Non-direct-connection unit electric energy sensitivity analysis method and system based on graph calculation

By constructing a power grid power supply correlation graph model based on graph calculation, analyzing the electrical energy sensitivity of non-direct-connected units, solving the problem of inefficiency of traditional electrical energy analysis methods, and achieving faster and more efficient electrical energy analysis.

CN119599830APending Publication Date: 2025-03-11YUNNAN POWER GRID CO LTD
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Patent Information

Application Number
CN202411483962.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-23
Publication Date
2025-03-11

AI Technical Summary

Technical Problem

The traditional station power energy analysis method has low processing speed and efficiency, making it difficult to effectively track and analyze the direction of the electrical energy in the power grid.

Method used

The electrical energy sensitivity analysis method of non-direct-connected units based on graph calculation is adopted. By acquiring and importing the topological structured model data of the power grid, the equipment section measurement data is collected in real time, the power grid power supply correlation diagram model is constructed, all sources of power supply to the station are determined, the total power supply to the station is calculated, and the electrical energy sensitivity of the non-direct-connected units is calculated.

Benefits of technology

It significantly improves the processing speed and efficiency of electrical energy analysis, can identify the source and path of electrical energy more quickly, and improves the station's ability to control the operation mode of the generator set.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of electric power analysis, and discloses a non-direct-connection unit electric energy sensitivity analysis method and system based on graph calculation, and the method comprises the steps: obtaining and importing the topological structured model data of a power grid, and collecting the section measurement data of equipment in real time; constructing a power grid power supply association graph model; all sources for supplying power to the station are determined through a graph topological structure in the graph model, and the total power supply power of the station is calculated; and determining a non-direct-connection power supply node, calculating the electric energy sensitivity of the non-direct-connection unit, and carrying out visual display. According to the invention, based on the power flow state estimation result, the direct connection power supply unit of the station is determined by searching the power supply path of the target station, and the power grid power supply association graph model which realizes the electric energy traceability of the station, the graph calculation technology and the simplified construction is obviously improved in processing speed and efficiency compared with a traditional method through the power generation power of each unit.
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Description

Technical Field

[0001] The present invention relates to the technical field of power analysis, and in particular to a method and system for analyzing the electric energy sensitivity of a non-directly connected unit based on graph calculation. Background Art

[0002] The site load in the power system changes at any time, and the operating mode of the generator set will also change accordingly. By tracking the direction of electric energy in the power system, the source of electric energy in different energy sources, power plants and power networks can be clearly identified.

[0003] The station has a certain degree of control over the selection and operation of generator sets. By performing station-oriented generator set sensitivity analysis based on the results of power flow state estimation, the station's electric energy source can be traced. However, the processing speed and efficiency of traditional station electric energy analysis methods are relatively low. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In view of the above existing problems, the present invention is proposed. Therefore, the present invention provides a non-directly connected unit electric energy sensitivity analysis method based on graph calculation to solve the problem that the processing speed and efficiency of the traditional station electric energy analysis method are relatively low.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a method for analyzing the electric energy sensitivity of a non-directly connected unit based on graph calculation, comprising: acquiring and importing grid topology structured model data, and collecting equipment cross-section measurement data in real time;

[0008] Based on the grid topology structured model data, simplify the structure data and construct a grid power supply association graph model;

[0009] Based on the power grid power supply association graph model, all sources of power supply to the station are determined through the graph topology structure in the graph model, and the total power supply power of the station is calculated;

[0010] Based on the graph topology in the graph model and the total power supply power of the station, the indirect power supply nodes are determined, the electric energy sensitivity of the indirect power supply units is calculated, and the electric energy sensitivity results are visualized.

[0011] As a preferred solution of the electric energy sensitivity analysis method of non-directly connected units based on graph calculation described in the present invention, the real-time acquisition of equipment cross-section measurement data includes:

[0012] Importing a connection file of a power grid topology structured model data, wherein the power grid topology structured model data includes substation, transmission line, feeder, load, and distributed power supply equipment data;

[0013] The structured model data connection file is updated according to the changes in the actual power grid connection relationship, and the collected data of minute-level section measurements are updated in real time.

[0014] As a preferred solution of the electric energy sensitivity analysis method of non-directly connected units based on graph calculation described in the present invention, constructing a power grid power supply association graph model includes:

[0015] Determine the station nodes, unit nodes, load nodes and transmission line nodes in the power grid diagram model according to the power grid topology structured model data;

[0016] The station node is directly associated with the unit node or load node through an edge. The nth directly connected unit of station k is recorded as The load is recorded as The transmission line end is denoted by The station is

[0017] As a preferred solution of the electric energy sensitivity analysis method of non-directly connected units based on graph calculation described in the present invention, the calculation of the total power supply power of the station includes:

[0018] Based on the power supply association graph model of the power grid, the directly connected units and the line nodes with negative transmission power are determined through the graph topology of the station-unit, station-load and station-line in the graph model, and each type of power is accumulated to the total power of the target station;

[0019] The total power supply of the station is expressed as:

[0020]

[0021] Among them, P k represents the total power of station k, P u Indicates the unit power input, P l is the negative load power input, P t Represents the power input to the line node where the transmission power is negative.

[0022] As a preferred solution of the method for analyzing the electric energy sensitivity of non-directly connected units based on graph calculation according to the present invention, the determining of the non-directly connected power supply node comprises:

[0023] Based on the power grid power supply association graph model, determining that the line node with negative transmission power is a non-directly connected power supply node;

[0024] Through the graph topology of station-line in the graph model and the line nodes with negative transmission power, the association relationship between stations is searched;

[0025] Determine whether there are any related and untraversed stations in the non-directly connected stations. If so, continue to traverse through the station-line graph topology structure;

[0026] If it does not exist, record and return the unit collection.

[0027] As a preferred solution of the electric energy sensitivity analysis method of non-directly connected units based on graph calculation according to the present invention, the electric energy sensitivity of the non-directly connected units is calculated as follows:

[0028] Energy sensitivity ε of non-directly connected unit n n It is expressed as:

[0029] ε n =P t1 / P k ×P t1 / P s1 ×P u,n,1 / P s1

[0030] Among them, P s1 represents the total power of the first-order neighboring station, P t1 represents the power input of the line node with negative transmission power connected to the first-order neighbor station, P u,n,1 Represents the power of the first-order neighbor station unit n.

[0031] As a preferred solution of the electric energy sensitivity analysis method of non-directly connected units based on graph calculation described in the present invention, wherein: visually displaying the electric energy sensitivity result includes:

[0032] Through the power grid graphics, the power energy sensitivity of each unit is displayed using color coding;

[0033] Hover or click the mouse to view the electrical energy sensitivity value;

[0034] The user defines a sensitivity threshold and the units exceeding the sensitivity threshold are highlighted.

[0035] In a second aspect, the present invention provides a non-directly connected unit electric energy sensitivity analysis system based on graph calculation, comprising:

[0036] The acquisition module is used to acquire and import the grid topology structured model data and collect the equipment section measurement data in real time;

[0037] A construction module, used to simplify the structure data and construct a power supply association graph model of the power grid based on the power grid topology structured model data;

[0038] A first calculation module is used to determine all sources of power supply to the station based on the power supply association graph model of the power grid and through the graph topology structure in the graph model, and calculate the total power supply power of the station;

[0039] The second calculation module is used to determine the non-directly connected power supply nodes based on the graph topology structure in the graph model and the total power supply power of the site, calculate the electric energy sensitivity of the non-directly connected units, and visualize the electric energy sensitivity results.

[0040] In a third aspect, the present invention provides an electronic device, comprising:

[0041] Memory and processor;

[0042] The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the electric energy sensitivity analysis method of non-directly connected units based on graph calculation are implemented.

[0043] In a fourth aspect, the present invention provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the method for analyzing the electric energy sensitivity of non-directly connected units based on graph calculation.

[0044] Compared with the prior art, the present invention has the following beneficial effects: based on the result of flow state estimation, the present invention searches for the power supply path of the target station, determines the directly connected power supply units of the station, and traces the power generation of the station through the power generation power of each unit. The graph computing technology and the simplified constructed power grid power supply association graph model have significantly improved the processing speed and efficiency compared with the traditional methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0046] Figure 1 It is a schematic diagram of the overall process of the electric energy sensitivity analysis method of non-directly connected units based on graph calculation according to an embodiment of the present invention;

[0047] Figure 2A schematic diagram of a topological association structure of a power grid association graph model for a method for analyzing the electric energy sensitivity of non-directly connected units based on graph calculation according to an embodiment of the present invention;

[0048] Figure 3 A schematic diagram of an example station structure of a method for analyzing the electric energy sensitivity of non-directly connected units based on graph calculation according to an embodiment of the present invention. DETAILED DESCRIPTION

[0049] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0050] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0051] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0052] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0053] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0054] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0055] Reference Figure 1-Figure 3 , is an embodiment of the present invention, and provides a method for analyzing the electric energy sensitivity of non-directly connected units based on graph calculation, such as Figure 1 As shown, including:

[0056] S101, acquiring and importing the grid topology structured model data, and collecting equipment section measurement data in real time;

[0057] S102, based on the grid topology structured model data, simplify the structure data and construct a grid power supply association graph model;

[0058] S103, based on the power supply association graph model of the power grid, through the graph topology structure in the graph model, determine all sources of power supply to the station, and calculate the total power supply power of the station;

[0059] S104, based on the graph topology in the graph model and the total power supply power of the station, determine the indirect power supply nodes, calculate the electric energy sensitivity of the indirect power units, and visualize the electric energy sensitivity results.

[0060] It should be noted that, in this embodiment, by considering the topological structure of the power grid and the correlation between nodes, the electric energy sensitivity of the non-directly connected unit is defined as the ratio of the power input of the non-directly connected unit to the total power of the station after multi-layer transmission decomposition. In this way, the contribution of the non-directly connected unit to the total power of the station can be evaluated, thereby revealing the impact of the non-directly connected unit on the system stability.

[0061] Step S101, in a preferred embodiment, real-time acquisition of equipment cross-section measurement data includes:

[0062] Import the grid topology structured model data connection file, the grid topology structured model data includes substation, transmission line, feeder, load, distributed power equipment data;

[0063] The structured model data connection file is updated according to the changes in the actual power grid connection relationship, and the collected data of minute-level section measurements are updated in real time.

[0064] Specifically, import the structured model data connection file of all substations, transmission lines, feeders, loads, and distributed power sources in a certain area. The format is not limited to Excel format, XML format, CIM / E format, JSON format, etc. The equipment contains coordinate information.

[0065] Among them, the topological data includes all equipment in the substation, transmission lines, feeders, loads, and distributed power sources, such as main transformers, busbars, switch connection equipment, line ends, etc. The structured model connection file is updated as the actual grid connection relationship changes. The measurement data needs to collect minute-level section data and update it in real time.

[0066] The grid topology structured model is as follows:

[0067] $M_{\text{topo}}={N,E}$

[0068] $N={n_i|n_i\in{\text{Substation},\text{Unit},\text{Load},\text{Line}}}$

[0069] $E={e_{ij}|e_{ij}\in{\text{sub_unit},\text{sub_load}}}$

[0070] Real-time collection of cross-sectional measurement data, as follows:

[0071] $D_{\text{meas}}(t)$

[0072] Step S102, as Figure 2 As shown, in a preferred embodiment, constructing a power grid power supply association graph model includes:

[0073] According to the grid topology structured model data, determine the station nodes, unit nodes, load nodes and transmission line nodes in the grid diagram model;

[0074] The station node is directly connected to the unit node or load node through the edge. The nth directly connected unit of station k is recorded as The load is recorded as The transmission line end is denoted by The station is

[0075] Specifically, based on the full topology model data of the power grid, the power supply association graph model is simplified and constructed. The power supply association graph model only retains the substation nodes (Node: Substation), unit nodes (Node: Unit), load nodes (Node: Load) and transmission line nodes (Node: Line) in the full topology model data. The substation nodes are directly associated with the unit nodes or load nodes through edges (Edge: sub_unit or sub_load). This model can simplify the number of search devices and improve efficiency.

[0076] The simplified topology model is as follows:

[0077] $M_{\text{assoc}}={N_{\text{assoc}},E_{\text{assoc}}}$

[0078] $N_{\text{assoc}}

[0079] ={n_i|n_i\in{\text{Substation},\text{Unit},\text{Load},

[0080] \text{Line}}}$

[0081] $E_{\text{assoc}}={e_{ij}|e_{ij}\in{\text{sub_unit},\text{sub_load}}}$

[0082] Step S103, in a preferred embodiment, calculating the total power supply of the station includes:

[0083] Based on the power supply association graph model of the power grid, the graph topology of the station-unit, station-load (negative load) and station-line in the graph model is used to determine the directly connected units and line nodes with negative transmission power, and accumulate all types of power to the total power of the target station;

[0084] The total power supply of the station is expressed as:

[0085]

[0086] Among them, P k represents the total power of station k, P u Indicates the unit power input, P l is the negative load power input, P t Represents the power input to the line node where the transmission power is negative.

[0087] Specifically, Figure 3As shown in the figure, the total power supply formula of the station is used to obtain the P of station k. u =50MW, P l =5MW, P t =10MW, P k =65MW;

[0088] P of the first-order neighbor station s1 s1 =40+10=50MW.

[0089] Step S104, in a preferred embodiment, determining the indirect power supply node includes:

[0090] Based on the power supply association graph model of the power grid, the line nodes with negative transmission power are determined to be indirect power supply nodes;

[0091] Through the graph topology of the station-line in the graph model and the line nodes with negative transmission power (power input), the station-station association relationship is searched;

[0092] Determine whether there are any related and untraversed stations in the non-directly connected stations. If so, continue to traverse through the station-line graph topology structure;

[0093] If it does not exist, record and return the unit collection.

[0094] Calculation of the energy sensitivity of non-directly connected units includes:

[0095] Energy sensitivity ε of non-directly connected unit n n It is expressed as:

[0096] ε n =P t1 / P k ×P t1 / P s1 ×P u,n,1 / P s1

[0097] Among them, unit n is the first-order neighbor station unit, P s1 represents the total power of the first-order neighboring station, P t1 represents the power input of the line node with negative transmission power connected to the first-order neighbor station, P u,n,1 Represents the power of the first-order neighbor station unit n.

[0098] Specifically, by analogy, the electric energy sensitivity value of the second-order neighboring station unit is calculated, which is expressed as:

[0099] ε n =P t1 / P k ×P t1 / P s1 ×Pt2 / P s1 ×P t2 / P s2 ×P u,n,2 / P s2

[0100] Among them, P s1 , P s2 is the total power of the first-order neighbor station s1 and the second-order neighbor station s2, P t1 , P t2 is the power input of the nodes t1 and t2 of the lines connecting the target station and the first-order neighbor station, and connecting the first-order neighbor station and the second-order neighbor station with negative transmission power, P u,n,1 , P u,m,2 are the powers of the first-order neighbor station unit n and the second-order neighbor station unit m, and so on, and the sensitivity of each related unit is calculated.

[0101] like Figure 3 As shown, the sensitivity of the non-directly connected unit Unit1-1 is calculated as:

[0102] ε n =(10 / 65)×(10 / 50)×(40 / 50)=0.025

[0103] Step S105, in a preferred embodiment,

[0104] Visualizing the energy sensitivity results includes:

[0105] Through the power grid graphics, the power energy sensitivity of each unit is displayed using color coding;

[0106] Hover or click the mouse to view the electrical energy sensitivity value;

[0107] The user can define the sensitivity threshold and highlight the units that exceed the sensitivity threshold.

[0108] It should be noted that the present invention is based on the results of power flow state estimation, by searching the power supply path of the target station, determining the directly connected power supply units of the station, and tracing the power supply source of the station through the power generation power of each unit. The graph computing technology and the simplified constructed power grid power supply association graph model have significantly improved processing speed and efficiency compared with traditional methods.

[0109] The above is a schematic scheme of a method for analyzing the electric energy sensitivity of a non-directly connected unit based on graph calculation in this embodiment. It should be noted that the technical scheme of the electric energy sensitivity analysis system of the non-directly connected unit based on graph calculation and the technical scheme of the electric energy sensitivity analysis method of the non-directly connected unit based on graph calculation mentioned above belong to the same concept. For the details not described in detail in the technical scheme of the electric energy sensitivity analysis system of the non-directly connected unit based on graph calculation in this embodiment, please refer to the description of the technical scheme of the electric energy sensitivity analysis method of the non-directly connected unit based on graph calculation mentioned above.

[0110] In this embodiment, the electric energy sensitivity analysis system of non-directly connected units based on graph calculation includes:

[0111] The acquisition module is used to acquire and import the grid topology structured model data and collect the equipment section measurement data in real time;

[0112] A construction module is used to simplify the structure data and construct a power supply association graph model based on the power grid topology structured model data;

[0113] The first calculation module is used to determine all sources of power supply to the station based on the power supply association graph model of the power grid through the graph topology structure in the graph model, and calculate the total power supply power of the station;

[0114] The second calculation module is used to determine the non-directly connected power supply nodes based on the graph topology structure in the graph model and the total power supply power of the site, calculate the electric energy sensitivity of the non-directly connected units, and visualize the electric energy sensitivity results.

[0115] This embodiment further provides an electronic device, which is applicable to the case of electric energy sensitivity analysis of non-directly connected units based on graph calculation, including:

[0116] Memory and processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the electric energy sensitivity analysis method of non-directly connected units based on graph calculation as proposed in the above embodiment.

[0117] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method for analyzing the electric energy sensitivity of non-directly connected units based on graph calculation as proposed in the above embodiment is implemented.

[0118] The storage medium proposed in this embodiment and the method for implementing graph-based calculation-based electric energy sensitivity analysis of non-directly connected units proposed in the above embodiment belong to the same inventive concept. Technical details not fully described in this embodiment can be found in the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0119] Through the above description of the implementation methods, the technicians in the relevant field can clearly understand that the present invention can be implemented by means of software and necessary general hardware, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ReadOnly, Memory, ROM), random access memory (RandomAccess Memory, RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform the methods of various embodiments of the present invention.

[0120] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for analyzing the electric energy sensitivity of non-directly connected units based on graph calculation, characterized in that: include: Acquire and import the grid topology structured model data and collect equipment section measurement data in real time; Based on the grid topology structured model data, simplify the structure data and construct a grid power supply association graph model; Based on the power grid power supply association graph model, all sources of power supply to the station are determined through the graph topology structure in the graph model, and the total power supply power of the station is calculated; Based on the graph topology in the graph model and the total power supply power of the station, the indirect power supply nodes are determined, the electric energy sensitivity of the indirect power supply units is calculated, and the electric energy sensitivity results are visualized.

2. The method for analyzing the electric energy sensitivity of non-directly connected units based on graph calculation according to claim 1, characterized in that: The real-time acquisition of equipment cross-sectional measurement data includes: Importing a connection file of a power grid topology structured model data, wherein the power grid topology structured model data includes substation, transmission line, feeder, load, and distributed power supply equipment data; The structured model data connection file is updated according to the changes in the actual power grid connection relationship, and the collected data of minute-level section measurements are updated in real time.

3. The method for analyzing the electric energy sensitivity of non-directly connected units based on graph calculation according to claim 1 or 2, characterized in that: Building a power grid power supply association graph model includes: Determine the station nodes, unit nodes, load nodes and transmission line nodes in the power grid diagram model according to the power grid topology structured model data; The station node is directly connected to the unit node or load node through an edge. The nth directly connected unit of station k is recorded as The load is recorded as The transmission line end is denoted by The station is 4. The method for analyzing the electric energy sensitivity of non-directly connected units based on graph calculation according to claim 3, characterized in that: The calculation of the total power supply of the station includes: Based on the power supply association graph model of the power grid, the directly connected units and the line nodes with negative transmission power are determined through the graph topology of the station-unit, station-load and station-line in the graph model, and each type of power is accumulated to the total power of the target station; The total power supply of the station is expressed as: Among them, P k represents the total power of station k, P u Indicates the unit power input, P l is the negative load power input, P t Represents the power input to the line node where the transmission power is negative.

5. The method for analyzing the electric energy sensitivity of non-directly connected units based on graph calculation according to claim 4, characterized in that: The determining of the indirect power supply node comprises: Based on the power grid power supply association graph model, determining that the line node with negative transmission power is a non-directly connected power supply node; Through the graph topology of station-line in the graph model and the line nodes with negative transmission power, the association relationship between stations is searched; Determine whether there are any related and untraversed stations in the non-directly connected stations. If so, continue to traverse through the station-line graph topology structure; If it does not exist, record and return the unit collection.

6. The method for analyzing the electric energy sensitivity of non-directly connected units based on graph calculation according to claim 5, characterized in that: The calculation of the electric energy sensitivity of the non-directly connected units includes: Energy sensitivity ε of non-directly connected unit n n It is expressed as: ε n =P t1 / P k ×P t1 / P s1 ×P u,n,1 / P s1 Among them, P s1 represents the total power of the first-order neighboring station, P t1 represents the power input of the line node with negative transmission power connected to the first-order neighbor station, P u,n,1 Represents the power of the first-order neighbor station unit n.

7. The method for analyzing the electric energy sensitivity of non-directly connected units based on graph calculation according to claim 1 or 6, characterized in that: Visualizing the electrical energy sensitivity result includes: Through the power grid graphics, the power energy sensitivity of each unit is displayed using color coding; Hover or click the mouse to view the electrical energy sensitivity value; The user defines a sensitivity threshold and the units exceeding the sensitivity threshold are highlighted.

8. A non-directly connected unit electric energy sensitivity analysis system based on graph calculation, characterized in that: include: The acquisition module is used to acquire and import the grid topology structured model data and collect the equipment section measurement data in real time; A construction module, used to simplify the structure data and construct a power supply association graph model of the power grid based on the power grid topology structured model data; A first calculation module is used to determine all sources of power supply to the station based on the power supply association graph model of the power grid and through the graph topology structure in the graph model, and calculate the total power supply power of the station; The second calculation module is used to determine the non-directly connected power supply nodes based on the graph topology structure in the graph model and the total power supply power of the site, calculate the electric energy sensitivity of the non-directly connected units, and visualize the electric energy sensitivity results.

9. An electronic device, characterized in that: include: Memory and processor; The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the non-directly connected unit electric energy sensitivity analysis method based on graph calculation as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: It stores computer executable instructions, which, when executed by a processor, implement the steps of the method for analyzing the electric energy sensitivity of non-directly connected units based on graph calculation as described in any one of claims 1 to 7.