Power feature generation method and device of energy storage system, computer equipment, readable storage medium and program product

Abstract

The invention relates to a power characteristic generation method and device of an energy storage system, computer equipment, a readable storage medium and a program product, and is applied to the technical field of data processing, and the method comprises the steps: obtaining energy storage power information and a first power characteristic matrix of the energy storage system, selecting multiple pieces of target energy storage power sub-information from the energy storage power information, the power characteristic matrix comprises at least one of a first characteristic value and a second characteristic value, the first characteristic value represents a charging state of an energy storage device in the energy storage system, and the second characteristic value represents a discharging state of the energy storage device in the energy storage system; according to power distribution condition information corresponding to the energy storage system, the multiple pieces of target energy storage power sub-information, a zero value and the first power characteristic matrix are fused, a second power characteristic matrix is obtained, and the zero value represents the stagnation state of an energy storage device in the energy storage system; and generating power characteristics of the energy storage system according to the second power characteristic matrix. By adopting the method, the power characteristic generation accuracy of the energy storage system can be improved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for generating power characteristics of an energy storage system. Background Art

[0002] With the widespread adoption of energy storage systems, the demand for their control is increasing. By constructing the power signature of an energy storage system, we can distinguish the sources of power fluctuations in different frequency bands or time periods. For example, short-term fluctuations may be caused by load changes, while long-term fluctuations may be related to the charging and discharging process of the energy storage device or the external grid status. This helps to better understand the operating characteristics of energy storage systems under different circumstances. The power signature of an energy storage system can help analyze the power requirements of the energy storage system at different time scales, thereby formulating more precise energy management strategies.

[0003] Currently, when a preset transformation method (for example, Fourier transform) is usually used to generate the power characteristics of an energy storage system, due to the limitations of its transformation characteristics, the generated power characteristics may be unable to represent the stagnant state of the energy storage system, resulting in low accuracy in the generation of the power characteristics of the energy storage system. Summary of the Invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for generating power characteristics of an energy storage system, which can improve the accuracy of power characteristics generation of the energy storage system, in order to address the above technical problems.

[0005] In a first aspect, the present application provides a method for generating a power signature of an energy storage system, comprising:

[0006] Obtaining energy storage power information and a first power characteristic matrix of the energy storage system, and selecting multiple target energy storage power sub-information from the energy storage power information, wherein the power characteristic matrix includes at least one of a first eigenvalue and a second eigenvalue, the first eigenvalue representing a charging state of an energy storage device in the energy storage system, and the second eigenvalue representing a discharging state of the energy storage device in the energy storage system;

[0007] According to the power distribution status information corresponding to the energy storage system, the plurality of target energy storage power sub-information, the zero value, and the first power characteristic matrix are merged to obtain a second power characteristic matrix, wherein the zero value is used to characterize the stagnant state of the energy storage device in the energy storage system;

[0008] A power characteristic of the energy storage system is generated according to the second power characteristic matrix.

[0009] In a second aspect, the present application further provides a power signature generating device for an energy storage system, comprising:

[0010] An acquisition module is configured to acquire energy storage power information and a first power characteristic matrix of the energy storage system, and select a plurality of target energy storage power sub-information from the energy storage power information, wherein the power characteristic matrix includes at least one of a first eigenvalue and a second eigenvalue, the first eigenvalue representing a charge state of an energy storage device in the energy storage system, and the second eigenvalue representing a discharge state of the energy storage device in the energy storage system;

[0011] a fusion module, configured to fuse the plurality of target energy storage power sub-information, the zero value, and the first power characteristic matrix according to the power distribution status information corresponding to the energy storage system, to obtain a second power characteristic matrix, wherein the zero value is used to characterize the stagnant state of the energy storage device in the energy storage system;

[0012] A generating module is used to generate the power characteristics of the energy storage system according to the second power characteristic matrix.

[0013] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0014] Obtaining energy storage power information and a first power characteristic matrix of the energy storage system, and selecting multiple target energy storage power sub-information from the energy storage power information, wherein the power characteristic matrix includes at least one of a first eigenvalue and a second eigenvalue, the first eigenvalue representing a charging state of an energy storage device in the energy storage system, and the second eigenvalue representing a discharging state of the energy storage device in the energy storage system;

[0015] According to the power distribution status information corresponding to the energy storage system, the plurality of target energy storage power sub-information, the zero value, and the first power characteristic matrix are merged to obtain a second power characteristic matrix, wherein the zero value is used to characterize the stagnant state of the energy storage device in the energy storage system;

[0016] A power characteristic of the energy storage system is generated according to the second power characteristic matrix.

[0017] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0018] Obtaining energy storage power information and a first power characteristic matrix of the energy storage system, and selecting multiple target energy storage power sub-information from the energy storage power information, wherein the power characteristic matrix includes at least one of a first eigenvalue and a second eigenvalue, the first eigenvalue representing a charging state of an energy storage device in the energy storage system, and the second eigenvalue representing a discharging state of the energy storage device in the energy storage system;

[0019] According to the power distribution status information corresponding to the energy storage system, the plurality of target energy storage power sub-information, the zero value, and the first power characteristic matrix are merged to obtain a second power characteristic matrix, wherein the zero value is used to characterize the stagnant state of the energy storage device in the energy storage system;

[0020] A power characteristic of the energy storage system is generated according to the second power characteristic matrix.

[0021] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the following steps:

[0022] Obtaining energy storage power information and a first power characteristic matrix of the energy storage system, and selecting multiple target energy storage power sub-information from the energy storage power information, wherein the power characteristic matrix includes at least one of a first eigenvalue and a second eigenvalue, the first eigenvalue representing a charging state of an energy storage device in the energy storage system, and the second eigenvalue representing a discharging state of the energy storage device in the energy storage system;

[0023] According to the power distribution status information corresponding to the energy storage system, the plurality of target energy storage power sub-information, the zero value, and the first power characteristic matrix are merged to obtain a second power characteristic matrix, wherein the zero value is used to characterize the stagnant state of the energy storage device in the energy storage system;

[0024] A power characteristic of the energy storage system is generated according to the second power characteristic matrix.

[0025] The above-mentioned power characteristic generation method, device, computer equipment, computer-readable storage medium and computer program product of the energy storage system obtain energy storage power information and a first power characteristic matrix of the energy storage system, and select multiple target energy storage power sub-information from the energy storage power information, wherein the power characteristic matrix includes at least one of a first eigenvalue and a second eigenvalue, the first eigenvalue represents the charging state of the energy storage device in the energy storage system, and the second eigenvalue represents the discharging state of the energy storage device in the energy storage system; according to the power distribution status information corresponding to the energy storage system, the multiple target energy storage power sub-information, zero value and the first power characteristic matrix are fused to obtain a second power characteristic matrix, wherein the zero value is used to represent the stagnant state of the energy storage device in the energy storage system; according to the second power characteristic matrix, the power characteristics of the energy storage system are generated.

[0026] In this way, the energy storage power information and the first power characteristic matrix of the energy storage system are first obtained, and multiple target energy storage power sub-information are selected from the energy storage power information. The multiple target energy storage power sub-information, the zero value and the first power characteristic matrix are fused with the power distribution status information corresponding to the energy storage system. The basic fusion matrix obtained by fusion includes the first eigenvalue representing the charging state of the energy storage device in the energy storage system, the second eigenvalue representing the discharging state of the energy storage device in the energy storage system, and the zero value representing the stagnant state of the energy storage device in the energy storage system. The second power characteristic matrix is ​​the basis for generating the power characteristics of the energy storage system, thereby improving the accuracy of the power characteristic generation of the energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0028] Figure 1 A diagram illustrating an application environment of a method for generating power characteristics of an energy storage system according to an embodiment;

[0029] Figure 2 1 is a flow chart of a method for generating power characteristics of an energy storage system in one embodiment;

[0030] Figure 3 A schematic diagram of a power linear graph generated in one embodiment;

[0031] Figure 41. A flowchart illustrating the steps of fusing multiple target energy storage power sub-information, zero values, and a first power characteristic matrix to obtain a second power characteristic matrix according to power distribution status information corresponding to an energy storage system in one embodiment.

[0032] Figure 5 1. A flowchart of the steps of selecting multiple target energy storage power sub-information from energy storage power information in one embodiment;

[0033] Figure 6 is a structural block diagram of a power signature generating device for an energy storage system in one embodiment;

[0034] Figure 7 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0036] It should be noted that the information (e.g., energy storage power information, power distribution status information, first stagnation state information, second stagnation state information, and third stagnation state information) and data (including but not limited to data used for analysis, storage, and display) involved in this application are all authorized by the user or fully authorized by all parties, and the acquisition, transmission, storage, use, and processing of the relevant data comply with relevant national laws and regulations. Users can reject or conveniently reject content pushed to them (e.g., the first power feature matrix, the second power feature matrix, power features, the basic fusion matrix, the basic fusion recursive matrix, and multiple target energy storage power sub-information). In the embodiments of this application, certain existing industry solutions, such as software, components, and models, may be mentioned. These should be considered exemplary and intended solely to illustrate the feasibility of implementing the technical solutions of this application. They do not imply that the applicant has or will necessarily use such solutions.

[0037] It's understandable that the power signature of an energy storage system is intended to better schedule the system's charging, discharging, and stagnation times, optimizing the system's economic benefits and operational efficiency. By constructing a power signature for an energy storage system, potential instability factors, such as excessive instantaneous power fluctuations or sustained power fluctuations, can be identified in advance, enabling necessary control measures to be taken and enhancing the system's control stability. Generating a power signature for an energy storage system helps analyze the system's charging and discharging patterns, thereby inferring its future performance and lifespan. Because frequent, prolonged deep charging and discharging cycles can cause damage to the energy storage system, constructing a power signature for the energy storage system allows for earlier assessment of its health, thereby extending its service life. Furthermore, analyzing the power signature of an energy storage system can identify anomalies during operation. For example, abnormal power fluctuations in a specific frequency band may indicate a component failure or maintenance requirements. The above analysis demonstrates that constructing a power signature for an energy storage system is closely linked to its normal operation, lifespan reduction, and control stability. Therefore, a method for accurately constructing a power signature for an energy storage system is urgently needed.

[0038] The power characteristics generation method of the energy storage system provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. The energy storage system 102 and the terminal 104 communicate with the server 106 via a network respectively. The data storage system can store data that the server 106 needs to process. The data storage system can be integrated on the server 106, or placed on a cloud or other network server. The server 106 receives the energy storage power information of the energy storage system 102 sent by the energy storage system 102, obtains a first power characteristic matrix of the energy storage system 102, and selects multiple target energy storage power sub-information from the energy storage power information, wherein the power characteristic matrix includes at least one of a first eigenvalue and a second eigenvalue, the first eigenvalue represents the charging state of the energy storage device in the energy storage system 102, and the second eigenvalue represents the discharging state of the energy storage device in the energy storage system 102; according to the power distribution status information corresponding to the energy storage system 102, the multiple target energy storage power sub-information, the zero value and the first power characteristic matrix are fused to obtain a second power characteristic matrix, wherein the zero value is used to represent the stagnant state of the energy storage device in the energy storage system 102; based on the second power characteristic matrix, the power characteristics of the energy storage system 102 are generated. Server 106 can push at least one of the first power feature matrix, the second power feature matrix, the power features, the basic fusion matrix, the basic fusion recursive matrix, and multiple target energy storage power sub-information to terminal 104. Terminal 104 can include, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, smart car devices, projectors, and the like. Portable wearable devices can include smart watches, smart bracelets, head-mounted devices, and the like. Head-mounted devices can include virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, and the like. Server 106 can be a standalone physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server providing cloud computing services.

[0039] In an exemplary embodiment, Figure 2 As shown, a method for generating power characteristics of an energy storage system is provided, and the method is applied to Figure 1 The server 106 in FIG. 1 is taken as an example to illustrate the process, including the following steps 202 to 206. In which:

[0040] Step 202: Obtain energy storage power information and a first power characteristic matrix of the energy storage system, and select multiple target energy storage power sub-information from the energy storage power information, wherein the power characteristic matrix includes at least one of a first eigenvalue and a second eigenvalue, the first eigenvalue represents the charging state of the energy storage device in the energy storage system, and the second eigenvalue represents the discharging state of the energy storage device in the energy storage system.

[0041] The energy storage system in step 202 includes at least one energy storage device. The energy storage power information is used to characterize the operating power status of the energy storage system at multiple times (times herein may be time points or time periods, without limitation). The energy storage power information may include multiple energy storage power sub-information, each of which includes a specific operating power value of the energy storage system at a specific time. The operating power value may be one of a first characteristic value, a second characteristic value, and a zero value. For example, the energy storage power sub-information a is (t1, p1). The energy storage power information may also include an energy storage system power curve. The energy storage system power curve characterizes the correspondence between time and the operating power value of the energy storage system. For example, with time as the horizontal axis and the operating power value of the energy storage system as the vertical axis, a curve drawn from multiple coordinate points (coordinate points consisting of multiple times and corresponding operating power values) serves as the power curve of the energy storage system.

[0042] When the first eigenvalue is 1, the second eigenvalue is -1; when the first eigenvalue is -1, the second eigenvalue is 1.

[0043] Exemplarily, obtaining energy storage power information of the energy storage system includes: sending an energy storage power query request to the energy storage system, and obtaining energy storage power information of the energy storage system sent by the energy storage system after receiving the energy storage power query request.

[0044] As an embodiment, obtaining a first power characteristic matrix includes: constructing a matrix in which elements of any two rows or columns are orthogonal to obtain a first power characteristic matrix. At this time, the matrix type of the first power characteristic matrix is ​​a Hadamard basic matrix type, and the first power characteristic matrix is ​​a matrix with an order of positive integers (the number of rows and columns corresponds to the order). The elements contained in the first power characteristic matrix are 1 and -1. For example, when the order is 1, the first power characteristic matrix can be .

[0045] As another embodiment, obtaining a first power characteristic matrix includes: determining the number of information to be eliminated based on the stagnation state ratio of multiple energy storage devices, wherein the higher the stagnation state ratio, the greater the number of information to be eliminated; determining the difference between the number of selected information and the number of information to be eliminated for multiple target energy storage power sub-information as the number of rows and columns to be constructed in the matrix; constructing a first power characteristic matrix whose number of rows and columns is an orthogonal relationship between elements of the number of rows and columns to be constructed in the matrix, wherein the first power characteristic matrix can be obtained by recursion.

[0046] Exemplarily, selecting a plurality of target energy storage power sub-information from the energy storage power information includes: acquiring an information selection quantity, and selecting a plurality of target energy storage power sub-information from the energy storage power information according to the information selection quantity.

[0047] Further, as an embodiment, obtaining the number of information selections includes: obtaining the number of information selections set by the user.

[0048] As another embodiment, obtaining the number of selected information includes: obtaining operating characteristics of the energy storage system, and determining the number of selected information according to the operating characteristics.

[0049] In this way, it can be ensured that the time distribution corresponding to the power characteristics of the generated energy storage system meets user expectations.

[0050] As one embodiment, determining the number of information to be selected based on operating characteristics includes: extracting periodic change features in the operating characteristics, and determining the number of information to be selected based on the periodic change features, wherein the more frequent the periodic changes represented by the periodic change features, the greater the number of information to be selected.

[0051] In this way, considering that the energy storage power information of the energy storage system is essentially the charging and discharging conditions of the energy storage system, the energy storage power change of the energy storage system is a time-series change. Therefore, by analyzing the periodic change characteristics in the operating characteristics of the energy storage system, it is possible to ensure that the power characteristics of the constructed energy storage system can represent the frequency change conditions of the periodic energy storage system.

[0052] As another embodiment, determining the number of selected information based on the operating characteristics includes: extracting power distribution features from the operating characteristics, and determining the number of selected information based on the power distribution features.

[0053] In this way, the amount of information to be selected is determined based on the power distribution characteristics, thereby ensuring that the power characteristics of the constructed energy storage system can characterize the frequency change status of the complete energy storage system as much as possible.

[0054] In step 204 , based on the power distribution status information corresponding to the energy storage system, multiple target energy storage power sub-information, zero values, and the first power characteristic matrix are fused to obtain a second power characteristic matrix, wherein the zero value is used to represent the stagnant state of the energy storage device in the energy storage system.

[0055] Exemplarily, step 204 includes: determining fused zero-value information based on power distribution status information corresponding to the energy storage system, and fusing multiple target energy storage power sub-information, zero values, and the first power characteristic matrix based on the fused zero-value information to obtain a second power characteristic matrix.

[0056] Step 206: Generate power characteristics of the energy storage system according to the second power characteristic matrix.

[0057] The power characteristics in step 206 are used to characterize the operating power distribution of each type of energy storage device or each energy storage device at each time. The power characteristics may include the motion power values ​​of multiple energy storage devices (corresponding to each type of energy storage device or each energy storage device mentioned above) at each time. The power characteristics may also include multiple decomposed power linear graphs, each power linear graph corresponding to a type of energy storage device, and each power linear graph characterizing the correspondence between a time period and the operating power value of the corresponding energy storage device. For example, with the time period as the horizontal axis and the operating power value of the corresponding energy storage device as the vertical axis, a line drawn from multiple coordinate points (coordinate points consisting of multiple time periods and corresponding operating power values) serves as a power linear graph. The power linear graph may be a broken line graph or a curve graph, without limitation herein.

[0058] As an embodiment, step 206 includes: determining each row element in the second power characteristic matrix as the operating power value of each energy storage device at each time.

[0059] As another embodiment, step 206 includes: generating a plurality of power linear graphs according to each row of elements in the second power characteristic matrix, wherein each point in each power linear graph corresponds to each element in each row of elements.

[0060] Optionally, the second power characteristic matrix is ​​as follows: , and the time interval corresponding to multiple target energy storage power sub-information is 1 / 9, and the range is 0-1, then the generated power linear graph can refer to Figure 3 .

[0061] Optionally, after step 206 , the method further includes: performing power control on the energy storage system according to the power characteristics of the energy storage system.

[0062] Furthermore, the energy storage system is power controlled according to the power characteristics of the energy storage system, including: controlling each energy storage device separately according to the operating power value of each energy storage device at each time represented by the power characteristics of the energy storage system.

[0063] In the above-mentioned method for generating power characteristics of an energy storage system, energy storage power information and a first power characteristic matrix of the energy storage system are first obtained, multiple target energy storage power sub-information is selected from the energy storage power information, and the multiple target energy storage power sub-information, the zero value, and the first power characteristic matrix are fused based on the power distribution status information corresponding to the energy storage system. The fused basic fusion matrix includes both the first eigenvalue representing the charging state of the energy storage device in the energy storage system and the second eigenvalue representing the discharging state of the energy storage device in the energy storage system, as well as the zero value representing the stagnant state of the energy storage device in the energy storage system. The second power characteristic matrix is ​​the basis for generating the power characteristics of the energy storage system, thereby improving the accuracy of the power characteristic generation of the energy storage system.

[0064] In an exemplary embodiment, Figure 4 As shown, a method for accurately performing matrix fusion is provided, and according to the power distribution status information corresponding to the energy storage system, multiple target energy storage power sub-information, zero value and the first power characteristic matrix are fused to obtain a second power characteristic matrix, including steps 302 to 304. Among them:

[0065] Step 302 : Generate fused zero value information according to the matrix type of the first power characteristic matrix and the power distribution status information corresponding to the energy storage system, wherein the fused zero value information includes the number of fused zero values ​​and the position of fused zero values.

[0066] Exemplarily, step 302 includes: when the matrix type is a Hadamard basic matrix type, extracting stagnation state information of the energy storage system from the power distribution status information corresponding to the energy storage system, and generating fused zero-value information based on the stagnation state information of the energy storage system; when the matrix type is a Hadamard recursive matrix type, extracting stagnation state information of each energy storage device in the energy storage system from the power distribution status information corresponding to the energy storage system, and generating fused zero-value information based on the stagnation state information of each energy storage device.

[0067] In this way, considering that the first power characteristic matrix belonging to the Hadamard basic matrix type is a matrix that has not been recursively decomposed, it actually represents the overall operating state of the energy storage system. Therefore, based on the stagnation state information of the energy storage system, fused zero-value information is generated, thereby ensuring that the basic fused matrix obtained by matrix fusion based on the fused zero-value information matches the various stagnation states of the energy storage system; considering that the first power characteristic matrix belonging to the Hadamard recursive matrix type is a matrix after recursive decomposition, it actually represents the operating state of each energy storage device in the energy storage system. Therefore, based on the stagnation state information of each energy storage device, fused zero-value information is generated, thereby ensuring that the basic fused matrix obtained by matrix fusion based on the fused zero-value information matches the various stagnation states of each energy storage device in the energy storage system.

[0068] As an embodiment, step 302 includes: if the matrix type is a Hadamard basic matrix type, extracting first stagnation state information of the energy storage system from the power distribution status information corresponding to the energy storage system, and generating fused zero value information based on the first stagnation state information, wherein the first stagnation state information is used to characterize the stagnation state distribution status of the energy storage system corresponding to the waiting configuration.

[0069] Furthermore, extracting first stagnation state information of the energy storage system from the power distribution status information corresponding to the energy storage system includes: extracting a first stagnation state ratio and first stagnation state occurrence information of the energy storage system from the power distribution status information corresponding to the energy storage system, and determining the first stagnation state ratio and the first stagnation state occurrence information as the first stagnation state information.

[0070] As an embodiment, extracting a first stagnation state ratio of the energy storage system from the power distribution status information corresponding to the energy storage system includes: extracting a first ratio between the amount of information belonging to a stagnation state in the power information waiting to be configured corresponding to the energy storage system and the total amount of information of the power information waiting to be configured corresponding to the energy storage system from the power distribution status information corresponding to the energy storage system, and determining the first ratio as the first stagnation state ratio of the energy storage system.

[0071] As an embodiment, extracting first stagnation state occurrence information from the power distribution status information corresponding to the energy storage system includes: extracting the occurrence time of the first information belonging to the stagnation state in the power information corresponding to the energy storage system waiting to be configured from the power distribution status information corresponding to the energy storage system, and determining the occurrence time of the first information as the first stagnation state occurrence information.

[0072] As one embodiment, generating fused zero value information based on the first stagnation state information includes: generating the number of fused zero values ​​based on the first stagnation state ratio, wherein a higher first stagnation state ratio, a greater number of fused zero values ​​generated; and locating the fused zero value position based on the first stagnation state occurrence information.

[0073] It can be understood that since the second power characteristic matrix still belongs to the Hadamard matrix type, in order to ensure the orthogonality of the second power characteristic matrix, it is necessary to ensure that the number of fused zero value rows and the number of fused zero value columns represented by the number of fused zero values ​​are equal, for example, one row and one column of zero values ​​are fused; among them, the more fused zero values ​​there are, the more fused zero value rows (columns) there are.

[0074] As one embodiment, locating a fusion zero value position based on information about the occurrence of a first stagnation state includes: selecting a target fusion direction from a plurality of preset fusion directions based on the information about the occurrence of the first stagnation state, wherein the plurality of preset fusion directions include at least one of an upper left corner fusion direction, a lower left corner fusion direction, an upper right corner fusion direction, a lower right corner fusion direction, and a center fusion direction; and determining the positions of the plurality of fusion directions corresponding to the target fusion direction as fusion zero value positions.

[0075] Among them, the target adding direction corresponds to the time with the largest proportion corresponding to the stagnation state represented by the information of the occurrence of the first stagnation state. For example, when the time with the largest proportion corresponding to the stagnation state represented by the information of the occurrence of the first stagnation state is ranked at the front, the target fusion direction is the upper left corner fusion direction or the lower left corner fusion direction; when the time with the largest proportion corresponding to the stagnation state represented by the information of the occurrence of the first stagnation state is ranked at the back, the target fusion direction is the upper right corner fusion direction or the lower right corner fusion direction; when the time ranking distribution corresponding to the stagnation state represented by the information of the occurrence of the first stagnation state is relatively dispersed, the target fusion direction is the center fusion direction.

[0076] As another embodiment, step 302 includes: if the matrix type is a Hadamard recursive matrix type, extracting second stagnation state information of each energy storage device in the energy storage system from the power distribution status information corresponding to the energy storage system, and generating fused zero value information based on the second stagnation state information, wherein the second stagnation state information is used to characterize the configured stagnation state distribution status corresponding to each energy storage device.

[0077] Furthermore, extracting second stagnation state information of each energy storage device in the energy storage system from the power distribution status information corresponding to the energy storage system includes: extracting a second stagnation state ratio and second stagnation state occurrence information of each energy storage device in the energy storage system from the power distribution status information corresponding to the energy storage system, and determining the second stagnation state ratio and the second stagnation state occurrence information as the second stagnation state information.

[0078] As one embodiment, extracting a second stagnation state ratio of each energy storage device in the energy storage system from power distribution status information corresponding to the energy storage system includes: extracting, for each energy storage device, from the power distribution status information corresponding to the energy storage system, a second ratio between the amount of information belonging to a stagnation state in configured power information corresponding to the energy storage device and the total amount of information of configured power information corresponding to the energy storage device, and determining the second ratio as the second stagnation state ratio of the energy storage device.

[0079] As an embodiment, second stagnation state occurrence information of each energy storage device in the energy storage system is extracted from the power distribution status information corresponding to the energy storage system, including: for each energy storage device, extracting the occurrence time of second information belonging to the stagnation state in the configured power information corresponding to the energy storage device from the power distribution status information corresponding to the energy storage system, and determining the second information occurrence time as the second stagnation state occurrence information.

[0080] As one embodiment, generating fused zero value information based on the second stagnation state information includes: generating the number of fused zero values ​​based on the second stagnation state ratio, wherein a higher second stagnation state ratio results in a greater number of generated fused zero values; and locating the fused zero value position based on the second stagnation state occurrence information.

[0081] It can be understood that since the second power characteristic matrix still belongs to the Hadamard matrix type, in order to ensure the orthogonality of the second power characteristic matrix, it is necessary to ensure that the number of fused zero value rows and the number of fused zero value columns represented by the number of fused zero values ​​are equal, for example, one row and one column of zero values ​​are fused; among them, the more fused zero values ​​there are, the more fused zero value rows (columns) there are.

[0082] Furthermore, according to the information on the occurrence of the second stagnation state, the fusion zero value position is located, including: according to the information on the occurrence of the second stagnation state, a target fusion position is selected from a plurality of preset fusion positions, wherein the plurality of preset fusion positions include positions with the same row and column numbers, for example, the position of the first row and the first column, the position of the second row and the second column, ..., the position of the nth row and the nth column; and the positions of the plurality of fusion directions corresponding to the target fusion position are determined as the fusion zero value positions.

[0083] As an embodiment, based on the second stagnation state occurrence information, a target fusion position is selected from multiple preset fusion positions, including: based on the second stagnation state occurrence information, locating the target time information (the target time information may include a single time point or a time period consisting of multiple time points) at which the stagnation state ratio in each energy storage device is the largest; and based on the ranking of the target time information in all time periods, selecting the target fusion position from the multiple preset fusion positions, wherein the higher the ranking, the smaller the number of rows and columns corresponding to the selected target fusion position.

[0084] Step 304 : According to the zero value fusion position and the matrix type, a number of zero values ​​equal to the number of fused zero values, a plurality of target energy storage power sub-information, and the first power characteristic matrix are fused to obtain a second power characteristic matrix.

[0085] As an embodiment, when the matrix type is a Hadamard basic matrix type, step 304 includes: according to the zero value fusion position, fusing the zero values ​​equal to the number of fused zero values ​​with the first power characteristic matrix to obtain a basic fusion matrix; recursively performing a basic fusion matrix to obtain a basic fusion recursive matrix; performing a Walsh transform on the basic fusion recursive matrix and multiple target energy storage power sub-information to obtain a second power characteristic matrix.

[0086] For example, the above For example, when the target fusion direction is the upper right corner fusion direction and the number of fused zero values ​​represents adding a row and a column of zero values, the basic fusion matrix obtained by fusion is as follows: When the target fusion direction is the upper left corner fusion direction and the number of fused zero values ​​represents adding a row and a column of zero values, the basic fusion matrix obtained by fusion is as follows: When the target fusion direction is the lower right corner fusion direction and the number of fused zero values ​​represents adding a row and a column of zero values, the basic fusion matrix obtained by fusion is as follows: When the target fusion direction is the lower left corner fusion direction and the number of fused zero values ​​represents adding a row and a column of zero values, the basic fusion matrix obtained by fusion is as follows: When the target fusion direction is the central fusion direction and the number of fusion zero values ​​represents adding a row and a column of zero values, the basic fusion matrix obtained by fusion is as follows: .

[0087] As an embodiment, a basic fusion recursive matrix and a plurality of target energy storage power sub-information are subjected to Walsh transformation to obtain a second power characteristic matrix, including: performing element convergence restoration on the basic fusion recursive matrix according to the number of recursions corresponding to the basic fusion recursive matrix to obtain a first restoration matrix; and fusing the first restoration matrix with the plurality of target energy storage power sub-information respectively to obtain a second power characteristic matrix, wherein the fusion method can be a multiplication method.

[0088] Furthermore, according to the number of recursions corresponding to the basic fused recursive matrix, the basic fused recursive matrix is ​​subjected to element convergence restoration to obtain a first restored matrix, including: determining a matrix ratio between a first submatrix and a second submatrix in the basic fused recursive matrix, wherein the first submatrix belongs to the first power characteristic matrix, and the second submatrix does not belong to the first power characteristic matrix (that is, the added zero values); according to the number of recursions corresponding to the basic fused recursive matrix, the first submatrix is ​​subjected to convergence restoration to obtain a first restored submatrix; according to the number of recursions and the matrix ratio corresponding to the basic fused recursive matrix, the second submatrix is ​​first restored to obtain a second restored submatrix; and the first restored submatrix and the second restored submatrix are merged to obtain the first restored matrix.

[0089] As an embodiment, according to the number of recursions corresponding to the basic fused recursive matrix, the first submatrix is ​​convergently restored to obtain a first restored submatrix, including: multiplying each element in the first submatrix by the power of the number of recursions of 2 to obtain the first restored submatrix. For example, the number of recursions is n, and the elements in the first submatrix are , then the elements in the first reduced submatrix are .

[0090] As an embodiment, according to the recursion number and matrix ratio corresponding to the basic fused recursive matrix, the second submatrix is ​​first restored to obtain a second restored submatrix, including: multiplying each element in the second submatrix by the power of the recursion number of 2 and the matrix ratio to obtain the second restored submatrix. For example, the recursion number is n, and the elements in the second submatrix are , the matrix ratio is b, then the elements in the second reduced submatrix are .

[0091] In this way, it is ensured that the original matrix without fused zero values ​​(i.e., the first submatrix mentioned above) is converged and restored according to the original Walsh transform rule, and for the matrix with fused zero values ​​(i.e., the second submatrix mentioned above), after additional consideration of the matrix ratio, it is ensured that the matrix with fused zero values ​​does not affect the convergence of the overall matrix (the first restored matrix).

[0092] As an embodiment, the first reduction matrix is ​​respectively fused with multiple target energy storage power sub-information to obtain a second power characteristic matrix, including: fusing each element in the first reduction matrix with the power sub-information belonging to the same time in the multiple target energy storage power sub-information to obtain the second power characteristic matrix.

[0093] As another embodiment, when the matrix type is a Hadamard recursive matrix type, step 304 includes: performing Walsh transform on the first power characteristic matrix and multiple target energy storage power sub-information to obtain a transformation matrix; according to the zero value fusion position, fusing zero values ​​equal to the number of fused zero values ​​with the transformation matrix to obtain a second power characteristic matrix.

[0094] Furthermore, the first power characteristic matrix and the multiple target energy storage power sub-information are subjected to Walsh transformation to obtain a transformation matrix, including: performing element convergence restoration on the first power characteristic matrix to obtain a second restoration matrix; and fusing the second restoration matrix with the multiple target energy storage power sub-information to obtain a transformation matrix.

[0095] As an embodiment, performing element convergence restoration on the first power characteristic matrix to obtain a second restored matrix includes: performing element convergence restoration on the first power characteristic matrix according to the column number of each element in the first power characteristic matrix to obtain the second restored matrix.

[0096] Furthermore, according to the column number of each element in the first power characteristic matrix, the first power characteristic matrix is ​​subjected to element convergence restoration to obtain a second restored matrix, including: dividing each element in the first power characteristic matrix by the column number corresponding to the element to obtain the second restored matrix.

[0097] In this way, the convergence of the processed second reduction matrix can be guaranteed.

[0098] As an embodiment, the second reduction matrix is ​​fused with a plurality of target energy storage power sub-information to obtain a transformation matrix, including: multiplying each element in the second reduction matrix with the target energy storage power sub-information belonging to the same time to obtain a transformation matrix.

[0099] For example, take the transformation matrix as follows: , the zero-value fusion quantity characterizes that the number of rows and columns of fused zero values ​​is 1, and the target fusion position is the position of the third row and third column. For example, the second power feature matrix obtained after fusion is as follows: .

[0100] Optionally, the method also includes: if the number of selected information of the target energy storage power sub-information is greater than a preset number threshold, then obtaining a first power characteristic matrix whose matrix type belongs to the Hadamard basic matrix type; if the number of selected information of the target energy storage power sub-information is not greater than the preset number threshold, then obtaining a first power characteristic matrix whose matrix type belongs to the Hadamard recursive matrix type, wherein the preset number threshold can be set by the user as needed or can be an empirical value.

[0101] Considering that the fusion scheme when the matrix type of the first power characteristic matrix is ​​the Hadamard basic matrix type, is to first add zero values ​​and then perform recursion and subsequent Walsh transform to fuse to obtain the second power characteristic matrix, the position of zero values ​​in the second power characteristic matrix finally obtained by this scheme is relatively uncontrollable, but the execution efficiency of the overall scheme is higher; and the fusion scheme when the matrix type of the first power characteristic matrix is ​​the Hadamard recursive matrix type, is to first perform recursive matrix construction and then add zero values ​​and subsequent Walsh transform to fuse to obtain the second power characteristic matrix. This scheme is better than the others in controlling the position of zero values ​​in the second power characteristic matrix finally obtained, but the execution efficiency is lower.

[0102] In this way, when the number of selected information of the target energy storage power sub-information is large, which means that the subsequent matrix construction project is more complicated, then a fusion scheme is adopted in which the matrix type of the first power characteristic matrix is ​​the Hadamard basic matrix type, thereby improving the fusion efficiency of the second power characteristic matrix; when the number of selected information of the target energy storage power sub-information is small, which means that the subsequent matrix construction project is relatively simple, then a fusion scheme is adopted in which the matrix type is the Hadamard recursive matrix type, thereby improving the fusion accuracy of the matrix zero value, and thereby improving the fusion accuracy of the second power characteristic matrix.

[0103] In this embodiment, considering that the first power characteristic matrix under different matrix types focuses on different subjects, fusion zero-value information is generated based on the matrix type and the power distribution status information corresponding to the energy storage system, thereby ensuring that when zero-value fusion is subsequently performed, the zero-value fusion is adapted to the subject corresponding to the first power characteristic matrix, thereby improving the fusion accuracy of the second power characteristic matrix.

[0104] In an exemplary embodiment, Figure 5 As shown, a method for accurately selecting target energy storage power sub-information is provided, and multiple target energy storage power sub-information is selected from the energy storage power information, including steps 402 to 404. Among them:

[0105] Step 402: Generate information selection quantity according to the matrix type of the first power characteristic matrix.

[0106] The number of selected information in step 402 is less than or equal to the number of energy storage power information.

[0107] Exemplarily, step 402 includes: determining a quantity coefficient according to a matrix type of the first power characteristic matrix, and generating an information selection quantity according to the quantity coefficient.

[0108] Among them, when the matrix type is a Hadamard basic matrix type, the number coefficient is equal to the number of rows and columns of the basic fusion matrix; when the matrix type is a Hadamard recursive matrix type, the number coefficient is equal to the number of rows and columns of fused zero values.

[0109] As an embodiment, generating the number of information selections based on the number coefficient includes: when the matrix type is a Hadamard basic matrix type, determining the product between the number coefficient and the power of a preset number as the number of information selections; when the matrix type is a Hadamard recursive matrix type, determining the sum of the number coefficient and the power of a preset number as the number of information selections, wherein the preset number can be 2,

[0110] The exponent corresponding to the preset number is the same as the number of recursions.

[0111] Step 404 : Select multiple target energy storage power sub-information from the energy storage power information according to the information selection quantity.

[0112] As an embodiment, step 404 includes: randomly selecting a plurality of target energy storage power sub-information whose number is the information selection number from the energy storage power information.

[0113] In this way, the efficiency of selecting the target energy storage power sub-information can be improved.

[0114] As another embodiment, step 404 includes: uniformly selecting a plurality of target energy storage power sub-information whose number is the selected number of information from the energy storage power information.

[0115] In this way, it can be ensured that a plurality of target energy storage power sub-information is sampled for each frequency band or time period, thereby ensuring the sampling balance of the target energy storage power sub-information.

[0116] In this embodiment, considering that multiple target energy storage power sub-information is used to generate the power characteristics of the energy storage system, it is necessary to consider that each time involved in the energy storage power information needs to participate in the generation decision of the power characteristics of the energy storage system. Therefore, based on the matrix type of the first power characteristic matrix, the number of selected information is generated so that the selected number of selected information can match the first power characteristic matrix, thereby improving the accuracy of the selection of the target energy storage power sub-information.

[0117] As a detailed embodiment, according to the matrix type of the first power characteristic matrix, the number of information selections is generated; according to the number of information selections, multiple target energy storage power sub-information is selected from the energy storage power information; the first power characteristic matrix of the energy storage system is obtained; if the matrix type is a Hadamard basic matrix type, the first stagnation state information of the energy storage system is extracted from the power distribution status information corresponding to the energy storage system, and fusion zero value information is generated according to the first stagnation state information, wherein the first stagnation state information is used to characterize the stagnation state distribution status of the energy storage system corresponding to the waiting configuration; according to the zero value fusion position, the number of zero values ​​equal to the number of fusion zero values ​​is fused with the first power characteristic matrix to obtain a basic fusion matrix; the basic fusion matrix is ​​recursively performed to obtain a basic fusion recursive matrix. ; Perform Walsh transformation on the basic fusion recursive matrix and multiple target energy storage power sub-information to obtain a second power characteristic matrix; if the matrix type is a Hadamard recursive matrix type, extract the second stagnation state information of each energy storage device in the energy storage system from the power distribution status information corresponding to the energy storage system, and generate fusion zero value information based on the second stagnation state information, wherein the second stagnation state information is used to characterize the configured stagnation state distribution status corresponding to each energy storage device; Perform Walsh transformation on the first power characteristic matrix and multiple target energy storage power sub-information to obtain a transformation matrix; According to the zero value fusion position, the number of zero values ​​equal to the number of fused zero values ​​is fused with the transformation matrix to obtain a second power characteristic matrix; Based on the second power characteristic matrix, the power characteristics of the energy storage system are generated.

[0118] In this way, the energy storage power information and the first power characteristic matrix of the energy storage system are first obtained, and multiple target energy storage power sub-information are selected from the energy storage power information. The multiple target energy storage power sub-information, the zero value and the first power characteristic matrix are fused with the power distribution status information corresponding to the energy storage system. The basic fusion matrix obtained by fusion includes the first eigenvalue representing the charging state of the energy storage device in the energy storage system, the second eigenvalue representing the discharging state of the energy storage device in the energy storage system, and the zero value representing the stagnant state of the energy storage device in the energy storage system. The second power characteristic matrix is ​​the basis for generating the power characteristics of the energy storage system, thereby improving the accuracy of the power characteristic generation of the energy storage system.

[0119] Furthermore, considering that the first power characteristic matrix under different matrix types focuses on different subjects, the fusion zero-value information is generated based on the matrix type and the power distribution status information corresponding to the energy storage system, so as to ensure that when the zero-value fusion is performed subsequently, the zero-value fusion is adapted to the subject corresponding to the focus of the first power characteristic matrix, thereby improving the fusion accuracy of the second power characteristic matrix; and considering that multiple target energy storage power sub-information is used to generate the power characteristics of the energy storage system, it is necessary to consider that each time involved in the energy storage power information needs to participate in the generation decision of the power characteristics of the energy storage system, therefore, based on the matrix type of the first power characteristic matrix, the number of information selections is generated, so that the selected number of information selections can match the first power characteristic matrix, thereby improving the selection accuracy of the target energy storage power sub-information.

[0120] It should be understood that, although the steps in the flowcharts of the above embodiments are shown in sequence as indicated by the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be performed in other orders. Moreover, at least a portion of the steps in the flowcharts of the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily to be performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0121] Based on the same inventive concept, embodiments of the present application also provide a power signature generation device for an energy storage system for implementing the aforementioned method for generating a power signature for an energy storage system. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations in the embodiments of the power signature generation device for one or more energy storage systems provided below can be found in the limitations of the method for generating a power signature for an energy storage system described above and will not be further elaborated here.

[0122] In an exemplary embodiment, Figure 6 As shown, a power signature generation device 600 for an energy storage system is provided, comprising: an acquisition module 602, a fusion module 604 and a generation module 606, wherein:

[0123] An acquisition module 602 is configured to acquire energy storage power information and a first power characteristic matrix of the energy storage system, and select multiple target energy storage power sub-information from the energy storage power information, wherein the power characteristic matrix includes at least one of a first eigenvalue and a second eigenvalue, the first eigenvalue representing a charge state of an energy storage device in the energy storage system, and the second eigenvalue representing a discharge state of the energy storage device in the energy storage system;

[0124] A fusion module 604 is configured to fuse the plurality of target energy storage power sub-information, the zero value, and the first power characteristic matrix according to the power distribution status information corresponding to the energy storage system to obtain a second power characteristic matrix, wherein the zero value is used to represent the stagnant state of the energy storage device in the energy storage system;

[0125] The generating module 606 is configured to generate the power characteristics of the energy storage system according to the second power characteristic matrix.

[0126] In one embodiment, the fusion module 604 is also used to generate fused zero value information based on the matrix type of the first power characteristic matrix and the power distribution status information corresponding to the energy storage system, wherein the fused zero value information includes the number of fused zero values ​​and the fused zero value position; according to the zero value fusion position and the matrix type, the zero values ​​equal to the number of fused zero values, multiple target energy storage power sub-information and the first power characteristic matrix are fused to obtain a second power characteristic matrix.

[0127] In one embodiment, the fusion module 604 is further configured to extract first stagnation state information of the energy storage system from the power distribution status information corresponding to the energy storage system if the matrix type is a Hadamard basic matrix type, and generate fused zero value information based on the first stagnation state information, wherein the first stagnation state information is used to characterize the stagnation state distribution status of the energy storage system waiting to be configured; and if the matrix type is a Hadamard recursive matrix type, extract second stagnation state information of each energy storage device in the energy storage system from the power distribution status information corresponding to the energy storage system, and generate fused zero value information based on the second stagnation state information, wherein the second stagnation state information is used to characterize the configured stagnation state distribution status of each energy storage device.

[0128] In one embodiment, when the matrix type is a Hadamard basic matrix type, the fusion module 604 is further used to fuse zero values ​​equal to the number of fused zero values ​​with the first power characteristic matrix according to the zero value fusion position to obtain a basic fusion matrix; recursively perform a basic fusion matrix on the basic fusion matrix to obtain a basic fusion recursive matrix; and perform a Walsh transform on the basic fusion recursive matrix and multiple target energy storage power sub-information to obtain a second power characteristic matrix.

[0129] In one embodiment, when the matrix type is a Hadamard recursive matrix type, the fusion module 604 is further used to perform a Walsh transform on the first power characteristic matrix and multiple target energy storage power sub-information to obtain a transformation matrix; according to the zero value fusion position, a number of zero values ​​equal to the number of fused zero values ​​is fused with the transformation matrix to obtain a second power characteristic matrix.

[0130] In one embodiment, the acquisition module 602 is further configured to generate an information selection quantity according to the matrix type of the first power characteristic matrix; and select a plurality of target energy storage power sub-information from the energy storage power information according to the information selection quantity.

[0131] Each module in the power signature generation device for the energy storage system described above can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in hardware form, or can be stored in a computer device memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0132] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 7 As shown. The computer device includes a processor, memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals via wired or wireless communication, and the wireless communication can be achieved via Wi-Fi, a mobile cellular network, near-field communication (NFC), or other technologies. When executed by the processor, the computer program implements a method for generating power characteristics of an energy storage system. The display unit of the computer device is used to form a visually visible image, and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse.

[0133] Those skilled in the art will understand that Figure 7The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0134] In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0135] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0136] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0137] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, artificial intelligence (AI) processors, and the like.

[0138] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0139] The above embodiments merely illustrate several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art may make various modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for generating power characteristics of an energy storage system, characterized in that: The method comprises: Obtaining energy storage power information and a first power characteristic matrix of the energy storage system, and selecting multiple target energy storage power sub-information from the energy storage power information, wherein the power characteristic matrix includes at least one of a first eigenvalue and a second eigenvalue, the first eigenvalue representing a charging state of an energy storage device in the energy storage system, and the second eigenvalue representing a discharging state of the energy storage device in the energy storage system; According to the power distribution status information corresponding to the energy storage system, the plurality of target energy storage power sub-information, the zero value, and the first power characteristic matrix are merged to obtain a second power characteristic matrix, wherein the zero value is used to characterize the stagnant state of the energy storage device in the energy storage system; A power characteristic of the energy storage system is generated according to the second power characteristic matrix.

2. The method according to claim 1, characterized in that The method of fusing the plurality of target energy storage power sub-information, the zero value, and the first power characteristic matrix according to the power distribution status information corresponding to the energy storage system to obtain a second power characteristic matrix includes: Generate fused zero value information according to the matrix type of the first power characteristic matrix and the power distribution status information corresponding to the energy storage system, wherein the fused zero value information includes the number of fused zero values ​​and the position of the fused zero value; According to the zero value fusion position and the matrix type, the zero values ​​equal to the number of fused zero values, the multiple target energy storage power sub-information and the first power characteristic matrix are fused to obtain a second power characteristic matrix.

3. The method according to claim 2, characterized in that The generating of fused zero value information according to the matrix type of the first power characteristic matrix and the power distribution status information corresponding to the energy storage system includes: If the matrix type is a Hadamard basic matrix type, extracting first stagnation state information of the energy storage system from the power distribution status information corresponding to the energy storage system, and generating fused zero value information based on the first stagnation state information, wherein the first stagnation state information is used to characterize the stagnation state distribution status of the energy storage system corresponding to the waiting configuration; If the matrix type is a Hadamard recursive matrix type, second stagnation state information of each energy storage device in the energy storage system is extracted from the power distribution status information corresponding to the energy storage system, and fused zero value information is generated based on the second stagnation state information, wherein the second stagnation state information is used to characterize the configured stagnation state distribution status corresponding to each energy storage device.

4. The method according to claim 3, characterized in that In a case where the matrix type is the Hadamard basic matrix type, the step of fusing, according to the zero value fusion position and the matrix type, zero values ​​equal to the number of fused zero values, the plurality of target energy storage power sub-information, and the first power characteristic matrix to obtain a second power characteristic matrix includes: According to the zero value fusion positions, fusing zero values ​​equal to the number of fused zero values ​​with the first power feature matrix to obtain a basic fusion matrix; Recursively performing a basic fusion matrix on the basic fusion matrix to obtain a basic fusion recursive matrix; Walsh transformation is performed on the basic fusion recursive matrix and the multiple target energy storage power sub-information to obtain a second power feature matrix.

5. The method according to claim 3, characterized in that In the case where the matrix type is the Hadamard recursive matrix type, the step of fusing, according to the zero value fusion position and the matrix type, zero values ​​equal to the number of fused zero values, the plurality of target energy storage power sub-information, and the first power characteristic matrix to obtain a second power characteristic matrix includes: Performing Walsh transformation on the first power characteristic matrix and the plurality of target energy storage power sub-information to obtain a transformation matrix; According to the zero value fusion position, zero values ​​equal to the number of fused zero values ​​are fused with the transformation matrix to obtain a second power feature matrix.

6. The method according to claim 1, characterized in that The selecting a plurality of target energy storage power sub-information from the energy storage power information includes: Generate information selection quantity according to the matrix type of the first power characteristic matrix; According to the information selection quantity, a plurality of target energy storage power sub-information is selected from the energy storage power information.

7. A power characteristic generating device for an energy storage system, characterized in that: The device comprises: an acquisition module, configured to acquire energy storage power information and a first power characteristic matrix of the energy storage system, and select a plurality of target energy storage power sub-information from the energy storage power information, wherein the power characteristic matrix includes at least one of a first eigenvalue and a second eigenvalue, the first eigenvalue representing a charge state of an energy storage device in the energy storage system, and the second eigenvalue representing a discharge state of the energy storage device in the energy storage system; a fusion module, configured to fuse the plurality of target energy storage power sub-information, the zero value, and the first power characteristic matrix according to the power distribution status information corresponding to the energy storage system, to obtain a second power characteristic matrix, wherein the zero value is used to characterize the stagnant state of the energy storage device in the energy storage system; A generating module is used to generate the power characteristics of the energy storage system according to the second power characteristic matrix.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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