power generation information, grid information and energy storage system information, determine a plurality of first energy storage units for storing electric energy and a plurality of second energy storage units for releasing electric energy in this round from a plurality of energy storage units.Based on the first unit information of a plurality of first energy storage units in photovoltaic power generation information and energy storage system information, determine the energy storage parameters of each first energy storage unit.Based on the second unit information of a plurality of second energy storage units in grid information and energy storage system information, determine the discharge parameters of second energy storage unit.Each first energy storage unit is controlled in this round by using the energy storage parameters of each first energy storage unit through light storage integrated converter, so as to realize dynamic control of energy storage system.

Description

Technical Field

[0001] This application relates to the field of computer technology, and in particular to a power conversion management method and system for an integrated photovoltaic-storage converter. Background Technology

[0002] With the development of new energy technologies, the penetration rate of photovoltaic power generation systems in the power grid is gradually increasing. Traditional photovoltaic grid-connected systems typically use converters to convert the direct current generated by photovoltaic modules into alternating current for input into the grid. However, there is a timing mismatch between the intermittency of photovoltaic power generation and the fluctuations in grid load. To address this, energy storage systems have been introduced to balance power generation and consumption demands, forming a photovoltaic-storage coordinated power supply mode.

[0003] However, existing photovoltaic systems lack dynamic response capabilities. Converter control commands are usually based on preset thresholds or simple average distribution, which cannot dynamically optimize the charging and discharging parameters of each energy storage cell in the energy storage system, thus failing to achieve a balance between photovoltaic power generation and grid power consumption. Summary of the Invention

[0004] This application provides a power conversion management method and system for an integrated photovoltaic-energy storage converter, which can dynamically optimize the charging and discharging parameters of each energy storage cell in the energy storage system, thereby achieving a balance between photovoltaic power generation and grid power consumption. The technical solution is as follows:

[0005] On the one hand, a power conversion management method for an integrated photovoltaic-storage converter is provided, the method comprising:

[0006] The system acquires photovoltaic power generation information of photovoltaic power generation modules, grid information of the target power grid, and energy storage system information of the energy storage system. The energy storage system includes multiple energy storage units. The target power grid is a grid that is supplemented by power from the target photovoltaic system. The target photovoltaic system includes the photovoltaic power generation modules, the energy storage system, and an integrated photovoltaic-energy storage converter. The photovoltaic power generation modules and the energy storage system are respectively connected to the integrated photovoltaic-energy storage converter.

[0007] Based on the photovoltaic power generation information, the power grid information, and the energy storage system information, multiple first energy storage units and multiple second energy storage units are determined from the multiple energy storage units. The first energy storage units are the energy storage units that store electrical energy in this round, and the second energy storage units are the energy storage units that release electrical energy in this round.

[0008] Based on the photovoltaic power generation information and the first single-unit information of multiple first energy storage units in the energy storage system information, the energy storage parameters of each first energy storage unit are determined.

[0009] Based on the second-cell information of multiple second-cell energy storage units in the power grid information and the energy storage system information, the discharge parameters of each second-cell energy storage unit are determined.

[0010] The photovoltaic-storage integrated converter uses the energy storage parameters of each of the first energy storage cells to perform current-cycle control on the plurality of first energy storage cells, and uses the discharge parameters of each of the second energy storage cells to perform current-cycle control on the plurality of second energy storage cells.

[0011] On the one hand, a power conversion management system for an integrated photovoltaic-storage converter is provided, the system comprising:

[0012] The acquisition module is used to acquire photovoltaic power generation information of photovoltaic power generation components, grid information of the target power grid, and energy storage system information of the energy storage system. The energy storage system includes multiple energy storage units. The target power grid is a grid that is supplemented by power from the target photovoltaic system. The target photovoltaic system includes the photovoltaic power generation components, the energy storage system, and a photovoltaic-energy storage integrated converter. The photovoltaic power generation components and the energy storage system are respectively connected to the photovoltaic-energy storage integrated converter.

[0013] The energy storage unit determination module is used to determine multiple first energy storage units and multiple second energy storage units from the multiple energy storage units based on the photovoltaic power generation information, the power grid information and the energy storage system information. The first energy storage units are the energy storage units that store electrical energy in this round, and the second energy storage units are the energy storage units that release electrical energy in this round.

[0014] The energy storage parameter determination module is used to determine the energy storage parameters of each first energy storage unit based on the first unit information of multiple first energy storage units in the photovoltaic power generation information and the energy storage system information.

[0015] The discharge parameter determination module is used to determine the discharge parameters of each second energy storage cell based on the second cell information of multiple second energy storage cells in the power grid information and the energy storage system information.

[0016] The control module is used to control the plurality of first energy storage cells in this round using the energy storage parameters of each of the first energy storage cells through the photovoltaic-energy storage integrated converter, and to control the plurality of second energy storage cells in this round using the discharge parameters of each of the second energy storage cells.

[0017] On one hand, a computer device is provided, the computer device including one or more processors and one or more memories, the one or more memories storing at least one computer program, the computer program being loaded and executed by the one or more processors to implement the power conversion management method of the integrated photovoltaic-storage converter.

[0018] On the one hand, a computer-readable storage medium is provided, wherein at least one computer program is stored in the computer-readable storage medium, the computer program being loaded and executed by a processor to implement the power conversion management method of the integrated photovoltaic-storage converter.

[0019] On the one hand, a computer program product or computer program is provided, which includes program code stored in a computer-readable storage medium. The processor of a computer device reads the program code from the computer-readable storage medium and executes the program code, causing the computer device to perform the power conversion management method of the aforementioned integrated photovoltaic-storage converter.

[0020] The technical solution provided in this application obtains photovoltaic power generation information of photovoltaic power generation modules, grid information of the target power grid, and energy storage system information of the energy storage system. Based on the photovoltaic power generation information, grid information, and energy storage system information, multiple first energy storage units for energy storage and multiple second energy storage units for energy release are determined from multiple energy storage units. Based on the first unit information of the multiple first energy storage units in the photovoltaic power generation information and energy storage system information, the energy storage parameters of each first energy storage unit are determined. Based on the second unit information of the multiple second energy storage units in the grid information and energy storage system information, the discharge parameters of the second energy storage units are determined. A photovoltaic-energy storage integrated converter is used to control the multiple first energy storage units in this round using the energy storage parameters of each first energy storage unit, and to control the multiple second energy storage units in this round using the energy storage parameters of each second energy storage unit, thereby achieving dynamic control of the energy storage system to meet the comprehensive needs of the current photovoltaic power generation modules and the target power grid. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a schematic diagram of the implementation environment of a power conversion management method for an integrated photovoltaic and energy storage converter provided in this application embodiment;

[0023] Figure 2 This is a flowchart of a power conversion management method for an integrated photovoltaic-storage converter provided in an embodiment of this application;

[0024] Figure 3 This is a flowchart of another power conversion management method for an integrated photovoltaic-storage converter provided in this application embodiment;

[0025] Figure 4 This is a schematic diagram of the power conversion management system of an integrated photovoltaic-storage converter provided in an embodiment of this application;

[0026] Figure 5 This is a schematic diagram of the structure of a control device provided in an embodiment of this application. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0028] In this application, the terms "first," "second," etc., are used to distinguish identical or similar items with essentially the same function. It should be understood that there is no logical or temporal dependency between "first," "second," and "nth," nor are there any restrictions on quantity or execution order.

[0029] Photovoltaic-storage integrated converter: a power conversion device that integrates photovoltaic power generation and energy storage management, and has bidirectional energy control capability, including energy storage control and discharge control.

[0030] Photovoltaic power generation: The process of converting solar energy into electrical energy through photovoltaic modules, that is, the process of converting light energy into electrical energy.

[0031] Power grid: A power transmission and distribution network that accepts electrical energy input and distributes electricity.

[0032] Energy storage system: Hardware that stores electrical energy, including multiple individual energy storage units.

[0033] Artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain better results.

[0034] Machine learning (ML) is a multidisciplinary field involving probability theory, statistics, approximation theory, convex analysis, and algorithm complexity theory. It specifically studies how computers can simulate or implement human learning behavior to acquire new knowledge or skills, and reorganize existing knowledge sub-models to continuously improve their performance. Machine learning is the core of artificial intelligence and the fundamental way to endow computers with intelligence; its applications span all areas of artificial intelligence.

[0035] Privacy-preserving computation: Privacy-preserving computation is a computational theory and method oriented towards the protection of privacy information throughout its entire lifecycle. It mainly includes operations such as describing, measuring, evaluating, and fusing the privacy information involved when processing various forms of data (such as video, audio, images, graphics, text, numerical values, and network behavioral information streams). In the embodiments of this application, federated learning, a privacy-preserving computation method, is primarily employed.

[0036] Normalization: Mapping sequences of values ​​with different ranges to the interval (0, 1) to facilitate data processing. In some cases, normalized values ​​can be directly expressed as probabilities.

[0037] Embedded coding, mathematically speaking, represents a correspondence, that is, mapping data in space X to space Y using a function F. This function F is injective, and the mapping result preserves the structure. An injective function means that the mapped data uniquely corresponds to the original data, and preserving the structure means that the size relationship between the original and mapped data is the same. For example, if there are data X1 and X2 before mapping, after mapping we get Y1 corresponding to X1 and Y2 corresponding to X2. If the original data X1 > X2, then correspondingly, the mapped data Y1 > Y2. For words, this means mapping words to another space to facilitate subsequent machine learning and processing.

[0038] Attention weights represent the importance of a piece of data during training or prediction. Importance indicates the magnitude of the influence of input data on output data. Data with high importance corresponds to higher attention weights, while data with low importance corresponds to lower attention weights. The importance of data varies in different scenarios, and training the model to assign attention weights is essentially the process of determining data importance.

[0039] The implementation environment of the embodiments of this application is described below. Figure 1 This is a schematic diagram illustrating the implementation environment of a power conversion management method for an integrated photovoltaic-storage converter provided in this application embodiment. See also... Figure 1 The implementation environment may include control device 101, target photovoltaic system 102, and target power grid 103.

[0040] The control device 101 is connected to the target photovoltaic system 102 and the target power grid 103, and can obtain information from the target photovoltaic system 102 and the target power grid 103, and control the target photovoltaic system 102 to meet the needs under different circumstances. In other words, the control device 101 is the subject of execution of the technical solution provided in the embodiments of this application.

[0041] The target photovoltaic system 102 includes photovoltaic power generation modules, an energy storage system, and a photovoltaic-energy storage integrated converter. The photovoltaic power generation modules are hardware used to convert light energy into electrical energy, the energy storage system is hardware used to store electrical energy, and the photovoltaic-energy storage integrated converter is used to adjust the energy storage parameters and discharge parameters of the energy storage system to achieve dynamic adjustment of energy storage and discharge.

[0042] The target power grid 103 is connected to the target photovoltaic system 102, and the target photovoltaic system 102 can provide auxiliary power to the target power grid 103.

[0043] It should be noted that in the embodiments of this application, only the scenario in which the target photovoltaic system 102 supplies power to the target power grid 103 is considered. The scenario in which the target power grid 103 supplies power to the target photovoltaic system 102 is not within the scope of protection claimed in this application.

[0044] The application scenarios of the embodiments of this application are described below. The technical solutions provided by the embodiments of this application can be applied to scenarios of dynamic management of target photovoltaic systems. By adopting the technical solutions provided by the embodiments of this application, the energy storage system of the target photovoltaic system can be dynamically controlled, thereby adapting to different environments.

[0045] The power conversion management method of the photovoltaic-storage integrated converter provided in the embodiments of this application will be described below. Figure 2 This is a flowchart of a power conversion management method for an integrated photovoltaic-storage converter provided in an embodiment of this application. See also... Figure 2 Taking the control device as the executing entity as an example, the method includes the following steps.

[0046] 201. The control equipment acquires photovoltaic power generation information of the photovoltaic power generation module, grid information of the target power grid, and energy storage system information of the energy storage system. The energy storage system includes multiple energy storage units. The target power grid is a grid that is supplemented by power from the target photovoltaic system. The target photovoltaic system includes the photovoltaic power generation module, the energy storage system, and the photovoltaic-energy storage integrated converter. The photovoltaic power generation module and the energy storage system are respectively connected to the photovoltaic-energy storage integrated converter.

[0047] The photovoltaic (PV) power generation information is used to indicate the current power generation status of the PV power generation modules. In this embodiment, the PV power generation information includes the current PV power generation capacity and the PV power generation capacity fluctuation rate, which reflects the degree of change in PV power generation capacity. The grid information is used to indicate the current power supply status of the target grid. In this embodiment, the grid information includes the current demand power and the demand power fluctuation rate. The current demand power refers to the power that the target PV system needs to provide to the target grid, and the demand power fluctuation rate reflects the degree of change in the current demand power. The energy storage system includes multiple energy storage units. Correspondingly, the energy storage system information includes the individual information of multiple energy storage units. The individual information represents the individual status of each energy storage unit, and the individual information of multiple energy storage units can reflect the overall system status of the energy storage system. The integrated PV-energy storage converter is used to dynamically control the energy storage system to meet the needs under different operating conditions. Here, the operating conditions refer to the conditions described by the target grid and the PV power generation modules.

[0048] 202. Based on the photovoltaic power generation information, the power grid information, and the energy storage system information, the control equipment determines multiple first energy storage units and multiple second energy storage units from the multiple energy storage units. The first energy storage unit is the energy storage unit that stores electrical energy in this round, and the second energy storage unit is the energy storage unit that releases electrical energy in this round.

[0049] In this embodiment, when the target photovoltaic system is operating, the energy storage system can both store the electrical energy generated by the photovoltaic power generation modules and supply the electrical energy to the power grid. In this application embodiment, multiple energy storage units can be independently controlled; that is, the energy storage and discharge processes of each energy storage unit can be controlled individually. For example, if there are two energy storage units, one unit can be controlled to discharge to the target power grid, while the other unit can be controlled to store the electrical energy generated by the photovoltaic power generation modules. Multiple first energy storage units are those that store electrical energy in this cycle but do not release it; energy storage refers to storing the electrical energy generated by the photovoltaic power generation modules. Multiple second energy storage units are those that release electrical energy in this cycle but do not store it; energy release refers to releasing electrical energy into the target power grid to provide auxiliary power to the target power grid.

[0050] It should be noted that in the embodiments of this application, the control of the energy storage system is carried out in multiple rounds, and "this round" refers to the current round. In addition, the control methods of different rounds and the control methods of the current round belong to the same inventive concept, and the following description will take one round of control as an example.

[0051] 203. The control equipment determines the energy storage parameters of each first energy storage unit based on the photovoltaic power generation information and the first unit information of multiple first energy storage units in the energy storage system information.

[0052] Among them, energy storage parameters refer to energy storage power, which is the charging power of a single energy storage unit when storing electrical energy generated by photovoltaic power generation modules.

[0053] 204. The control equipment determines the discharge parameters of each second energy storage cell based on the grid information and the second cell information of multiple second energy storage cells in the energy storage system information.

[0054] Among them, the discharge parameter refers to the discharge power, which is the discharge power of the energy storage cell when it releases electricity to the target grid.

[0055] 205. The control equipment uses the energy storage parameters of each first energy storage cell to perform current-cycle control on the multiple first energy storage cells through the photovoltaic-energy storage integrated converter, and uses the discharge parameters of each second energy storage cell to perform current-cycle control on the multiple second energy storage cells.

[0056] Among them, the photovoltaic-storage integrated converter can control the current and voltage of the energy storage unit, thereby realizing the control of energy storage power or discharge power.

[0057] The technical solution provided in this application obtains photovoltaic power generation information of photovoltaic power generation modules, grid information of the target power grid, and energy storage system information of the energy storage system. Based on the photovoltaic power generation information, grid information, and energy storage system information, multiple first energy storage units for energy storage and multiple second energy storage units for energy release are determined from multiple energy storage units. Based on the first unit information of the multiple first energy storage units in the photovoltaic power generation information and energy storage system information, the energy storage parameters of each first energy storage unit are determined. Based on the second unit information of the multiple second energy storage units in the grid information and energy storage system information, the discharge parameters of the second energy storage units are determined. A photovoltaic-energy storage integrated converter is used to control the multiple first energy storage units in this round using the energy storage parameters of each first energy storage unit, and to control the multiple second energy storage units in this round using the energy storage parameters of each second energy storage unit, thereby achieving dynamic control of the energy storage system to meet the comprehensive needs of the current photovoltaic power generation modules and the target power grid.

[0058] Steps 201-205 above are a brief introduction to the power conversion management method of the integrated photovoltaic-storage converter provided in the embodiments of this application. The following will use some examples to provide a clearer explanation of the power conversion management method of the integrated photovoltaic-storage converter provided in the embodiments of this application. See [link to relevant documentation]. Figure 3 Taking the control device as the executing entity as an example, the method includes the following steps.

[0059] 301. The control equipment acquires photovoltaic power generation information of the photovoltaic power generation module, grid information of the target power grid, and energy storage system information of the energy storage system. The energy storage system includes multiple energy storage units. The target power grid is a grid that is supplemented by power from the target photovoltaic system. The target photovoltaic system includes the photovoltaic power generation module, the energy storage system, and the photovoltaic-energy storage integrated converter. The photovoltaic power generation module and the energy storage system are respectively connected to the photovoltaic-energy storage integrated converter.

[0060] The photovoltaic (PV) power generation information is used to indicate the current power generation status of the PV power generation modules. In this embodiment, the PV power generation information includes the current PV power generation capacity and the PV power generation capacity fluctuation rate, which reflects the degree of change in PV power generation capacity. The grid information is used to indicate the current power supply status of the target grid. In this embodiment, the grid information includes the current demand power and the demand power fluctuation rate. The current demand power refers to the power that the target PV system needs to provide to the target grid, and the demand power fluctuation rate reflects the degree of change in the current demand power. The energy storage system includes multiple energy storage units. Correspondingly, the energy storage system information includes the unit information of multiple energy storage units. The unit information represents the individual status of each energy storage unit, and the unit information of multiple energy storage units can reflect the overall system status of the energy storage system. The integrated PV-energy storage converter is used to dynamically control the energy storage system to meet the needs under different operating conditions. Here, the operating conditions refer to the conditions described by the target grid and the PV power generation modules. The energy storage unit is a battery pack.

[0061] In some embodiments, photovoltaic (PV) power generation information includes the current PV power generation capacity and the PV power generation capacity volatility. The current PV power generation capacity is obtained through a power sensor of the PV power generation module. The PV power generation capacity volatility is determined based on multiple historical PV power generation capacities. The average power generation capacity of the multiple historical PV power generation capacities is determined, and each historical PV power generation capacity is divided by the average power generation capacity to obtain the deviation rate between each historical PV power generation capacity and the average power generation capacity. The average of the deviation rates of the multiple historical PV power generation capacities is determined as the PV power generation capacity volatility. The acquisition time of the multiple historical PV power generation capacities is earlier than the current PV power generation capacity, and a first time difference between the acquisition time of the multiple historical PV power generation capacities and the acquisition time of the current PV power generation capacity is within a first preset time difference range. The number of historical PV power generation capacities and the first preset time difference range are set by technicians according to needs or actual conditions, and this application embodiment does not limit this.

[0062] In some embodiments, the power grid information includes the current demand power and the demand power volatility. The current demand power is obtained through a power sensor connected to the target power grid, or through a network connection from the management equipment of the target power grid. The demand power volatility is determined based on multiple historical demand power values. The average power generation of the multiple historical demand power values ​​is determined, and each historical demand power value is divided by the average power generation value to obtain the deviation rate between each historical demand power value and the average power generation value. The average of the deviation rates of the multiple historical demand power values ​​is determined as the demand power volatility. The acquisition time of the multiple historical demand power values ​​is earlier than the current demand power value, and a second time difference between the acquisition time of the multiple historical demand power values ​​and the acquisition time of the current demand power value is within a second preset time difference range. The number of historical demand power values ​​and the second preset time difference range are set by technicians according to needs or actual conditions, and this application embodiment does not limit this.

[0063] In some embodiments, the individual cell information includes individual cell capacity information, individual cell energy storage information, individual cell discharge information, and individual cell status information. Individual cell capacity information includes current remaining capacity, total capacity, and capacity fluctuation rate. The current remaining capacity and total capacity are obtained through the energy storage unit management components of the target photovoltaic system. Individual cell energy storage information includes energy storage conversion efficiency and energy loss rate. Individual cell discharge information includes peak discharge power, average discharge power, and discharge conversion efficiency. Individual cell status information includes cell temperature, cumulative discharge duration, and continuous operating duration. The capacity fluctuation rate is used to represent the capacity change of the energy storage cell and is determined based on multiple historical remaining capacities. The energy storage conversion efficiency refers to the ratio between the electrical energy stored in the energy storage cell and the input electrical energy, reflecting the energy conversion (electrical energy to chemical energy) capability of the energy storage cell. The energy loss rate refers to the rate of energy loss when the energy storage cell is not operating. Both the energy storage conversion efficiency and the energy loss rate are obtained using methods provided in related technologies, and this application embodiment does not limit them. Peak discharge power refers to the maximum discharge power of a single energy storage cell. Average discharge power refers to the average discharge power of a single energy storage cell within the current control cycle. The current control cycle refers to the time period between the start of the previous control cycle and the start of the current control cycle. Discharge conversion efficiency refers to the ratio between the energy lost by the energy storage cell during discharge and the energy gained by the target grid, reflecting the energy conversion (chemical energy to electrical energy) capability of the energy storage cell. The discharge conversion efficiency is obtained using methods provided in related technologies, and this application does not limit this aspect. Cumulative discharge time of a single cell refers to the total discharge time of the energy storage cells, and continuous operating time of a single cell refers to the combined discharge and continuous energy storage time of the energy storage cell. Cell temperature is obtained through a temperature sensor.

[0064] 302. Based on the information of the energy storage system, the control device determines a plurality of first initial energy storage units and a plurality of second initial energy storage units from the plurality of energy storage units. The first initial energy storage units are energy storage units initially selected for energy storage, and the second initial energy storage units are energy storage units initially selected for energy release.

[0065] In this embodiment, when the target photovoltaic system is operating, the energy storage system can both store the electrical energy generated by the photovoltaic power generation modules and supply the electrical energy to the power grid. In this application embodiment, multiple energy storage units can be independently controlled; that is, the energy storage and discharge processes of each energy storage unit can be controlled individually. For example, if there are two energy storage units, one unit can be controlled to discharge to the target power grid, while the other unit can be controlled to store the electrical energy generated by the photovoltaic power generation modules. The first and second initial energy storage units are both initially selected energy storage units and can be considered as the initial grouping results of multiple energy storage units, which will be adjusted subsequently based on other information.

[0066] In one possible implementation, the individual cell information includes individual cell capacity information, individual cell energy storage information, individual cell discharge information, and individual cell status information. Based on the individual cell capacity information, individual cell energy storage information, and individual cell status information of each energy storage cell, the control device determines the individual cell energy storage parameters of each energy storage cell, which represent the strength of the energy storage capacity. Based on the individual cell capacity information, individual cell discharge information, and individual cell status information of each energy storage cell, the control device determines the individual cell discharge parameters of each energy storage cell, which represent the strength of the discharge capacity. Based on the individual cell energy storage parameters and individual cell discharge parameters of each energy storage cell, the control device determines multiple first initial energy storage cells and multiple second initial energy storage cells from the multiple energy storage cells.

[0067] In this application, the single-cell energy storage parameters and single-cell discharge parameters are evaluation parameters provided in the embodiments. The single-cell energy storage parameters can be regarded as single-cell energy storage evaluation scores; the higher the single-cell energy storage evaluation score, the stronger the energy storage capacity. The single-cell discharge parameters can be regarded as single-cell discharge evaluation scores; the higher the single-cell discharge evaluation score, the stronger the discharge capacity. In some embodiments, the values ​​of both the single-cell energy storage evaluation score and the single-cell discharge evaluation score are in the range of 0-100.

[0068] To provide a clearer explanation of the above embodiments, the following description is divided into several parts.

[0069] The first part involves the control equipment determining the individual energy storage parameters of each energy storage unit based on its capacity, energy storage information, and status information.

[0070] In one possible implementation, the single-unit capacity information includes the current remaining capacity and total capacity; the single-unit energy storage information includes energy storage conversion efficiency and energy loss rate; and the single-unit status information includes single-unit temperature and single-unit continuous operating time. For any single energy storage unit among the plurality of energy storage units, the control device determines a first energy storage evaluation parameter for the single energy storage unit based on its current remaining capacity, total capacity, and energy loss rate. This first energy storage evaluation parameter indicates the strength of the energy storage capacity of the single energy storage unit. The control device determines a second energy storage evaluation parameter for the single energy storage unit based on its energy storage conversion efficiency, single-unit temperature, and single-unit continuous operating time. This second energy storage evaluation parameter indicates the quality of the energy storage status of the single energy storage unit. The control device determines the single-unit energy storage parameters of the single energy storage unit based on the first energy storage evaluation parameter and the second energy storage evaluation parameter.

[0071] The first energy storage evaluation parameter and the second energy storage evaluation parameter are also evaluation parameters provided in the embodiments of this application. The first energy storage evaluation parameter can be regarded as a first energy storage evaluation score or a first energy storage evaluation level. The higher the first energy storage evaluation score or the first energy storage evaluation level, the stronger the energy storage capacity of the energy storage unit. The second energy storage evaluation parameter can be regarded as a second energy storage evaluation score or a second energy storage evaluation level. The higher the second energy storage evaluation score or the second energy storage evaluation level, the better the energy storage status of the energy storage unit. The first energy storage evaluation parameter is determined based on the current remaining capacity, total capacity, and energy loss rate of the energy storage unit. The current remaining capacity and total capacity reflect the amount of remaining energy storage space, and the unit is kW / h or kJ. The energy loss rate reflects the strength of the energy storage unit's ability to retain the stored energy, and the unit can be kW / h. 2 Alternatively, the energy storage capacity (kJ / h) is used, combined with the remaining energy storage space and the strength of the retention capacity, to determine the first energy storage evaluation parameter. This first parameter can accurately represent the energy storage capacity of a single energy storage unit. The second energy storage evaluation parameter is determined based on energy conversion efficiency, unit temperature, and continuous operating time. Energy conversion efficiency reflects the energy conversion capability of a single energy storage unit. Unit temperature affects the energy storage state of the unit, so it is used in determining the second energy storage evaluation parameter. The continuous operating time of the unit can also reflect the energy storage state to some extent, and is therefore also used to determine the second energy storage evaluation parameter.

[0072] To provide a clearer explanation of the above embodiments, the following description will be divided into several parts.

[0073] A. The control equipment determines the first energy storage evaluation parameter of the energy storage unit based on the current remaining capacity, total capacity and energy loss rate of the energy storage unit.

[0074] In one possible implementation, the control device determines the available energy storage capacity of the energy storage unit based on its current remaining capacity and total capacity. Based on the available energy storage capacity and the energy loss rate, the control device determines a first energy storage evaluation parameter for the energy storage unit.

[0075] For example, the control device subtracts the total capacity of the energy storage unit from its current remaining capacity to obtain the available energy storage capacity of the unit. The control device divides the available energy storage capacity by the total capacity to obtain a first capacity evaluation parameter. The control device divides the available energy storage capacity by a reference capacity to obtain a second capacity evaluation parameter. The control device multiplies the first and second capacity evaluation parameters and then multiplies by a preset value to obtain a first reference energy storage evaluation parameter. The control device divides the energy loss rate by a reference energy loss rate and then multiplies by a preset value to obtain a second reference energy storage evaluation parameter. The control device weights and fuses the first and second reference energy storage evaluation parameters to obtain the first energy storage evaluation parameter for the energy storage unit.

[0076] The reference capacity is determined based on the total capacity. Typically, the reference capacity is obtained by multiplying the total capacity by a first preset ratio, which ranges from 0 to 1. This first preset ratio is dynamically changing and is positively correlated with the current power generation of the photovoltaic modules. The reference energy loss rate is determined based on the energy loss rates of multiple energy storage units; that is, the average of the energy loss rates of multiple energy storage units is used as the reference energy loss rate. The weights for weighted fusion are set by technicians according to actual conditions, and this embodiment does not limit this. The first reference energy storage evaluation parameter is the first reference energy storage evaluation score, and the second reference energy storage evaluation parameter is the second reference energy storage evaluation score. The preset values ​​are configured by technicians according to requirements, such as 10 or 100, and this embodiment does not limit this. When the preset value is 100, the range of the first and second reference energy storage evaluation scores is both (0, 100).

[0077] B. The control equipment determines the second energy storage evaluation parameter of the energy storage cell based on the energy conversion efficiency, cell temperature and continuous working time of the cell.

[0078] In one possible implementation, the control device determines the energy storage conversion evaluation parameters of the energy storage cell based on the energy storage conversion efficiency. The control device also determines the operating status evaluation parameters of the energy storage cell based on the cell temperature and the cell's continuous operating time.

[0079] Among them, the energy storage conversion evaluation parameter is the energy storage conversion evaluation score or the energy storage conversion evaluation level, and the working status evaluation parameter is the working status evaluation score or the working status evaluation level.

[0080] For example, the control equipment divides the energy storage conversion efficiency by a preset energy storage conversion efficiency and then multiplies it by a preset value to obtain the energy storage conversion evaluation parameters for the energy storage cell. The control equipment then substitutes the cell temperature and the cell's continuous operating time into the first relational data to obtain the operating status evaluation parameters for the energy storage cell.

[0081] The preset energy storage conversion efficiency is the average conversion efficiency of multiple energy storage cells. The first relational data represents the correspondence between cell temperature, continuous operating time, and operating status evaluation parameters. This first relational data is a relational function, set by technicians according to requirements; this embodiment does not limit its implementation. The first relational data is in the form y=kx m +bz n +c, y represents the working status evaluation parameter, x represents the unit temperature, z represents the continuous working time of the unit, and k, b, m, n and c are all calibration or fitting constants.

[0082] C. The control equipment determines the single-unit energy storage parameters of the energy storage unit based on the first energy storage evaluation parameter and the second energy storage evaluation parameter of the single unit.

[0083] In one possible implementation, the control device performs a weighted fusion of the first energy storage evaluation parameter and the second energy storage evaluation parameter of the energy storage unit to obtain the unit's energy storage parameters.

[0084] The weights for weighted fusion are set by technical personnel according to the actual situation, and this application embodiment does not limit this.

[0085] The second part involves the control equipment determining the individual discharge parameters of each energy storage cell based on its individual cell capacity information, individual cell discharge information, and individual cell status information.

[0086] In one possible implementation, the single-cell capacity information includes the current remaining capacity and capacity fluctuation rate; the single-cell discharge information includes peak discharge power, average discharge power, and discharge conversion efficiency; and the single-cell status information includes single-cell temperature and cumulative discharge duration. For any single energy storage cell among the plurality of energy storage cells, the control device determines a first discharge evaluation parameter for the energy storage cell based on its current remaining capacity, capacity fluctuation rate, and discharge conversion efficiency. This first discharge evaluation parameter indicates the strength of the energy storage cell's discharge capability. The control device determines a second discharge evaluation parameter for the energy storage cell based on its peak discharge power, average discharge power, and cumulative discharge duration. This second discharge evaluation parameter indicates the quality of the energy storage cell's discharge state. The control device determines a third discharge evaluation parameter for the energy storage cell based on its single-cell temperature, current remaining capacity, and cumulative discharge duration. This third discharge evaluation parameter indicates the stability of the energy storage cell's discharge state. The control device determines the single-cell discharge parameters of the energy storage cell based on its first, second, and third discharge evaluation parameters.

[0087] The first discharge evaluation parameter and the second discharge evaluation parameter are also evaluation parameters provided in the embodiments of this application. The first discharge evaluation parameter can be regarded as a first discharge evaluation score or a first discharge evaluation level. The higher the first discharge evaluation score or the first discharge evaluation level, the stronger the discharge capability of the energy storage unit. The second discharge evaluation parameter can be regarded as a second discharge evaluation score or a second discharge evaluation level. The higher the second discharge evaluation score or the second discharge evaluation level, the better the energy storage status of the energy storage unit. The first discharge evaluation parameter is determined based on the current remaining capacity, capacity fluctuation rate, and discharge conversion efficiency of the energy storage unit. The current remaining capacity reflects the amount of remaining energy storage space, and the unit is expressed as kW / h or kJ. The discharge conversion efficiency reflects the strength of the energy storage unit's ability to convert chemical energy into electrical energy. The capacity fluctuation rate is used to represent the stability of the energy storage of the energy storage unit. By combining the amount of remaining energy storage space, the strength of the ability to convert chemical energy into electrical energy, and the stability of energy storage to determine the first discharge evaluation parameter, the first discharge evaluation parameter can more accurately represent the strength of the discharge capability of the energy storage unit. The second discharge evaluation parameter is determined based on the peak discharge power, average discharge power, and cumulative discharge duration of the energy storage cell. The cumulative discharge duration refers to the total duration of discharge by the energy storage cell. The peak discharge power is the maximum discharge power of the energy storage cell, and the average discharge power is the average discharge power of the energy storage cell within a preset time period. The third discharge evaluation parameter is determined based on the cell temperature, current remaining capacity, and cumulative discharge duration of the energy storage cell, and can describe the stability of the discharge state from the dimensions of temperature, remaining capacity, and cumulative discharge duration.

[0088] To provide a clearer explanation of the above embodiments, the following description will be divided into several parts.

[0089] A. The control equipment determines the first discharge evaluation parameters of the energy storage unit based on its current remaining capacity, capacity fluctuation rate, and discharge conversion efficiency.

[0090] In one possible implementation, the control device determines the remaining capacity fluctuation value of the energy storage cell based on its current remaining capacity and capacity fluctuation rate. Based on the remaining capacity fluctuation value and the discharge conversion efficiency, the control device determines a first discharge evaluation parameter for the energy storage cell.

[0091] For example, the control device multiplies the current remaining capacity of the energy storage cell by its capacity fluctuation rate to obtain the remaining capacity fluctuation value of the energy storage cell. The control device then substitutes this remaining capacity fluctuation value and the discharge conversion efficiency into the second relational data to obtain the first discharge evaluation parameter of the energy storage cell.

[0092] The second relational data is used to represent the correspondence between the remaining capacity fluctuation value and the discharge conversion efficiency and the first discharge evaluation parameter. This second relational data is a relational function, which can be set by a technician according to requirements; this embodiment does not limit its implementation. The form of the second relational data and the first relational data belongs to the same inventive concept, and the meaning of the parameters can be adaptively adjusted by a technician.

[0093] B. The control equipment determines the second discharge evaluation parameters of the energy storage cell based on the peak discharge power, average discharge power, and cumulative discharge duration of the cell.

[0094] In one possible implementation, the control device determines discharge performance evaluation parameters for the energy storage cell based on the average discharge power and cumulative discharge duration of the cell. The control device also determines peak discharge evaluation parameters for the energy storage cell based on the peak discharge power. Finally, the control device determines a second discharge evaluation parameter for the energy storage cell based on both the discharge performance evaluation parameters and the peak discharge evaluation parameters.

[0095] Among them, the discharge performance evaluation parameter is used to evaluate the discharge performance of a single energy storage unit. The discharge performance evaluation parameter is a discharge performance evaluation score or a discharge performance evaluation level. The higher the discharge performance evaluation score or the discharge performance evaluation level, the better the discharge performance of the single energy storage unit. The discharge peak performance evaluation parameter is used to evaluate the peak discharge power of a single energy storage unit. The discharge peak performance evaluation parameter is a discharge peak performance evaluation score or a discharge peak performance evaluation level. The higher the discharge peak performance evaluation score or the discharge peak performance evaluation level, the stronger the peak discharge capability of the single energy storage unit.

[0096] For example, the control device substitutes the average discharge power and cumulative discharge duration of the energy storage cell into the third relational data to obtain the discharge performance evaluation parameters of the energy storage cell. The control device substitutes the peak discharge power into the fourth relational data to obtain the peak discharge evaluation parameters of the energy storage cell. The control device then performs a weighted fusion of the discharge performance evaluation parameters and the peak discharge evaluation parameters to obtain the second discharge evaluation parameters of the energy storage cell.

[0097] The third relational data represents the correspondence between the average discharge power and the cumulative discharge duration of a single cell and the discharge effect evaluation parameters. This third relational data is a relational function, which is set by a technician according to requirements, and this embodiment does not limit its implementation. The form of the third relational data and the first relational data belongs to the same inventive concept, and the meaning of the parameters can be adaptively adjusted by a technician. The fourth relational data represents the correspondence between the peak discharge power and the peak discharge evaluation parameters. This fourth relational data is a relational function, which is set by a technician according to requirements, and this embodiment does not limit its implementation. The weights of the weighted fusion are set by a technician according to the actual situation, and this embodiment does not limit their implementation.

[0098] C. The control equipment determines the third discharge evaluation parameter of the energy storage cell based on the cell temperature, current remaining capacity, and cumulative discharge duration of the cell.

[0099] In one possible implementation, the control device determines the operating status of the energy storage cell based on its cell temperature and cumulative discharge duration. Based on the cell's operating status and current remaining capacity, the control device determines a third discharge evaluation parameter for the energy storage cell.

[0100] Among them, the single-cell operating status is used to evaluate the operating status of the energy storage cell from two dimensions: temperature and cumulative discharge time. The single-cell operating status includes multiple status levels, and different status levels are used to describe different operating states. For example, there are five status levels, which represent increasingly better states from low to high. That is, level one is the worst state and level five is the best state. Generally speaking, the higher the single-cell temperature / the longer the single-cell cumulative discharge time, the lower the status level.

[0101] For example, the control device queries the first relation table using the cell temperature and cumulative discharge duration of the energy storage cell to obtain the cell's operating status. The control device then substitutes the cell's operating status and current remaining capacity into the fifth relation data to obtain the cell's third discharge evaluation parameters.

[0102] The first relationship table stores multiple cell temperatures, multiple cell cumulative discharge durations, and multiple cell operating states, with each cell operating state corresponding to a cell temperature and a cell cumulative discharge duration. The fifth relationship data represents the correspondence between the cell operating state, current remaining capacity, and the third discharge evaluation parameters. This fifth relationship data is a relationship function, set by a technician according to requirements; this embodiment does not limit its implementation. The fifth relationship data and the first relationship data belong to the same inventive concept, and the meaning of the parameters can be adaptively adjusted by a technician.

[0103] D. The control equipment determines the single-cell discharge parameters of the energy storage cell based on the first discharge evaluation parameter, the second discharge evaluation parameter, and the third discharge evaluation parameter of the single-cell energy storage cell.

[0104] In one possible implementation, the control device performs a weighted fusion of the first discharge evaluation parameter, the second discharge evaluation parameter, and the third discharge evaluation parameter of the energy storage cell to obtain the single-cell discharge parameter of the energy storage cell.

[0105] The weights for weighted fusion are set by technical personnel according to the actual situation, and this application embodiment does not limit this.

[0106] Part Three: The control equipment determines multiple first initial energy storage cells and multiple second initial energy storage cells from the multiple energy storage cells based on the individual energy storage parameters and individual discharge parameters of each energy storage cell.

[0107] In one possible implementation, for any one of a plurality of energy storage cells, the control device compares the cell's energy storage parameters and discharge parameters. If the cell's energy storage parameters are greater than its discharge parameters, the control device designates the cell as a first initial energy storage cell. If the cell's energy storage parameters are less than its discharge parameters, the control device designates the cell as a second initial energy storage cell.

[0108] Based on the above implementation method, there is also a case where the energy storage parameter of a single cell is equal to its discharge parameter. In this case, the control device compares the cumulative discharge time and cumulative charging time of the energy storage cell. If the cumulative discharge time of the energy storage cell is less than its cumulative charging time, the control device identifies the energy storage device as the first initial energy storage cell. If the cumulative discharge time of the energy storage cell is greater than its cumulative charging time, the control device identifies the energy storage device as the second initial energy storage cell. If the cumulative discharge time of the energy storage cell is equal to its cumulative charging time, a technician manually classifies the energy storage cell as either the first initial energy storage cell or the second initial energy storage cell.

[0109] 303. Based on the photovoltaic power generation information, the power grid information, and the individual information of each energy storage unit, the control equipment updates the multiple first initial energy storage units and multiple second initial energy storage units to obtain the multiple first energy storage units and the multiple second energy storage units. The first energy storage unit is the energy storage unit that stores electrical energy in this round, and the second energy storage unit is the energy storage unit that releases electrical energy in this round.

[0110] Among them, several first-level energy storage units are those that store electrical energy but do not release it in this round. Electrical energy storage refers to storing the electrical energy generated by photovoltaic power generation modules. Several second-level energy storage units are those that release electrical energy but do not store it in this round. Electrical energy release refers to releasing electrical energy into the target power grid to provide auxiliary power to the target power grid.

[0111] In one possible implementation, the photovoltaic power generation information includes the current photovoltaic power generation capacity and photovoltaic power generation capacity fluctuation rate; the grid information includes the current demand power and demand power fluctuation rate; and the individual unit information includes individual unit capacity information, individual unit energy storage information, and individual unit discharge information. Based on the current photovoltaic power generation capacity, the photovoltaic power generation capacity fluctuation rate, and the individual unit capacity and energy storage information of each first initial energy storage unit, the control device determines a first update parameter for each first initial energy storage unit. This first update parameter indicates the degree of matching between the first initial energy storage unit and the energy storage unit being updated to release electrical energy. Based on the current demand power, the demand power fluctuation rate, and the individual unit capacity and discharge information of each second initial energy storage unit, the control device determines a second update parameter for each second initial energy storage unit. This second update parameter indicates the degree of matching between the second initial energy storage unit and the energy storage unit being updated to store electrical energy. The control device updates the plurality of first initial energy storage units based on the first update parameters of each first initial energy storage unit, and updates the plurality of second initial energy storage units based on the second update parameters of each second initial energy storage unit, thus obtaining the plurality of first energy storage units and the plurality of second energy storage units.

[0112] The first update parameter and the second update parameter can be implemented as probabilities, and the values ​​of the first update parameter and the second update parameter are both in the range of (0,1).

[0113] To provide a clearer explanation of the above embodiments, the following description will be divided into several parts.

[0114] The first part involves the control equipment determining the first update parameters for each first initial energy storage unit based on the current photovoltaic power generation, the photovoltaic power generation volatility, and the unit capacity and energy storage information of each first initial energy storage unit.

[0115] In one possible implementation, the single-unit capacity information includes the current available capacity, and the single-unit energy storage information includes the energy storage power range. The control device determines the photovoltaic power generation fluctuation range based on the current photovoltaic power generation and the photovoltaic power generation fluctuation rate. The control device determines the initial total energy storage power range based on the energy storage power ranges of multiple first initial energy storage units. The control device inputs the photovoltaic power generation fluctuation range, the initial total energy storage power range, and the current available capacity and energy storage power range of each first initial energy storage unit into a first update parameter determination model. The first update parameter determination model extracts features from the photovoltaic power generation fluctuation range, the initial total energy storage power range, and the current available capacity and energy storage power range of each first initial energy storage unit to obtain the first update parameter prediction features for each first initial energy storage unit. The control device then performs a fully connected and normalized process on the first update parameter prediction features of each first initial energy storage unit using the first update parameter determination model to obtain the first update parameters for each first initial energy storage unit.

[0116] Here, the current available capacity refers to the difference between the total capacity and the current remaining capacity. The first update parameter determination model is a regression model that maps the input parameters to the first update parameters. The structure of the first update parameter determination model can adopt regression models in related technologies, and this application embodiment does not limit this. In addition, the first update parameter determination model is obtained by training multiple rounds of multiple first sample data and the labeled first update parameters corresponding to each first sample data. The first sample data includes the sample photovoltaic power generation power fluctuation range, the sample initial total energy storage power range, the sample available capacity, and the sample energy storage power range. Fully connected refers to multiplying with a fully connected matrix, and normalization refers to substituting into a normalization function for processing. For example, normalization functions include the SoftMax function, the ReLU function, etc., and this application embodiment does not limit this.

[0117] For example, the control device multiplies the current photovoltaic power generation capacity by the photovoltaic power generation capacity fluctuation rate to obtain the photovoltaic power generation capacity fluctuation amount. The control device subtracts the current photovoltaic power generation capacity from the photovoltaic power generation capacity fluctuation amount to obtain the lower limit of the photovoltaic power generation capacity fluctuation range. The control device adds the current photovoltaic power generation capacity to the photovoltaic power generation capacity fluctuation amount to obtain the upper limit of the photovoltaic power generation capacity fluctuation range. The control device superimposes the energy storage capacity ranges of multiple first initial energy storage units to determine the initial total energy storage capacity range. The control device inputs the photovoltaic power generation capacity fluctuation range, the initial total energy storage capacity range, and the current available capacity and energy storage capacity range of each first initial energy storage unit into a first update parameter determination model. This first update parameter determination model performs multiple full connections on the photovoltaic power generation capacity fluctuation range, the initial total energy storage capacity range, and the current available capacity and energy storage capacity range of each first initial energy storage unit to obtain the first update parameter prediction features of each first initial energy storage unit. The control device then performs full connections and normalization on the first update parameter prediction features of each first initial energy storage unit using the first update parameter determination model to obtain the first update parameters of each first initial energy storage unit.

[0118] The second part involves the control equipment determining the second update parameters for each second initial energy storage cell based on the current demand power, demand power fluctuation rate, and the cell capacity and discharge information of each second initial energy storage cell.

[0119] In one possible implementation, the single-unit capacity information includes the current remaining capacity, and the single-unit discharge information includes the discharge power range. The control device determines the demand power fluctuation range based on the current demand power and the demand power fluctuation rate. The control device determines the initial total discharge power range based on the discharge power ranges of multiple second initial energy storage units. The control device inputs the demand power fluctuation range, the initial total discharge power range, and the current remaining capacity and discharge power range of each second initial energy storage unit into a second update parameter determination model. The second update parameter determination model extracts features from the demand power fluctuation range, the initial total discharge power range, and the current remaining capacity and discharge power range of each second initial energy storage unit to obtain the second update parameter prediction features for each second initial energy storage unit. The control device then performs a fully connected and normalized process on the second update parameter prediction features of each second initial energy storage unit using the second update parameter determination model to obtain the second update parameters for each second initial energy storage unit.

[0120] The second update parameter determination model is a regression model that maps input parameters to second update parameters. The structure of this model can adopt regression models from related technologies, and this application does not limit its implementation. Furthermore, the second update parameter determination model is obtained through multiple rounds of training using multiple first sample data sets and the corresponding labeled second update parameters for each first sample data set. The first sample data sets include the sample demand power fluctuation range, the sample initial total discharge power range, the sample remaining capacity, and the sample discharge power range. "Fully connected" refers to multiplying with a fully connected matrix, and "normalization" refers to substituting into a normalization function for processing. For example, normalization functions include the SoftMax function and the ReLU function, and this application does not limit its implementation.

[0121] For example, the control device multiplies the current demand power by the demand power fluctuation rate to obtain the demand power fluctuation amount. The control device subtracts the current demand power from the demand power fluctuation amount to obtain the lower limit of the demand power fluctuation range. The control device adds the current demand power to the demand power fluctuation amount to obtain the upper limit of the demand power fluctuation range. The control device superimposes the discharge power ranges of multiple second initial energy storage cells to determine the initial total discharge power range. The control device inputs the demand power fluctuation range, the initial total discharge power range, and the current remaining capacity and discharge power range of each second initial energy storage cell into a second update parameter determination model. This model performs multiple full connections on the demand power fluctuation range, the initial total discharge power range, and the current remaining capacity and discharge power range of each second initial energy storage cell to obtain the second update parameter prediction features for each second initial energy storage cell. The control device then performs full connections and normalization on the second update parameter prediction features of each second initial energy storage cell using the second update parameter determination model to obtain the second update parameters for each second initial energy storage cell.

[0122] The third part describes how the control device updates the plurality of first initial energy storage units based on the first update parameters of each first initial energy storage unit, and updates the plurality of second initial energy storage units based on the second update parameters of each second initial energy storage unit, thereby obtaining the plurality of first energy storage units and the plurality of second energy storage units.

[0123] In one possible implementation, for any one of a plurality of first initial energy storage units, if the first update parameter of the first initial energy storage unit is less than a first update parameter threshold, the control device determines that first initial energy storage unit as a first energy storage unit. If the first update parameter of the first initial energy storage unit is greater than or equal to the first update parameter threshold, the control device updates the first initial energy storage unit as a second energy storage unit. Similarly, for any one of a plurality of second initial energy storage units, if the second update parameter of the second initial energy storage unit is less than a second update parameter threshold, the control device determines that second initial energy storage unit as a second energy storage unit. If the second update parameter of the second initial energy storage unit is greater than or equal to the second update parameter threshold, the control device updates the second initial energy storage unit as a first energy storage unit.

[0124] The first update parameter threshold and the second update parameter threshold are set by technicians according to the actual situation, and this application embodiment does not limit them.

[0125] It should be noted that in the embodiments of this application, the control of the energy storage system is carried out in multiple rounds, and "this round" refers to the current round. In addition, the control methods of different rounds and the control methods of the current round belong to the same inventive concept, and the following description will take one round of control as an example.

[0126] 304. The control equipment determines the energy storage parameters of each first energy storage unit based on the photovoltaic power generation information and the first unit information of multiple first energy storage units in the energy storage system information.

[0127] Among them, energy storage parameters refer to energy storage power, which is the charging power of a single energy storage unit when storing electrical energy generated by photovoltaic power generation modules.

[0128] In one possible implementation, the control device determines the average energy storage capacity of each of the plurality of first energy storage cells based on the current photovoltaic power generation and the number of the plurality of first energy storage cells. For any one of the plurality of first energy storage cells, the control device determines the initial energy storage capacity of the first energy storage cell based on the average energy storage capacity, the photovoltaic power generation volatility, and the cell capacity information. The control device determines the target energy storage capacity of the first energy storage cell based on the current photovoltaic power generation, the initial energy storage capacity of the plurality of first energy storage cells, and the cell energy storage information of the first energy storage cell.

[0129] Among them, the sum of the target energy storage power of the multiple first energy storage units is greater than or equal to the current photovoltaic power generation power.

[0130] To provide a clearer explanation of the above embodiments, the following description is divided into several parts.

[0131] The first part involves the control equipment determining the average energy storage power of each first energy storage unit based on the current photovoltaic power generation and the number of the multiple first energy storage units.

[0132] In one possible implementation, the control device divides the current photovoltaic power generation by the number of the plurality of first energy storage cells to obtain the average energy storage power of each first energy storage cell.

[0133] The second part describes how the control equipment determines the initial energy storage power of the first energy storage unit based on the average single-unit energy storage power, the photovoltaic power generation fluctuation rate, and the single-unit capacity information.

[0134] In one possible implementation, the control device determines a first power correction coefficient for the first energy storage unit based on the photovoltaic power generation fluctuation rate and the unit capacity information. The control device then multiplies the first power correction coefficient by the average unit energy storage power to obtain the initial energy storage power of the first energy storage unit.

[0135] For example, the single-unit capacity information includes the current available capacity. The control device inputs the photovoltaic power generation volatility and the current available capacity into a first correction coefficient determination model. Using this model, features are extracted from the photovoltaic power generation volatility and the current available capacity to obtain a first volatility feature of the photovoltaic power generation volatility and a first capacity information feature of the current available capacity. The control device then uses the first correction coefficient determination model to perform weighted fusion of the first volatility feature and the first capacity information feature to obtain a first correction coefficient determination feature. Finally, the control device uses the first correction coefficient determination model to perform a fully connected and normalized operation on this first correction coefficient determination feature to obtain a first power correction coefficient for the first energy storage unit. Finally, the control device multiplies this first power correction coefficient by the average single-unit energy storage power to obtain the initial energy storage power of the first energy storage unit.

[0136] For example, the control device inputs the photovoltaic power generation volatility and the current spare capacity into a first correction coefficient determination model. Using this model, the control device performs multiple full connections on the photovoltaic power generation volatility and the current spare capacity to obtain a first volatility feature of the photovoltaic power generation volatility and a first capacity information feature of the current spare capacity. The control device then uses the first correction coefficient determination model to perform a weighted fusion of the first volatility feature and the first capacity information feature to obtain a first correction coefficient determination feature. Finally, the control device uses the first correction coefficient determination model to perform a full connection and normalization on this first correction coefficient determination feature to obtain a first power correction coefficient for the first energy storage unit. Finally, the control device multiplies this first power correction coefficient by the average single-unit energy storage power to obtain the initial energy storage power of the first energy storage unit.

[0137] Part Three: The control equipment determines the target energy storage power of the first energy storage unit based on the current photovoltaic power generation, the initial energy storage power of the plurality of first energy storage units, and the individual energy storage information of the first energy storage unit.

[0138] In one possible implementation, the individual energy storage information includes energy conversion efficiency and energy loss rate. The control device determines a second power correction coefficient for each first energy storage unit based on its energy conversion efficiency and energy loss rate. The control device multiplies the second power correction coefficient of each first energy storage unit by its initial energy storage power to obtain a first reference energy storage power for each first energy storage unit. If the sum of the first reference energy storage powers of multiple first energy storage units is greater than or equal to the current photovoltaic power generation, the control device determines the first reference energy storage power of each first energy storage unit as its target energy storage power. If the sum of the first reference energy storage powers of multiple first energy storage units is less than the current photovoltaic power generation, the control device subtracts the current photovoltaic power generation from the sum of the first reference energy storage powers of multiple first energy storage units and divides this subtracted value by the number of first energy storage units to obtain a power correction amount. The control device adds the first reference energy storage power of each first energy storage unit to this power correction amount to obtain the target energy storage power for each first energy storage unit.

[0139] To provide a clearer explanation of the above embodiments, the method for determining the second power correction coefficient in the above embodiments will be described below.

[0140] In some embodiments, the control device substitutes the energy conversion efficiency and energy loss rate of each first energy storage cell into the sixth relational data to obtain the second power correction coefficient of each first energy storage cell.

[0141] The sixth relational data is used to represent the correspondence between energy storage conversion efficiency and energy loss rate and the second power correction coefficient. The sixth relational data is a relational function, which is set by technicians according to the actual situation. This application embodiment does not limit this.

[0142] 305. The control equipment determines the discharge parameters of each second energy storage cell based on the grid information and the second cell information of multiple second energy storage cells in the energy storage system information.

[0143] Among them, the discharge parameter refers to the discharge power, which is the discharge power of the energy storage cell when it releases electricity to the target grid.

[0144] In one possible implementation, the grid information includes the current power demand and the power demand fluctuation rate; the second-unit information includes unit capacity information and unit discharge information; the discharge parameter includes the target discharge power; and the control device determines the average unit discharge power of each second-unit energy storage cell based on the current power demand and the number of the plurality of second-unit energy storage cells. For any one of the plurality of second-unit energy storage cells, the control device determines the initial discharge power of the second-unit energy storage cell based on the average unit discharge power, the power demand fluctuation rate, and the unit capacity information. Finally, the control device determines the target discharge power of the second-unit energy storage cell based on the current power demand, the initial discharge power of the plurality of second-unit energy storage cells, and the unit discharge information of the second-unit energy storage cell.

[0145] Among them, the sum of the target discharge power of the plurality of second energy storage cells is greater than or equal to the current demand power.

[0146] To provide a clearer explanation of the above embodiments, the following description is divided into several parts.

[0147] Part 1: The control equipment determines the average discharge power of each of the multiple second energy storage cells based on the current power demand and the number of the multiple second energy storage cells.

[0148] In one possible implementation, the control device divides the current required power by the number of the plurality of second energy storage cells to obtain the average discharge power of each second energy storage cell.

[0149] The second part involves the control equipment determining the initial discharge power of the second energy storage cell based on the average single-cell discharge power, the demand power fluctuation rate, and the single-cell capacity information.

[0150] In one possible implementation, the control device determines a third power correction factor for the second energy storage cell based on the demand power fluctuation rate and the cell capacity information. The control device multiplies the third power correction factor by the average cell discharge power to obtain the initial discharge power of the second energy storage cell.

[0151] For example, the single-unit capacity information includes the current remaining capacity. The control device inputs the demand power fluctuation rate and the current remaining capacity into a second correction coefficient determination model. Using this model, features are extracted from the demand power fluctuation rate and the current remaining capacity to obtain a second volatility feature of the demand power fluctuation rate and a second capacity information feature of the current remaining capacity. The control device then uses the second correction coefficient determination model to perform weighted fusion of the second volatility feature and the second capacity information feature to obtain a third correction coefficient determination feature. Finally, the control device uses the second correction coefficient determination model to perform a fully connected and normalized operation on the third correction coefficient determination feature to obtain a third power correction coefficient for the second energy storage unit. Finally, the control device multiplies this third power correction coefficient by the average single-unit discharge power to obtain the initial discharge power of the second energy storage unit.

[0152] For example, the control device inputs the demand power volatility and the current remaining capacity into a second correction coefficient determination model. Using this model, multiple full connections are performed on the demand power volatility and the current remaining capacity to obtain a second volatility feature of the demand power volatility and a second capacity information feature of the current remaining capacity. The control device then uses the second correction coefficient determination model to perform a weighted fusion of the second volatility feature and the second capacity information feature to obtain a third correction coefficient determination feature. Finally, the control device uses the second correction coefficient determination model to perform a full connection and normalization on the third correction coefficient determination feature to obtain a third power correction coefficient for the second energy storage unit. Finally, the control device multiplies this third power correction coefficient by the average single-unit discharge power to obtain the initial discharge power of the second energy storage unit.

[0153] Part Three: The control device determines the target discharge power of the second energy storage cell based on the current required power, the initial discharge power of the plurality of second energy storage cells, and the cell discharge information of the second energy storage cell.

[0154] In one possible implementation, the individual cell discharge information includes discharge conversion efficiency, peak discharge power, and average discharge power. The control device determines a fourth power correction coefficient for each second energy storage cell based on these parameters. The control device multiplies the fourth power correction coefficient of each second energy storage cell by the initial discharge power to obtain a first reference discharge power for each second energy storage cell. If the sum of the first reference discharge powers of multiple second energy storage cells is greater than or equal to the current required power, the control device determines the first reference discharge power of each second energy storage cell as the target discharge power for that cell. If the sum of the first reference discharge powers of multiple second energy storage cells is less than the current required power, the control device subtracts the current required power from the sum of the first reference discharge powers of multiple second energy storage cells and divides this subtracted power by the number of second energy storage cells to obtain a discharge power correction amount. The control device adds the first reference discharge power of each second energy storage cell to this discharge power correction amount to obtain the target discharge power for each second energy storage cell.

[0155] To provide a clearer explanation of the above embodiments, the method for determining the fourth power correction coefficient in the above embodiments will be described below.

[0156] In some embodiments, the control device substitutes the discharge conversion efficiency, peak discharge power, and average discharge power of each second energy storage cell into the seventh relational data to obtain the fourth power correction coefficient for each second energy storage cell.

[0157] The seventh relational data is used to represent the correspondence between the discharge conversion efficiency, peak discharge power, and average discharge power and the fourth power correction coefficient. This seventh relational data is a relational function, which is set by technicians according to the actual situation. This application embodiment does not limit this.

[0158] 306. The control equipment uses the energy storage parameters of each first energy storage cell to perform current-cycle control on the multiple first energy storage cells through the photovoltaic-energy storage integrated converter, and uses the discharge parameters of each second energy storage cell to perform current-cycle control on the multiple second energy storage cells.

[0159] Among them, the photovoltaic-storage integrated converter can control the current and voltage of the energy storage unit, thereby realizing the control of energy storage power or discharge power.

[0160] In one possible implementation, the control device, through the integrated photovoltaic-energy storage converter, determines the energy storage current and voltage of each first energy storage cell based on the energy storage parameters and information of each first energy storage cell. Using the energy storage current and voltage of each first energy storage cell, the control device performs this round of control on each first energy storage cell. Similarly, the control device, through the integrated photovoltaic-energy storage converter, determines the discharge current and voltage of each second energy storage cell based on the discharge parameters and information of each second energy storage cell. Using the discharge current and voltage of each second energy storage cell, the control device performs this round of control on each second energy storage cell.

[0161] To provide a clearer explanation of the above embodiments, the following description is divided into several parts.

[0162] Part 1: Based on the energy storage parameters and information of each first energy storage cell, determine the energy storage current and energy storage voltage of each first energy storage cell.

[0163] In one possible implementation, the energy storage parameter is the energy storage power, which is the power of the energy storage cell when it is charging. The first cell information includes cell capacity information and cell energy storage information. The energy storage voltage of each first energy storage cell is obtained by querying a second relational table using the cell capacity information and cell energy storage information. The energy storage current of each first energy storage cell is obtained by dividing the energy storage power by the energy storage voltage.

[0164] The second relation table stores multiple unit capacity information, multiple unit energy storage information, and multiple energy storage voltages. Each energy storage voltage corresponds to one capacity information and one unit energy storage information. The corresponding energy storage voltage can be found in the second relation table using the unit capacity information and the unit energy storage information.

[0165] The second part involves using the energy storage current and energy storage voltage of each first energy storage cell to perform this round of control.

[0166] In one possible implementation, the photovoltaic-storage integrated converter adjusts the charging current of each first energy storage cell to the energy storage current and the charging voltage to the energy storage voltage to achieve this round of control.

[0167] Part Three: Based on the discharge parameters and information of each second energy storage cell, determine the discharge current and discharge voltage of each second energy storage cell.

[0168] In one possible implementation, the discharge parameter is the discharge power, which is the power of the energy storage cell during discharge. The second cell information includes cell capacity information and cell discharge information. The discharge voltage of each second energy storage cell is obtained by querying a third relation table using the cell capacity information and cell discharge information. The discharge current of each second energy storage cell is obtained by dividing the discharge power by the discharge voltage.

[0169] The third relation table stores multiple individual cell capacity information, multiple individual cell discharge information, and multiple discharge voltages. Each discharge voltage corresponds to one capacity information and one individual cell discharge information. The corresponding discharge voltage can be found in the third relation table using the individual cell capacity information and the individual cell discharge information.

[0170] Part Four: The control equipment uses the discharge current and discharge voltage of each second energy storage cell to perform this round of control through the integrated photovoltaic-energy storage converter.

[0171] In one possible implementation, the photovoltaic-storage integrated converter adjusts the discharge current of each second energy storage cell to the discharge current and the discharge voltage to the discharge voltage to achieve current-cycle control.

[0172] All of the above-mentioned optional technical solutions can be combined in any way to form the optional embodiments of this application, and will not be described in detail here.

[0173] The technical solution provided in this application obtains photovoltaic power generation information of photovoltaic power generation modules, grid information of the target power grid, and energy storage system information of the energy storage system. Based on the photovoltaic power generation information, grid information, and energy storage system information, multiple first energy storage units for energy storage and multiple second energy storage units for energy release are determined from multiple energy storage units. Based on the first unit information of the multiple first energy storage units in the photovoltaic power generation information and energy storage system information, the energy storage parameters of each first energy storage unit are determined. Based on the second unit information of the multiple second energy storage units in the grid information and energy storage system information, the discharge parameters of the second energy storage units are determined. A photovoltaic-energy storage integrated converter is used to control the multiple first energy storage units in this round using the energy storage parameters of each first energy storage unit, and to control the multiple second energy storage units in this round using the energy storage parameters of each second energy storage unit, thereby achieving dynamic control of the energy storage system to meet the comprehensive needs of the current photovoltaic power generation modules and the target power grid.

[0174] Figure 4 This is a schematic diagram of the power conversion management system for an integrated photovoltaic-storage converter provided in an embodiment of this application. See also... Figure 4The system includes: an acquisition module 401, an energy storage unit determination module 402, an energy storage parameter determination module 403, a discharge parameter determination module 404, and a control module 405.

[0175] The acquisition module 401 is used to acquire photovoltaic power generation information of the photovoltaic power generation module, grid information of the target power grid, and energy storage system information of the energy storage system. The energy storage system includes multiple energy storage units. The target power grid is a grid that is supplemented by power from the target photovoltaic system. The target photovoltaic system includes the photovoltaic power generation module, the energy storage system, and the photovoltaic-energy storage integrated converter. The photovoltaic power generation module and the energy storage system are respectively connected to the photovoltaic-energy storage integrated converter.

[0176] The energy storage unit determination module 402 is used to determine multiple first energy storage units and multiple second energy storage units from the multiple energy storage units based on the photovoltaic power generation information, the power grid information and the energy storage system information. The first energy storage unit is the energy storage unit that stores electricity in this round, and the second energy storage unit is the energy storage unit that releases electricity in this round.

[0177] The energy storage parameter determination module 403 is used to determine the energy storage parameters of each first energy storage unit based on the photovoltaic power generation information and the first unit information of multiple first energy storage units in the energy storage system information.

[0178] The discharge parameter determination module 404 is used to determine the discharge parameters of each second energy storage cell based on the grid information and the second cell information of multiple second energy storage cells in the energy storage system information.

[0179] The control module 405 is used to perform current-cycle control of the plurality of first energy storage cells by using the energy storage parameters of each of the first energy storage cells through the photovoltaic-energy storage integrated converter, and to perform current-cycle control of the plurality of second energy storage cells by using the discharge parameters of each of the second energy storage cells.

[0180] It should be noted that the power conversion management system for the integrated photovoltaic-storage converter provided in the above embodiments is only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the computer equipment can be divided into different functional modules to complete all or part of the functions described above. Furthermore, the power conversion management system for the integrated photovoltaic-storage converter provided in the above embodiments and the power conversion management method embodiments for the integrated photovoltaic-storage converter belong to the same concept. For details of its implementation process, please refer to the method embodiments, which will not be repeated here.

[0181] The technical solution provided in this application obtains photovoltaic power generation information of photovoltaic power generation modules, grid information of the target power grid, and energy storage system information of the energy storage system. Based on the photovoltaic power generation information, grid information, and energy storage system information, multiple first energy storage units for energy storage and multiple second energy storage units for energy release are determined from multiple energy storage units. Based on the first unit information of the multiple first energy storage units in the photovoltaic power generation information and energy storage system information, the energy storage parameters of each first energy storage unit are determined. Based on the second unit information of the multiple second energy storage units in the grid information and energy storage system information, the discharge parameters of the second energy storage units are determined. A photovoltaic-energy storage integrated converter is used to control the multiple first energy storage units in this round using the energy storage parameters of each first energy storage unit, and to control the multiple second energy storage units in this round using the energy storage parameters of each second energy storage unit, thereby achieving dynamic control of the energy storage system to meet the comprehensive needs of the current photovoltaic power generation modules and the target power grid.

[0182] Figure 5 This is a schematic diagram of a control device provided in an embodiment of this application. The control device 101 can vary significantly due to different configurations or performance. It may include one or more Central Processing Units (CPUs) 501 and one or more memories 502. The one or more memories 502 store at least one computer program, which is loaded and executed by the one or more processors 501 to implement the methods provided in the various method embodiments described above. Of course, the control device 101 may also have wired or wireless network interfaces, a keyboard, and input / output interfaces for input and output. The control device 101 may also include other components for implementing device functions, which will not be elaborated upon here.

[0183] In an exemplary embodiment, a computer-readable storage medium is also provided, such as a memory including a computer program that can be executed by a processor to perform the power conversion management method of the integrated photovoltaic-storage converter in the above embodiments. For example, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CD-ROM), magnetic tape, floppy disk, and optical data storage device, etc.

[0184] In an exemplary embodiment, a computer program product or computer program is also provided, which includes program code stored in a computer-readable storage medium. The processor of a computer device reads the program code from the computer-readable storage medium and executes the program code, causing the computer device to perform the power conversion management method of the integrated photovoltaic-storage converter described above.

[0185] In some embodiments, the computer program involved in the present application embodiments may be deployed and executed on a computer device, or executed on multiple computer devices located in one location, or executed on multiple computer devices distributed in multiple locations and interconnected through a communication network. Multiple computer devices distributed in multiple locations and interconnected through a communication network may constitute a blockchain system.

[0186] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware or by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.

[0187] The above are merely optional embodiments of this application and are not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A power conversion management method for a photovoltaic-storage integrated converter, characterized in that, The method includes: The system acquires photovoltaic power generation information of photovoltaic power generation modules, grid information of the target power grid, and energy storage system information of the energy storage system. The energy storage system includes multiple energy storage units. The target power grid is a grid that is supplemented by power from the target photovoltaic system. The target photovoltaic system includes the photovoltaic power generation modules, the energy storage system, and an integrated photovoltaic-energy storage converter. The photovoltaic power generation modules and the energy storage system are respectively connected to the integrated photovoltaic-energy storage converter. The photovoltaic power generation information includes the current photovoltaic power generation and the photovoltaic power generation fluctuation rate. Based on the photovoltaic power generation information, the power grid information, and the energy storage system information, multiple first energy storage units and multiple second energy storage units are determined from the multiple energy storage units. The first energy storage units are the energy storage units that store electrical energy in this round, and the second energy storage units are the energy storage units that release electrical energy in this round. Based on the current photovoltaic power generation and the number of the plurality of first energy storage units, the average energy storage power of each first energy storage unit is determined; for any first energy storage unit among the plurality of first energy storage units, the initial energy storage power of the first energy storage unit is determined based on the average energy storage power, the photovoltaic power generation volatility, and the unit capacity information of the first energy storage unit; based on the current photovoltaic power generation, the initial energy storage power of the plurality of first energy storage units, and the unit energy storage information of the first energy storage unit, the energy storage parameters of the first energy storage unit are determined, the energy storage parameters including the target energy storage power; wherein, the sum of the target energy storage powers of the plurality of first energy storage units is greater than or equal to the current photovoltaic power generation; Based on the second-cell information of multiple second-cell energy storage units in the power grid information and the energy storage system information, the discharge parameters of each second-cell energy storage unit are determined. The photovoltaic-storage integrated converter uses the energy storage parameters of each of the first energy storage cells to perform current-cycle control on the plurality of first energy storage cells, and uses the discharge parameters of each of the second energy storage cells to perform current-cycle control on the plurality of second energy storage cells.

2. The method according to claim 1, characterized in that, The energy storage system information includes individual information of each of the energy storage units. The step of determining multiple first energy storage units and multiple second energy storage units from the multiple energy storage units based on the photovoltaic power generation information, the power grid information, and the energy storage system information includes: Based on the energy storage system information, multiple first initial energy storage units and multiple second initial energy storage units are determined from the multiple energy storage units. The first initial energy storage units are energy storage units initially selected for energy storage, and the second initial energy storage units are energy storage units initially selected for energy release. Based on the photovoltaic power generation information, the power grid information, and the individual information of each energy storage unit, the plurality of first initial energy storage units and the plurality of second initial energy storage units are updated to obtain the plurality of first energy storage units and the plurality of second energy storage units.

3. The method according to claim 2, characterized in that, The individual unit information includes individual unit capacity information, individual unit energy storage information, individual unit discharge information, and individual unit status information. The step of determining multiple first initial energy storage units and multiple second initial energy storage units from the multiple energy storage units based on the energy storage system information includes: Based on the unit capacity information, unit energy storage information and unit status information of each energy storage unit, the unit energy storage parameters of each energy storage unit are determined, and the unit energy storage parameters are used to represent the strength of energy storage capacity. Based on the individual capacity information, individual discharge information and individual status information of each energy storage cell, the individual discharge parameters of each energy storage cell are determined, and the individual discharge parameters are used to represent the strength of the discharge capability. Based on the energy storage parameters and discharge parameters of each energy storage cell, a plurality of first initial energy storage cells and a plurality of second initial energy storage cells are determined from the plurality of energy storage cells.

4. The method according to claim 3, characterized in that, The single-unit capacity information includes the current remaining capacity and total capacity; the single-unit energy storage information includes energy storage conversion efficiency and energy loss rate; the single-unit status information includes single-unit temperature and single-unit continuous operating time; and the determination of single-unit energy storage parameters for each single energy storage unit based on the single-unit capacity information, single-unit energy storage information, and single-unit status information includes: For any one of the plurality of energy storage cells, a first energy storage evaluation parameter is determined based on the current remaining capacity, total capacity and energy loss rate of the energy storage cell. The first energy storage evaluation parameter is used to represent the strength of the energy storage capacity of the energy storage cell. Based on the energy conversion efficiency, temperature, and continuous operating time of the energy storage unit, a second energy storage evaluation parameter is determined for the energy storage unit. The second energy storage evaluation parameter is used to indicate the quality of the energy storage status of the energy storage unit. Based on the first energy storage evaluation parameter and the second energy storage evaluation parameter of the energy storage unit, the single-unit energy storage parameter of the energy storage unit is determined.

5. The method according to claim 3, characterized in that, The single-cell capacity information includes the current remaining capacity and capacity fluctuation rate; the single-cell discharge information includes peak discharge power, average discharge power, and discharge conversion efficiency; the single-cell status information includes single-cell temperature and cumulative discharge duration; and the determination of single-cell discharge parameters for each energy storage cell based on the single-cell capacity information, single-cell discharge information, and single-cell status information includes: For any one of the plurality of energy storage cells, a first discharge evaluation parameter is determined based on the current remaining capacity, capacity fluctuation rate and discharge conversion efficiency of the energy storage cell. The first discharge evaluation parameter is used to represent the strength of the discharge capability of the energy storage cell. Based on the peak discharge power, average discharge power, and cumulative discharge duration of the energy storage cell, a second discharge evaluation parameter for the energy storage cell is determined. The second discharge evaluation parameter is used to indicate the quality of the discharge state of the energy storage cell. Based on the cell temperature, current remaining capacity, and cumulative discharge duration of the energy storage cell, a third discharge evaluation parameter is determined for the energy storage cell. The third discharge evaluation parameter is used to represent the level of discharge state stability of the energy storage cell. Based on the first discharge evaluation parameter, the second discharge evaluation parameter, and the third discharge evaluation parameter of the energy storage cell, the cell discharge parameters are determined.

6. The method according to claim 2, characterized in that, The photovoltaic power generation information includes the current photovoltaic power generation capacity and the photovoltaic power generation capacity fluctuation rate; the grid information includes the current demand power and the demand power fluctuation rate; the individual unit information includes individual unit capacity information, individual unit energy storage information, and individual unit discharge information; the updating of the plurality of first initial energy storage units and the plurality of second initial energy storage units based on the photovoltaic power generation information, the grid information, and the individual unit information of each of the energy storage units, to obtain the plurality of first energy storage units and the plurality of second energy storage units, includes: Based on the current photovoltaic power generation, the photovoltaic power generation volatility, and the unit capacity information and unit energy storage information of each of the first initial energy storage units, a first update parameter is determined for each of the first initial energy storage units. The first update parameter is used to indicate the degree of matching between the first initial energy storage unit and the energy storage unit that releases electrical energy. Based on the current demand power, demand power fluctuation rate, and the single-cell capacity information and single-cell discharge information of each of the second initial energy storage cells, a second update parameter is determined for each of the second initial energy storage cells. The second update parameter is used to indicate the degree of matching of the second initial energy storage cell to the energy storage cell of electrical energy storage. The plurality of first initial energy storage units are updated based on the first update parameters of each first initial energy storage unit, and the plurality of second initial energy storage units are updated based on the second update parameters of each second initial energy storage unit, to obtain the plurality of first energy storage units and the plurality of second energy storage units.

7. The method according to claim 1, characterized in that, The grid information includes current power demand and power demand fluctuation rate; the second individual unit information includes unit capacity information and unit discharge information; the discharge parameters include target discharge power; and the determination of discharge parameters for each second energy storage unit based on the grid information and the second individual unit information of multiple second energy storage units in the energy storage system information includes: Based on the current power demand and the number of the plurality of second energy storage cells, determine the average cell discharge power of each second energy storage cell; For any one of the plurality of second energy storage cells, the initial discharge power of the second energy storage cell is determined based on the average cell discharge power, the demand power fluctuation rate, and the cell capacity information. Based on the current power demand, the initial discharge power of the plurality of second energy storage cells, and the individual discharge information of the second energy storage cells, the target discharge power of the second energy storage cells is determined. Wherein, the sum of the target discharge power of the plurality of second energy storage cells is greater than or equal to the current demand power.

8. The method according to claim 1, characterized in that, The method of using the energy storage parameters of each of the first energy storage cells to perform current-round control of the plurality of first energy storage cells through the integrated photovoltaic-energy storage converter, and using the discharge parameters of each of the second energy storage cells to perform current-round control of the plurality of second energy storage cells, includes: The photovoltaic-storage integrated converter determines the energy storage current and voltage of each first energy storage cell based on the energy storage parameters and information of each first energy storage cell; and uses the energy storage current and voltage of each first energy storage cell to perform current-cycle control on each first energy storage cell. The photovoltaic-storage integrated converter determines the discharge current and discharge voltage of each second energy storage cell based on the discharge parameters and information of each second energy storage cell; and uses the discharge current and discharge voltage of each second energy storage cell to perform current-cycle control on each second energy storage cell.

9. A power conversion management system for an integrated photovoltaic-storage converter, characterized in that, The system includes: The acquisition module is used to acquire photovoltaic power generation information of photovoltaic power generation modules, grid information of the target power grid, and energy storage system information of the energy storage system. The energy storage system includes multiple energy storage units. The target power grid is a grid that is supplemented by power from the target photovoltaic system. The target photovoltaic system includes the photovoltaic power generation modules, the energy storage system, and a photovoltaic-energy storage integrated converter. The photovoltaic power generation modules and the energy storage system are respectively connected to the photovoltaic-energy storage integrated converter. The photovoltaic power generation information includes the current photovoltaic power generation power and the photovoltaic power generation power fluctuation rate. The energy storage unit determination module is used to determine multiple first energy storage units and multiple second energy storage units from the multiple energy storage units based on the photovoltaic power generation information, the power grid information and the energy storage system information. The first energy storage units are the energy storage units that store electrical energy in this round, and the second energy storage units are the energy storage units that release electrical energy in this round. The energy storage parameter determination module is used to determine the average energy storage power of each of the plurality of first energy storage units based on the current photovoltaic power generation and the number of the plurality of first energy storage units; for any one of the plurality of first energy storage units, the module determines the initial energy storage power of the first energy storage unit based on the average energy storage power, the photovoltaic power generation volatility, and the unit capacity information of the first energy storage unit; and determines the energy storage parameters of the first energy storage unit based on the current photovoltaic power generation, the initial energy storage power of the plurality of first energy storage units, and the unit energy storage information of the first energy storage unit, wherein the energy storage parameters include the target energy storage power; wherein the sum of the target energy storage powers of the plurality of first energy storage units is greater than or equal to the current photovoltaic power generation. The discharge parameter determination module is used to determine the discharge parameters of each second energy storage cell based on the second cell information of multiple second energy storage cells in the power grid information and the energy storage system information. The control module is used to control the plurality of first energy storage cells in this round using the energy storage parameters of each of the first energy storage cells through the photovoltaic-energy storage integrated converter, and to control the plurality of second energy storage cells in this round using the discharge parameters of each of the second energy storage cells.

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