Novel energy storage stationing method based on dynamic energy transfer distribution of power system

Abstract

The invention discloses a novel energy storage point distribution method based on dynamic energy transfer distribution of a power system, and relates to the technical field of key link identification and novel energy storage layout of the power system, and the method comprises the steps: calculating a dynamic energy change index of each power transmission line in a closed-loop interconnection state space model under different disturbance scenes of a given power grid; establishing a power grid correlation matrix according to dynamic energy transfer distribution characteristics of the power system obtained through dynamic energy change index analysis; establishing a power grid dynamic energy change sensitive node identification model by using the power grid correlation matrix, solving the power grid dynamic energy change sensitive node identification model based on a DE-pagerank algorithm to obtain a solving result of comprehensive sorting of power grid sensitive nodes, and obtaining a novel energy storage point distribution scheme based on the solving result; power grid energy change sensitive points are identified by determining the dynamic energy transfer distribution characteristics of the system, and a novel energy storage point distribution scheme is given on the basis of the power grid energy change sensitive points.

Description

Technical Field

[0001] The present invention relates to the technical field of power system key link identification and new energy storage layout, and more specifically, it relates to a new energy storage point layout method based on power system dynamic energy transfer distribution. Background Art

[0002] In recent years, my country has actively implemented the "dual carbon" strategy, and the development of new energy has shown a leapfrog development trend. With the increase in the penetration rate of new energy, the existing power system structure and balance mechanism are difficult to support a higher proportion of new energy grid connection and consumption, and the power system faces the dual severe challenges of supply and consumption. As one of the important regulating resources of the power system, new energy storage can realize the time and space transfer of electric power. It is an important means to enhance the regulation capacity of the power system, promote the consumption of new energy, and ensure the reliable supply of electricity.

[0003] However, facing the complex power system with complex grid structure and numerous line nodes, how to reasonably deploy new energy storage and give full play to the energy support response characteristics of energy storage has become one of the key issues to be solved in the construction of new power systems. At present, some scholars have planned energy storage deployment plans from the perspectives of improving the power quality of the power grid, enhancing the peak-shaving capacity of the system, and improving the economic operation characteristics of the system. However, the above studies have failed to comprehensively consider the impact of different energy storage deployment plans on the energy change characteristics of the entire system, resulting in the problem that energy storage is difficult to maximize its regulation capacity due to the configuration position. Complex network theory can integrate factors such as power flow distribution, topological structure, and interaction between branches to study the energy transfer change characteristics of the dynamic process of the power system under different disturbances, and realize the identification of key links of sensitive points of system energy changes. Based on the identification results of key links of the power grid, the energy storage deployment plan is determined, which can enhance the supporting role of energy storage on the safety and stability characteristics of the power grid from the physical topology essence, further improve the regulation ability of the system, and lay a theoretical and technical support for promoting the large-scale application of new energy storage.

[0004] In summary, in the process of large-scale new energy storage planning and application, it is necessary to fully consider the changing characteristics of energy transfer in the dynamic process of the power system, and determine the new energy storage layout plan based on the identification results of the sensitive points of system energy changes, so as to maximize the role of energy storage in improving the regulation capacity of the power system. Summary of the invention

[0005] The purpose of the present invention is to provide a new energy storage point distribution method based on the dynamic energy transfer distribution of the power system. By calculating the energy transfer of each node and transmission line in a given power grid under different disturbances, the dynamic energy transfer distribution characteristics of the system are determined, the sensitive points of energy changes in the power grid are identified, and a new energy storage point distribution plan is given based on this.

[0006] The above technical objectives of the present invention are achieved through the following technical solutions:

[0007] In a first aspect, the present application provides a novel energy storage point distribution method based on dynamic energy transfer distribution of a power system, comprising the following specific steps:

[0008] Based on the inherent parameters and operation control parameters of each device in the power system, a closed-loop interconnected state space model of the power system containing multiple types of power sources is constructed, and the dynamic energy change index of each transmission line in the closed-loop interconnected state space model is calculated under different disturbance scenarios of the given power grid;

[0009] The dynamic energy transfer distribution characteristics of the power system are obtained according to the analysis of dynamic energy change indicators, and the power grid correlation matrix taking into account the energy transfer factors of the transmission lines is established based on the dynamic energy transfer distribution characteristics;

[0010] The grid correlation matrix is ​​used to establish a grid dynamic energy change sensitive node identification model. The grid dynamic energy change sensitive node identification model is solved based on the DE-pagerank algorithm to obtain the comprehensive ranking result of the grid sensitive nodes, and a new energy storage layout plan is obtained based on the solution result.

[0011] Based on the above technical solution, the present invention can also be improved as follows.

[0012] Furthermore, the dynamic energy change index of each of the above transmission lines is specifically:

[0013] in:

[0014] In the formula, E fln represents the dynamic energy change index of the lth transmission line, F ln represents the line state variable. If l = n, that is, the line is disturbed, the value is 0.5, otherwise it is 1; t0 represents the start time of the disturbance, t c Indicates the time when the system returns to stable operation after a disturbance; P ln P represents the transmission power of the transmission line l at the steady-state operation time before the disturbance; tln represents the transmission power of transmission line l after the disturbance; ΔP ln represents the transmission coefficient of the transmission line, P lmax Indicates the maximum transmission power of the corresponding transmission line.

[0015] Furthermore, the above-mentioned grid correlation matrix taking into account the energy transfer factor of the transmission line is established based on the dynamic energy transfer distribution characteristics, specifically:

[0016] Based on the DC power flow solution, the energy transfer factor matrix of the transmission line is obtained, which is:

[0017]

[0018] Where M n_b represents the node-branch association matrix of a given power grid; B represents the susceptance matrix of a given power grid, E fln represents the dynamic energy change index of the lth transmission line, D ln represents the energy transfer factor matrix of the transmission line, N represents the total number of transmission lines;

[0019] Based on the transmission line energy transfer factor matrix, a power grid correlation matrix taking into account the transmission line energy transfer factor is established, specifically:

[0020] Establishing the initial correlation matrix of the power grid taking into account the energy transfer factors of each transmission line;

[0021] Based on the transmission line energy transfer factor matrix, the initial power grid correlation matrix is ​​normalized to obtain the power grid correlation matrix taking into account the transmission line energy transfer factor.

[0022] Furthermore, the above-mentioned initial correlation matrix of the power grid is specifically:

[0023] X={x ln} M×M ,in,

[0024] Where X represents the initial correlation matrix of the power grid, x ln represents the initial correlation matrix element, d ln Denotes the transmission line energy transfer factor matrix D ln The lth row and nth column element of ; N represents the total number of transmission lines, and M represents the total number of nodes;

[0025] The grid correlation matrix is ​​as follows:

[0026] in:

[0027] In the formula, represents the power grid correlation matrix, Represents the normalized initial correlation matrix elements.

[0028] Furthermore, the above-mentioned grid correlation matrix is ​​used to establish a grid dynamic energy change sensitive node identification model, and the grid dynamic energy change sensitive node identification model is solved based on the DE-pagerank algorithm to obtain the comprehensive ranking solution of the grid sensitive nodes, which is specifically:

[0029] According to the actual grid structure of the power system, a directed graph of the power grid is generated with the power grid nodes as nodes and the transmission lines as edges. The transfer matrix is ​​written based on the power grid correlation matrix using the directed graph of the power grid. The identification model of the sensitive nodes of the power grid dynamic energy change includes the transfer matrix.

[0030] By applying the power method to the transfer matrix and performing origin translation, the dynamic energy change sensitivity value of each node in the actual grid structure of the power system is obtained, and the comprehensive ranking of the sensitive nodes of the power grid corresponding to the actual grid structure is determined.

[0031] Furthermore, the above transfer matrix is ​​specifically:

[0032]

[0033] In the formula, G represents the transfer matrix, d represents the damping coefficient, and e represents the unit column vector. represents the power grid correlation matrix, m represents the number of power grid nodes, and T represents the matrix transpose.

[0034] Furthermore, the power method is applied to the transfer matrix and the origin is shifted to obtain the dynamic energy change sensitivity value of each node in the actual grid structure of the power system, and the comprehensive ranking of the grid sensitive nodes corresponding to the actual grid structure is determined, which is specifically:

[0035] α (k+1)T =α (k)T (G-pI);

[0036] Where α represents the eigenvector of the power grid correlation matrix, G represents the transfer matrix, T represents the matrix transpose, k represents the number of iterations, I represents the unit vector, p is a constant, and the value of p minimizes the value of (δ2-p) / (δ1-p), δ1 and δ2 represent the eigenvalues ​​of the transfer matrix G, respectively. Based on the converged eigenvector α, the dynamic energy change sensitivity value of each node in the actual grid structure is determined, and the comprehensive ranking of the sensitive nodes of the power grid is obtained.

[0037] In a second aspect, the present application provides a novel energy storage point distribution system based on dynamic energy transfer distribution of a power system, which is applied to a novel energy storage point distribution method based on dynamic energy transfer distribution of a power system in any one of the first aspects, including:

[0038] The first module is used to construct a closed-loop interconnected state space model of a power system containing multiple types of power sources based on the inherent parameters and operation control parameters of each device in the power system, and calculate the dynamic energy change index of each transmission line in the closed-loop interconnected state space model under different disturbance scenarios of the given power grid;

[0039] The second module is used to analyze the dynamic energy change index to obtain the dynamic energy transfer distribution characteristics of the power system, and establish a power grid correlation matrix taking into account the energy transfer factor of the transmission line based on the dynamic energy transfer distribution characteristics;

[0040] The third module is used to establish a grid dynamic energy change sensitive node identification model using the grid correlation matrix, solve the grid dynamic energy change sensitive node identification model based on the DE-pagerank algorithm to obtain the comprehensive ranking of grid sensitive nodes, and obtain a new energy storage deployment plan based on the solution.

[0041] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any one of the methods in the first aspect when executing the computer program.

[0042] In a fourth aspect, the present application provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions enable a computer to execute any one of the methods in the first aspect.

[0043] Compared with the prior art, the present invention has at least the following beneficial effects:

[0044] In this application, by constructing a closed-loop interconnected state space model of a power system containing multiple types of power sources, it is possible to calculate the dynamic energy change indicators of each transmission line under different disturbance scenarios of a given power grid, thereby realizing the quantitative processing of the dynamic energy transfer distribution characteristics of a given power grid, and effectively ensuring the accuracy of the identification results of key links of sensitive points of dynamic energy changes in the system.

[0045] In this application, by calculating the energy transfer factor of the transmission line to construct a power grid correlation matrix, the dynamic energy transfer distribution characteristics of the power grid system can be fully taken into account, which effectively improves the rationality and feasibility of analyzing the sensitive points of dynamic energy changes in the system based on complex network theory.

[0046] In this application, by constructing a grid dynamic energy change sensitive node identification model and solving the model based on the DE-pagerank algorithm, it is possible to comprehensively consider multiple factors such as the grid topology, operating characteristics, and the relationship between each node and transmission line. Compared with existing methods, it is possible to start from the essence of physical topology and combine the system energy change characteristics to identify the key links of the grid and determine new energy storage locations, which effectively improves the supporting role of energy storage on the safety and stability of the system grid and improves the system's regulation capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0048] Figure 1 A method flow chart of a method for deploying points in an embodiment of the present invention;

[0049] Figure 2 Schematic diagram of the topological structure of the IEEE 39-node system in an embodiment of the present invention;

[0050] Figure 3 The waveform of system power fluctuation after a single disturbance in the embodiment of the present invention;

[0051] Figure 4 A schematic diagram of sorting the dynamic energy change sensitivity values ​​of each node in the power grid according to an embodiment of the present invention;

[0052] Figure 5 Schematic diagram of the connection of the point distribution system in an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0054] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0056] In the description of the embodiments of the present invention, "plurality" means at least 2.

[0057] Embodiment 1: In order to fully consider the energy transfer change characteristics of the power system dynamic process in the large-scale new energy storage planning and application process, and determine the new energy storage point distribution scheme based on the system energy change sensitive point identification results, so as to maximize the effect of energy storage on the power system regulation ability. This embodiment provides a new energy storage point distribution method based on the dynamic energy transfer distribution of the power system, such as Figure 1 As shown, the specific steps include:

[0058] S1, based on the inherent parameters and operation control parameters of each device in the power system, a closed-loop interconnected state space model of the power system containing multiple types of power sources is constructed, and the dynamic energy change index of each transmission line in the closed-loop interconnected state space model is calculated under different disturbance scenarios of the given power grid.

[0059] Among them, a closed-loop interconnected state space model of a power system containing multiple types of power sources can be constructed based on the inherent parameters of multiple devices such as generators, power electronic converters, transmission lines, etc. in the power system and the system operation control parameters; specifically, the dynamic energy change index is expressed as the ratio of the change in energy transmitted by each transmission line after the system is disturbed to the steady-state energy, which characterizes the sensitive characteristics of dynamic energy changes of each transmission line. The physical meaning is to characterize the dynamic energy transfer characteristics of the system based on the energy change characteristics of each transmission line.

[0060] Optionally, the dynamic energy change index of each of the above transmission lines is specifically:

[0061] in:

[0062] In the formula, E fln represents the dynamic energy change index of the lth transmission line, F ln represents the line state variable. If l = n, that is, the line is disturbed, the value is 0.5, otherwise it is 1; t0 represents the start time of the disturbance, t c Indicates the time when the system returns to stable operation after a disturbance; P ln P represents the transmission power of the transmission line l at the steady-state operation time before the disturbance; tln represents the transmission power of transmission line l after the disturbance; ΔP ln represents the transmission coefficient of the transmission line, P lmax Indicates the maximum transmission power of the corresponding transmission line.

[0063] S2, according to the dynamic energy change index analysis, the dynamic energy transfer distribution characteristics of the power system are obtained, and based on the dynamic energy transfer distribution characteristics, a power grid correlation matrix taking into account the energy transfer factor of the transmission line is established.

[0064] Optionally, the grid correlation matrix taking into account the energy transfer factor of the transmission line is established based on the dynamic energy transfer distribution characteristics, specifically:

[0065] S21, based on the DC power flow solution, the energy transfer factor matrix of the transmission line is obtained, which is:

[0066]

[0067] Where M n_brepresents the node-branch association matrix of a given power grid; B represents the susceptance matrix of a given power grid, E fln represents the dynamic energy change index of the lth transmission line, D ln represents the energy transfer factor matrix of the transmission line, and N represents the total number of transmission lines.

[0068] S22, based on the transmission line energy transfer factor matrix, a power grid correlation matrix taking into account the transmission line energy transfer factor is established, specifically:

[0069] S221, establishing an initial correlation matrix of the power grid taking into account the energy transfer factor of each transmission line.

[0070] The above-mentioned initial correlation matrix of the power grid is specifically:

[0071] X={x ln} M×M ,in,

[0072] Where X represents the initial correlation matrix of the power grid, x ln represents the initial correlation matrix element, d ln Denotes the transmission line energy transfer factor matrix D ln The lth row and nth column element of ; N represents the total number of transmission lines, and M represents the total number of nodes.

[0073] S222, based on the transmission line energy transfer factor matrix, normalize the initial power grid correlation matrix to obtain a power grid correlation matrix that takes into account the transmission line energy transfer factor.

[0074] Specifically, the above power grid correlation matrix is:

[0075] in:

[0076] In the formula, represents the power grid correlation matrix, Represents the normalized initial correlation matrix elements.

[0077] S3, using the power grid correlation matrix to establish a grid dynamic energy change sensitive node identification model, based on the DE-pagerank algorithm to solve the grid dynamic energy change sensitive node identification model to obtain the grid sensitive node comprehensive ranking solution, and based on the solution results to obtain a new energy storage point solution.

[0078] Optionally, the above-mentioned grid correlation matrix is ​​used to establish a grid dynamic energy change sensitive node identification model, and the grid dynamic energy change sensitive node identification model is solved based on the DE-pagerank algorithm to obtain a comprehensive ranking solution of the grid sensitive nodes, specifically:

[0079] S31, generating a directed grid graph with grid nodes as nodes and transmission lines as edges according to the actual grid structure of the power system, using the directed grid graph and writing a transfer matrix based on the grid correlation matrix, and the grid dynamic energy change sensitive node identification model includes the transfer matrix.

[0080] The above transfer matrix is ​​specifically:

[0081]

[0082] In the formula, G represents the transfer matrix, d represents the damping coefficient, and e represents the unit column vector. represents the power grid correlation matrix, m represents the number of power grid nodes, and T represents the matrix transpose.

[0083] S32, applying the power method to the transfer matrix and performing origin translation to obtain the dynamic energy change sensitivity value of each node in the actual grid structure of the power system, and determining the comprehensive ranking of the grid sensitive nodes corresponding to the actual grid structure.

[0084] Among them, the above-mentioned application of the power method to the transfer matrix and the origin translation obtains the dynamic energy change sensitivity value of each node in the actual grid structure of the power system, and determines the comprehensive ranking of the grid sensitive nodes corresponding to the actual grid structure, which is specifically:

[0085] α (k+1)T =α (k)T (G-pI);

[0086] Where α represents the eigenvector of the power grid correlation matrix, G represents the transfer matrix, T represents the matrix transpose, k represents the number of iterations, I represents the unit vector, p is a constant, and the value of p minimizes the value of (δ2-p) / (δ1-p), δ1 and δ2 represent the eigenvalues ​​of the transfer matrix G, respectively. Based on the converged eigenvector α, the dynamic energy change sensitivity value of each node in the actual grid structure is determined, and the comprehensive ranking of the sensitive nodes of the power grid is obtained.

[0087] The method in this embodiment is further described by examples below. This embodiment uses the IEEE 39-node system as an example to verify the present invention. The flow chart of the new energy storage point distribution method based on the dynamic energy transfer distribution of the power system is as follows: Figure 1 The parameters of each component of the IEEE 39-node system adopt standard data, including 39 nodes and 46 lines. The system topology is as follows: Figure 2As shown in the figure, when a single disturbance occurs in the system, the typical fluctuation waveform of the system power is as follows: Figure 3 As shown, the dynamic energy change sensitivity values ​​of 39 nodes in the IEEE 39-node system are calculated by the method in this embodiment as shown in Table 1:

[0088] Table 1

[0089]

[0090]

[0091] Specifically, it can be seen from Table 1 that by constructing a grid dynamic energy change sensitive node identification model, and solving the dynamic energy change sensitive value of each node in the grid based on the DE-pagerank algorithm, the dynamic energy change sensitive value of each node is sorted to obtain a comprehensive ranking of sensitive nodes. Figure 4 ,pass Figure 4 From the calculation results in Table 1 above, it can be seen that the layout of new energy storage can be determined based on the comprehensive ranking of sensitive nodes in the power grid. Under multi-type disturbances, the dynamic energy changes of nodes 12, 39, and 8 in the IEEE 39-node system are more obvious than those of other nodes. When three distribution points need to be arranged, new energy storage can be deployed first to ensure the utilization rate of energy storage and improve the support capacity of new energy storage for the power grid.

[0092] The embodiments show that the novel energy storage layout method based on the dynamic energy transfer distribution of the power system provided by the present invention can not only quantitatively characterize the dynamic energy transfer distribution characteristics of each node in a given power grid, but also realize the identification of key links of sensitive points of system energy changes, and realize energy storage layout based on the identification results.

[0093] Embodiment 2: The embodiment of the present application provides a novel energy storage point distribution system based on the dynamic energy transfer distribution of the power system, which is applied to a novel energy storage point distribution method based on the dynamic energy transfer distribution of the power system in any one of the embodiments 1, such as Figure 5 As shown, including:

[0094] The first module is used to construct a closed-loop interconnected state space model of a power system containing multiple types of power sources based on the inherent parameters and operation control parameters of each device in the power system, and calculate the dynamic energy change indicators of each transmission line in the closed-loop interconnected state space model under different disturbance scenarios of a given power grid.

[0095] The second module is used to analyze the dynamic energy change index to obtain the dynamic energy transfer distribution characteristics of the power system, and to establish a power grid correlation matrix taking into account the energy transfer factor of the transmission line based on the dynamic energy transfer distribution characteristics.

[0096] The third module is used to establish a grid dynamic energy change sensitive node identification model using the grid correlation matrix, solve the grid dynamic energy change sensitive node identification model based on the DE-pagerank algorithm to obtain the comprehensive ranking of grid sensitive nodes, and obtain a new energy storage deployment plan based on the solution.

[0097] Embodiment 3: The embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, any one of the methods in Embodiment 1 is implemented.

[0098] Embodiment 4: The embodiment of the present application provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions enable a computer to execute any method in Embodiment 1.

[0099] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A new energy storage point distribution method based on dynamic energy transfer distribution of power system, characterized in that: The specific steps include: Based on the inherent parameters and operation control parameters of each device in the power system, a closed-loop interconnected state space model of the power system containing multiple types of power sources is constructed, and the dynamic energy change index of each transmission line in the closed-loop interconnected state space model is calculated under different disturbance scenarios of the given power grid; deriving the dynamic energy transfer distribution characteristics of the power system according to the dynamic energy change index analysis, and establishing a power grid correlation matrix taking into account the energy transfer factor of the transmission line based on the dynamic energy transfer distribution characteristics; The grid correlation matrix is ​​used to establish a grid dynamic energy change sensitive node identification model, and the grid dynamic energy change sensitive node identification model is solved based on the DE-pagerank algorithm to obtain a comprehensive ranking solution of the grid sensitive nodes, and a new energy storage layout plan is obtained based on the solution.

2. According to claim 1, a new energy storage point distribution method based on dynamic energy transfer distribution of power system is characterized in that: The dynamic energy change index of each transmission line is specifically: in: In the formula, E fln represents the dynamic energy change index of the lth transmission line, F ln represents the line state variable. If l = n, that is, the line is disturbed, the value is 0.5, otherwise it is 1; t0 represents the start time of the disturbance, t c Indicates the time when the system returns to stable operation after a disturbance; P ln P represents the transmission power of the transmission line l at the steady-state operation time before the disturbance; tln represents the transmission power of transmission line l after the disturbance; ΔP ln represents the transmission coefficient of the transmission line, P lmax Indicates the maximum transmission power of the corresponding transmission line.

3. According to claim 1, a new energy storage point distribution method based on dynamic energy transfer distribution of power system is characterized in that: The grid correlation matrix considering the energy transfer factor of the transmission line is established based on the dynamic energy transfer distribution characteristics, specifically: Based on the DC power flow solution, the energy transfer factor matrix of the transmission line is obtained, which is: Where M n_b represents the node-branch association matrix of a given power grid; B represents the susceptance matrix of a given power grid, E fln represents the dynamic energy change index of the lth transmission line, D ln represents the energy transfer factor matrix of the transmission line, N represents the total number of transmission lines; Based on the transmission line energy transfer factor matrix, a power grid correlation matrix taking into account the transmission line energy transfer factor is established, specifically: Establishing the initial correlation matrix of the power grid taking into account the energy transfer factors of each transmission line; Based on the transmission line energy transfer factor matrix, the initial power grid correlation matrix is ​​normalized to obtain a power grid correlation matrix taking into account the transmission line energy transfer factor.

4. A novel energy storage point distribution method based on dynamic energy transfer distribution of power system according to claim 3, characterized in that: The initial correlation matrix of the power grid is specifically: X={x ln } M×M ,in, Where X represents the initial correlation matrix of the power grid, x ln represents the initial correlation matrix element, d ln Denotes the transmission line energy transfer factor matrix D ln The lth row and nth column element of ; N represents the total number of transmission lines, and M represents the total number of nodes; The power grid correlation matrix is ​​specifically: in: l=1…N,n=1…M; In the formula, represents the power grid correlation matrix, Represents the normalized initial correlation matrix elements.

5. According to claim 1, a new energy storage point distribution method based on dynamic energy transfer distribution of power system is characterized in that: The grid correlation matrix is ​​used to establish a grid dynamic energy change sensitive node identification model. The grid dynamic energy change sensitive node identification model is solved based on the DE-pagerank algorithm to obtain the comprehensive ranking solution of the grid sensitive nodes, which is specifically: Generate a power grid directed graph with power grid nodes as nodes and transmission lines as edges according to the actual grid structure of the power system, write a transfer matrix based on the power grid directed graph and the power grid correlation matrix, and the power grid dynamic energy change sensitive node identification model includes the transfer matrix; The power method is applied to the transfer matrix and the origin is shifted to obtain the dynamic energy change sensitivity value of each node in the actual grid structure of the power system, and the comprehensive ranking of the grid sensitive nodes corresponding to the actual grid structure is determined.

6. A novel energy storage point distribution method based on dynamic energy transfer distribution of power system according to claim 5, characterized in that: The transfer matrix is ​​specifically: In the formula, G represents the transfer matrix, d represents the damping coefficient, and e represents the unit column vector. represents the power grid correlation matrix, m represents the number of power grid nodes, and T represents the matrix transpose.

7. A novel energy storage point distribution method based on dynamic energy transfer distribution of power system according to claim 5, characterized in that: Apply the power method to the transfer matrix and perform origin translation to obtain the dynamic energy change sensitivity value of each node in the actual grid structure of the power system, and determine the comprehensive ranking of the grid sensitive nodes corresponding to the actual grid structure, specifically: α (k+1)T =α (k)T (G-pI)? In the formula, α represents the eigenvector of the power grid correlation matrix, G represents the transfer matrix, T represents the matrix transpose, and k represents the number of iterations; I represents a unit vector; p is a constant, and the value of p minimizes the value of (δ2-p) / (δ1-p). δ1 and δ2 represent the eigenvalues ​​of the transfer matrix G, respectively. The dynamic energy change sensitivity value of each node in the actual grid structure is determined based on the converged eigenvector α, and the comprehensive ranking of the sensitive nodes of the power grid is obtained.

8. A novel energy storage point distribution system based on dynamic energy transfer distribution of power system, applied to a novel energy storage point distribution method based on dynamic energy transfer distribution of power system according to any one of claims 1 to 7, characterized in that: include: The first module is used to construct a closed-loop interconnected state space model of a power system containing multiple types of power sources based on the inherent parameters and operation control parameters of each device in the power system, and calculate the dynamic energy change index of each transmission line in the closed-loop interconnected state space model under different disturbance scenarios of the given power grid; The second module is used to analyze and obtain the dynamic energy transfer distribution characteristics of the power system according to the dynamic energy change index, and establish a power grid correlation matrix taking into account the energy transfer factor of the transmission line based on the dynamic energy transfer distribution characteristics; The third module is used to establish a grid dynamic energy change sensitive node identification model using the grid correlation matrix, solve the grid dynamic energy change sensitive node identification model based on the DE-pagerank algorithm to obtain a comprehensive ranking solution of the grid sensitive nodes, and obtain a new energy storage deployment plan based on the solution.

9. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the method according to any one of claims 1 to 7 is implemented when the processor executes the computer program.

10. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium stores computer instructions, which enable a computer to execute the method of any one of claims 1-7.

Images