A method and device for checking primary wiring diagram of smart grid plant

Abstract

The present invention discloses a verification method and device for a primary wiring diagram of a smart grid plant, which is applied to a dispatching master station. The method specifically includes the following steps: based on a substation SCD model, obtaining a primary wiring diagram of a first plant; collecting a primary wiring diagram of a second plant; extracting topological detection data of the primary wiring diagram of the first plant and the primary wiring diagram of the second plant respectively, and correspondingly forming a target undirected graph and a query undirected graph; obtaining a mapping relationship between the query undirected graph and the target undirected graph through a matching algorithm; and completing the verification of the primary wiring diagram of a smart grid plant based on the obtained mapping relationship. The present invention reduces the complexity of manual operations of substations and improves the construction efficiency of smart substations through automatic verification of wiring diagrams with plug-and-play and graph matching.

Description

Technical Field

[0001] The present invention relates to the technical field of smart power stations, and specifically to a method and device for verifying a primary wiring diagram of a smart power grid plant. Background Art

[0002] In the drawing and management of traditional power grid plant wiring diagrams, power grid staff not only need to have rich work experience, but also need to be familiar with the history of the power grid and current plant equipment. There are two problems: (1) There is a lack of scientific and verifiable reference standards, which is likely to lead to a lack of standardization of plant wiring diagrams, which also contains potential safety risks; (2) Due to new networks, old line reconstruction, mode changes, maintenance, etc., the components and connection methods of the main wiring often change. Real-time updating of plant wiring diagrams requires higher labor costs and management costs.

[0003] At present, local SCADA (Supervisory Control And Data Acquisition) monitoring systems and dispatching monitoring systems are deployed at the substation site of the smart substation, which are responsible for monitoring the operation of the smart substation nodes of the power grid.

[0004] For example, patent CN115761030A provides a method, device and server for automatically generating a primary wiring diagram of a substation. The method includes: obtaining the equipment information and equipment topology connection information of the target substation; using the primary equipment information to determine the operating unit to which the target primary equipment in the target substation belongs, and using the operating unit to perform an overall layout of the target substation to obtain a primary equipment layout diagram; using the secondary equipment information to perform a secondary layout of the target substation to obtain a secondary equipment layout diagram; using the equipment topology connection information to perform graphic splicing processing on the primary equipment layout diagram and the secondary equipment layout diagram to obtain the target wiring diagram. This solution can significantly improve the efficiency of generating substation wiring diagrams and improve the timeliness of graphic changes and updates by automatically generating a primary wiring diagram of a substation.

[0005] Patent CN115294595A provides a method for intelligent parsing of a primary wiring diagram of a substation, including: 1) realizing position detection and rotation angle recognition of graphic elements in a primary wiring diagram based on a target detection algorithm and a template matching method; 2) using Hough line detection to identify the main connecting lines in the wiring diagram, and detecting the endpoints of the graphic elements according to the positions of the graphic elements; 3) using the background color to fill the pixel area where the graphic element is located to obtain a primary wiring diagram containing only connecting lines, and using threshold segmentation to extract connecting line pixels; 4) selecting the endpoint of any graphic element as the starting growth point, obtaining the connected area with the starting growth point, and using or copying to first detect and fit the connected area; the advantages of this scheme are: it can intelligently extract structured information such as components, topological relationships, keywords, etc. from the unstructured primary wiring diagram, automatically generate a wiring table, effectively digitally manage the existing primary wiring diagram, and greatly improve the work efficiency of substation operation and maintenance managers.

[0006] In the past, in the construction and maintenance of smart substations, there were problems such as long construction period, uneven data source quality, complex business data information, independent and unshared data models of the master station and the plant station. In addition, there were also problems such as repeated data information entry and manual workload far exceeding conventional expectations.

[0007] From the current monitoring system construction situation, there are many repetitive tasks in the master station and substation. Before commissioning the substation site, substation engineers usually manually input the information and monitoring graphics of their monitoring system into the on-site monitoring system of the smart substation. The monitoring system between the master station and the substation still has the problem of repeated information entry and repeated verification.

[0008] Therefore, how to solve the problems of complex engineering configuration and large workload of manual inspection of information between the master station and the substation in the construction of smart substations, so as to improve the verification accuracy and construction efficiency of smart substations, is an urgent problem to be solved by technical personnel in this field. Summary of the invention

[0009] In view of the defects existing in the above-mentioned prior art, the present invention provides a verification method and device for the primary wiring diagram of a smart grid plant station. Based on the substation SCD model, the primary wiring diagram of the first plant station is obtained, the primary wiring diagram of the second plant station is collected, and the topological detection data of the first plant station primary wiring diagram and the second plant station primary wiring diagram are respectively extracted, and the target undirected graph and the query undirected graph are correspondingly formed. Through the matching algorithm, the mapping relationship between the query undirected graph and the target undirected graph is obtained, and the verification of the primary wiring diagram of the smart grid plant station is completed based on the obtained mapping relationship. The present invention reduces the complexity of manual operations of substations and improves the construction efficiency of smart substations through automatic verification of wiring diagrams with plug-and-play and graph matching.

[0010] In a first aspect, the present invention provides a method for verifying a primary wiring diagram of a smart grid plant, which is applied to a dispatching master station and specifically comprises the following steps:

[0011] Based on the substation SCD model, obtain the primary wiring diagram of the first substation;

[0012] Collect the primary wiring diagram of the second plant station, where the primary wiring diagram of the second plant station is the primary wiring diagram of the plant station to be verified;

[0013] Extract the topology detection data of the primary wiring diagram of the first plant and the primary wiring diagram of the second plant respectively, and form a target undirected graph and a query undirected graph accordingly;

[0014] Through the matching algorithm, the mapping relationship between the query undirected graph and the target undirected graph is obtained;

[0015] Based on the acquired mapping relationship, the primary wiring diagram of the smart grid plant is verified.

[0016] Further, based on the substation SCD (Substation Configuration Description) model, the primary wiring diagram of the first substation is obtained, which specifically includes the following steps:

[0017] Establish the communication relationship between the dispatching master station and each substation;

[0018] Obtain the IED (Intelligent electronic device) model of the intelligent device in each substation and generate the substation SCD model, wherein the SCD model includes the ICD (IED Capability Description) model of the secondary device and the SSD (System Specification Description) model of the primary device;

[0019] The substation SCD model is analyzed to obtain the primary wiring diagram of the first plant station containing the connection relationship between intelligent devices.

[0020] Furthermore, the communication relationship between the dispatching master station and each substation intelligent device is established, including:

[0021] The dispatching master station obtains the information forwarding point table and transmits the information forwarding point table to each substation;

[0022] Each substation receives the information forwarding point table and transmits the real-time information back to the dispatching master station through the information forwarding point table.

[0023] Furthermore, the SSD model includes the connection relationship between primary devices and the association relationship between primary and backup devices.

[0024] Further, topology detection data of the primary wiring diagram of the first plant and the primary wiring diagram of the second plant are extracted respectively, and a target undirected graph and a query undirected graph are formed correspondingly, which specifically includes the following steps:

[0025] Perform topological detection on the primary wiring diagram of the first plant and the primary wiring diagram of the second plant respectively;

[0026] Extract the result data of the topology detection of the primary wiring diagram of the first plant station and the primary wiring diagram of the second plant station, obtain the component data of each intelligent device, and form the component data of the primary wiring diagram of the first plant station and the component data of the primary wiring diagram of the second plant station;

[0027] The component data is node-processed, and based on the connection relationship between each intelligent device, a target undirected graph and a query undirected graph are formed, wherein the component data of the primary wiring diagram of the first plant station corresponds to the target undirected graph, and the component data of the primary wiring diagram of the second plant station corresponds to the query undirected graph.

[0028] Furthermore, the component data is node-processed, which specifically includes the following steps:

[0029] Set different numbering nodes according to the type and location of component data;

[0030] Based on the connection relationship between smart devices, connect all corresponding nodes;

[0031] Get the outline of the lines between each node and set different numbered lines.

[0032] Furthermore, a mapping relationship between the query undirected graph and the target undirected graph is obtained through a matching algorithm, which specifically includes the following steps:

[0033] The query undirected graph is divided into multiple query subgraphs, and the subgraphs are collected to form a query subgraph set;

[0034] Using a matching algorithm, the query subgraphs in the query subgraph set are matched with the target undirected graph respectively;

[0035] The matching data of the query subgraph is obtained, and the mapping relationship between the query undirected graph and the target undirected graph is obtained.

[0036] Furthermore, a matching algorithm is used to match the query subgraphs in the query subgraph set with the target undirected graph respectively, which specifically includes the following steps:

[0037] S1. Obtain a pre-built answer set and initialize the answer set;

[0038] S2. Obtain the level of the query subgraph set consisting of all query subgraphs based on the SP-Tree function, and use the level of the query subgraph set as its corresponding minimum height value d;

[0039] S3, obtaining all vertices of the target undirected graph containing component attribute information to form a target vertex set, and using the superstep function to call the connection states corresponding to all vertices to form a target state set, wherein the connection state includes the connection relationship between the vertex and other vertices;

[0040] S4, select a query subgraph from the query subgraph set, and obtain all vertices of the query subgraph to form an initial vertex set;

[0041] S5, selecting a vertex from the initial vertex set, and matching it with the target vertex set of the target undirected graph based on the component attribute information to obtain a matching result set;

[0042] S6. Based on the superstep function, retrieve the connection state corresponding to the vertex selected from the initial vertex set;

[0043] S7, the connection state of the vertices selected from the initial vertex set, the target state set and the matching result set, to obtain the vertices selected from the initial vertex set and the vertices matching the target undirected graph;

[0044] S8, repeating steps S5-S7 until all vertices are selected from the initial vertex set, and outputting the vertices of the target undirected graph that match the initial vertex set;

[0045] S9, update the matching results of the query subgraph and the target undirected graph to the initialized answer set, which is specifically expressed as: Ω q '←Ω q ∪val(v).Res, where Ω q ' is the updated answer set, Ω q is the answer set before updating, val(v).Res is the matching result of vertex v in the initial vertex set;

[0046] S10, repeating steps S4-S9 in the selection order from 0 to d until all query subgraphs are selected from the query subgraph set, and outputting an updated answer set;

[0047] S11. Obtain the matching results of all query subgraphs and the target undirected graph according to the updated answer set.

[0048] Furthermore, based on the acquired mapping relationship, the primary wiring diagram of the smart grid plant is verified, including:

[0049] According to the obtained mapping relationship, the matching degree between the query undirected graph and the target undirected graph is obtained;

[0050] The matching degree is compared with a preset matching threshold, wherein if the matching degree is higher than the matching threshold, the verification is successful, and if the matching degree is lower than the matching threshold, the primary wiring diagram of the second plant station is recollected.

[0051] In a second aspect, the present invention further provides a verification device for a primary wiring diagram of a smart grid plant, which adopts the verification method for the primary wiring diagram of a smart grid plant as described above, comprising:

[0052] The acquisition module obtains the primary wiring diagram of the first substation and the primary wiring diagram of the second substation based on the SCD model of the substation;

[0053] The processing module extracts the topology detection data of the primary wiring diagram of the first plant station and the primary wiring diagram of the second plant station respectively, forms a target undirected graph and a query undirected graph correspondingly, and obtains a mapping relationship between the query undirected graph and the target undirected graph through a matching algorithm;

[0054] The verification module completes the verification of the primary wiring diagram of the smart grid plant based on the acquired mapping relationship.

[0055] The present invention provides a method and device for checking the primary wiring diagram of a smart grid plant, which has at least the following beneficial effects:

[0056] (1) The present invention reduces the complexity of manual operations in substations and improves the construction efficiency of smart substations through automatic verification of wiring diagrams with plug-and-play and diagram matching.

[0057] (2) The relative position relationship of each component is determined through topology detection data and matching algorithms, which improves the depth of interaction between the smart substation and the dispatching master station, greatly reduces the complexity of manual work in the substation, and improves the construction efficiency of the smart substation. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 A flow chart of a method for verifying a primary wiring diagram of a smart grid plant provided by the present invention;

[0059] Figure 2 A flowchart of obtaining a primary wiring diagram of a first plant station according to an embodiment of the present invention;

[0060] Figure 3 A flowchart of obtaining a mapping relationship according to an embodiment of the present invention;

[0061] Figure 4 A schematic diagram of matching a query subgraph with a target undirected graph in a certain embodiment of the present invention;

[0062] Figure 5 A schematic diagram of a graph matching result of a certain embodiment provided by the present invention;

[0063] Figure 6 A schematic diagram of a verification device for a primary wiring diagram of a smart grid plant provided by the present invention. DETAILED DESCRIPTION

[0064] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] The terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. The singular forms "a", "said" and "the" used in the embodiments of the present invention and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings, and "multiple" generally includes at least two.

[0066] It should also be noted that the term "includes", "comprising" or any other variation thereof is intended to cover non-exclusive inclusion, so that a commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprising a ..." do not exclude the existence of other identical elements in the commodity or device including the elements.

[0067] In order to solve the problems of complex engineering configuration and large workload of manual information inspection between master station and substation in the construction of smart substation, the plug-and-play and graph matching wiring diagram verification technology in smart grid is adopted to carry out deep collaborative work of advanced intelligent applications between master station and substation. Through topology detection data and matching algorithm, the relative position relationship of each component is determined to complete the verification of wiring diagram.

[0068] like Figure 1 As shown, a verification method for a primary wiring diagram of a smart grid plant is applied to a dispatching master station, and specifically includes the following steps:

[0069] Based on the substation SCD model, obtain the primary wiring diagram of the first substation;

[0070] Collect the primary wiring diagram of the second plant station, where the primary wiring diagram of the second plant station is the primary wiring diagram of the plant station to be verified;

[0071] Extract the topology detection data of the primary wiring diagram of the first plant and the primary wiring diagram of the second plant respectively, and form a target undirected graph and a query undirected graph accordingly;

[0072] Through the matching algorithm, the mapping relationship between the query undirected graph and the target undirected graph is obtained;

[0073] Based on the acquired mapping relationship, the verification of the smart grid plant wiring diagram is completed.

[0074] like Figure 2 As shown, based on the substation SCD model, the primary wiring diagram of the first substation is obtained, which specifically includes the following steps:

[0075] Establish the communication relationship between the dispatching master station and each substation;

[0076] Obtain the IED model of the intelligent device in each substation and generate the substation SCD model, where the SCD model includes the ICD model of the secondary device and the SSD model of the primary device. The SSD model includes the connection relationship between the primary devices and the association relationship between the main and standby devices.

[0077] The substation SCD model is analyzed to obtain the first plant wiring diagram containing the connection relationship between smart devices.

[0078] In the substation, the plug-and-play construction process of the substation monitoring system for intelligent devices is as follows: the system configuration device of the monitoring system can directly communicate with the intelligent devices at the bay layer. When the intelligent devices are connected to the monitoring network, the system configuration device obtains the IED model online to form the substation-wide SCD model, which includes the ICD model of the secondary equipment and the SSD model of the primary equipment (where the SSD model of the primary equipment describes the connection relationship between the primary equipment and the association relationship between the primary and standby equipment). Based on the substation SCD model, the monitoring system generates the model library, real-time library and monitoring screen of the substation monitoring system to realize online monitoring of the primary and secondary equipment of the substation.

[0079] When the substation is connected to the dispatching master station, the entire monitoring system can be automatically constructed by the control system, and its construction process is similar to the construction process of the substation. The dispatching master station EMS system automatically calls the substation SCD model through the data communication gateway in the substation automation system. By analyzing the substation SCD model, the dispatching master station can automatically build, store, and draw. For multiple connected substation SCD models, the dispatching master station can realize the splicing of each substation SCD model and generate a wiring diagram.

[0080] Establishing the communication relationship between the dispatching master station and each substation intelligent device includes the following steps:

[0081] The dispatching master station obtains the information forwarding point table and transmits the information forwarding point table to each substation;

[0082] Each substation receives the information forwarding point table and transmits the real-time information back to the dispatching master station through the information forwarding point table.

[0083] According to the need to transmit real-time data, the dispatching master station can export the information forwarding point table of the substation that needs to send data from the real-time library, and transmit it to the communication gateway of the substation to realize the automatic configuration of the information forwarding point table of the gateway. The data gateway of the substation can forward the real-time information in the substation to the dispatching system according to the information forwarding point table issued by the dispatching master station, realize the automatic collection and forwarding of the operation information of the primary and secondary equipment, thereby realizing the plug-and-play automatic construction process between the master station and the substation, avoiding the manual configuration link. Specifically, the information forwarding point table adopts the CIM / E format, mainly including the communication point number, the IEC61850 original path of the device and other information. Based on this information, the original information point of the specific secondary equipment can be located. The real-time information of the substation mainly includes: online monitoring information of secondary equipment and graphic model information (including SCD and other models). The primary wiring diagram of the plant station is generated by SCD model analysis.

[0084] In this embodiment, topology detection data of the primary wiring diagram of the first plant and the primary wiring diagram of the second plant are respectively extracted to form a target undirected graph and a query undirected graph respectively, which may specifically include the following steps:

[0085] Perform topological detection on the primary wiring diagram of the first plant and the primary wiring diagram of the second plant respectively;

[0086] Extract the result data of the topology detection of the primary wiring diagram of the first plant station and the primary wiring diagram of the second plant station, obtain the component data of each intelligent device, and form the component data of the primary wiring diagram of the first plant station and the component data of the primary wiring diagram of the second plant station;

[0087] The component data is node-processed, and based on the connection relationship between each intelligent device, a target undirected graph and a query undirected graph are formed, wherein the component data of the primary wiring diagram of the first plant station corresponds to the target undirected graph, and the component data of the primary wiring diagram of the second plant station corresponds to the query undirected graph.

[0088] Common components in the primary wiring diagram of a power plant include transformers, mutual inductors, fuses, disconnectors, etc.

[0089] The node processing of the component data specifically includes the following steps:

[0090] Set different numbering nodes according to the type and location of component data;

[0091] Based on the connection relationship between smart devices, connect all corresponding nodes;

[0092] Get the outline of the lines between each node and set different numbered lines.

[0093] like Figure 3As shown, in this embodiment, a mapping relationship between a query undirected graph and a target undirected graph is obtained through a matching algorithm, which may specifically include the following steps:

[0094] The query undirected graph is divided into multiple query subgraphs, and the subgraphs are collected to form a query subgraph set;

[0095] Using a matching algorithm, the query subgraphs in the query subgraph set are matched with the target undirected graph respectively;

[0096] The matching data of the query subgraph is obtained, and the mapping relationship between the query undirected graph and the target undirected graph is obtained.

[0097] See also Figure 4 As shown, in an application scenario, a matching algorithm is used to match the query subgraphs in the query subgraph set with the target undirected graph respectively, which specifically includes the following steps:

[0098] S1. Obtain a pre-built answer set and initialize the answer set;

[0099] S2. Obtain the level of the query subgraph set composed of all query subgraphs based on the SP-Tree function, and use the level of the query subgraph set as its corresponding minimum height value d; different levels of the query subgraph set correspond to different query subgraphs, that is, different heights correspond to different query subgraphs;

[0100] S3, obtaining all vertices of the target undirected graph containing component attribute information to form a target vertex set, and using the superstep function to call the connection states corresponding to all vertices to form a target state set, wherein the connection state includes the connection relationship between the vertex and other vertices;

[0101] S4, select a query subgraph from the query subgraph set, and obtain all vertices of the query subgraph to form an initial vertex set;

[0102] S5, selecting a vertex from the initial vertex set, and matching it with the target vertex set of the target undirected graph based on the component attribute information to obtain a matching result set;

[0103] S6. Based on the superstep function, retrieve the connection state corresponding to the vertex selected from the initial vertex set;

[0104] S7, the connection state of the vertices selected from the initial vertex set, the target state set and the matching result set, to obtain the vertices selected from the initial vertex set and the vertices matching the target undirected graph;

[0105] S8, repeating steps S5-S7 until all vertices are selected from the initial vertex set, and outputting the vertices of the target undirected graph that match the initial vertex set;

[0106] S9, update the matching results of the query subgraph and the target undirected graph to the initialized answer set, which is specifically expressed as: Ω q '←Ω q ∪val(v).Res, where Ω q ' is the updated answer set, Ω q is the answer set before updating, val(v).Res is the matching result of vertex v in the initial vertex set;

[0107] S10, repeating steps S4-S9 in the selection order from 0 to d until all query subgraphs are selected from the query subgraph set, and outputting an updated answer set;

[0108] S11. Obtain the matching results of all query subgraphs and the target undirected graph according to the updated answer set.

[0109] In step S5, when the vertices selected from the initial vertex set are matched with the target vertex set of the target undirected graph, there may be a situation where one vertex corresponds to multiple vertices, that is, there may be multiple vertices with the same component attribute information in the target undirected graph, resulting in one vertex of the query subgraph corresponding to multiple vertices in the target undirected graph when the query subgraph is matched. In order to screen the matched vertices, step S7 is used to match the connection status of the vertex of the query subgraph with the connection status of the target status set to obtain the connection status of the vertex that matches it in the target undirected graph, and a vertex of the target undirected graph that finally matches the vertex of the query subgraph is selected from the matching result set according to the connection status of the matched vertex.

[0110] Specifically, the topology detection results of the primary wiring diagrams of the substation SCD model and the manually maintained substation are extracted, and the connection relationship of the intelligent devices is abstracted to obtain two undirected graphs (i.e., the target undirected graph and the query undirected graph). The mapping relationship is matched through the subgraph matching algorithm to verify the manually maintained primary wiring diagram of the second substation. At the same time, the line contour numbering during topology detection is extracted to determine the relative position relationship of each component, thereby solving the numbering and naming problem of the two undirected graphs during topology relationship detection. Figure 5 As shown in the figure, the result of verifying the manually maintained primary wiring diagram of the second plant station is shown. The manually maintained primary wiring diagram of the second plant station generates a query subgraph containing components, matches the query subgraph with the target undirected graph of the primary wiring diagram of the first plant station of the model, and the components that successfully match the primary wiring diagram of the first plant station of the model are listed in Figure 5 The manually maintained second plant station primary wiring diagram is selected with a solid line box, and the components that are not successfully matched with the manually maintained second plant station primary wiring diagram and the first plant station primary wiring diagram of the model are selected with a dotted line box, and the line outline of the numbered node is numbered to name the selected components, for example, Figure 5 Numbers such as 26S114 and 26013 in the middle.

[0111] In this embodiment, based on the obtained mapping relationship, the verification of the primary wiring diagram of the smart grid substation is completed, which may specifically include:

[0112] According to the obtained mapping relationship, the matching degree between the query undirected graph and the target undirected graph is obtained;

[0113] Compare the matching degree with a preset matching threshold. Among them, if the matching degree is higher than the matching threshold, the verification is successful. If the matching degree is lower than the matching threshold, the primary wiring diagram of the second substation is collected again.

[0114] For example, the matching degree is n / m, where n is the number of query subgraphs matching the target undirected graph, and m is the number of query subgraphs divided by the query undirected graph;

[0115] Comparing the matching degree with the preset matching threshold is specifically:

[0116] Compare the matching degree with the initially set matching threshold t. If n / m > t, the connection between the master and slave substations is successful and information interaction can be realized; if the mapping relationship between the two undirected graphs is not obtained or n / m < t, the two undirected graphs do not match.

[0117] As Figure 6 As shown, the present invention also provides a verification device for the primary wiring diagram of a smart grid substation, which adopts the above-mentioned verification method for the primary wiring diagram of a smart grid substation, including:

[0118] A collection module, based on the substation SCD model, obtains the primary wiring diagram of the first substation and collects the primary wiring diagram of the second substation;

[0119] A processing module, respectively extracts the topological detection data of the primary wiring diagram of the first substation and the primary wiring diagram of the second substation, correspondingly forms a target undirected graph and a query undirected graph, and obtains the mapping relationship between the query undirected graph and the target undirected graph through a matching algorithm;

[0120] A verification module, based on the obtained mapping relationship, completes the verification of the primary wiring diagram of the smart grid substation.

[0121] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications once they know the basic creative concepts. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present invention. Obviously, those skilled in the art can make various changes and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention also intends to include these modifications and variations.

Claims

1. A method for checking the primary wiring diagram of a smart grid plant, applied to a dispatching master station, characterized in that: The specific steps include: Based on the substation SCD (Substation Configuration Descroption) model, obtain the primary wiring diagram of the first substation; Collect the primary wiring diagram of the second plant station, where the primary wiring diagram of the second plant station is the primary wiring diagram of the plant station to be verified; Extract the topology detection data of the primary wiring diagram of the first plant and the primary wiring diagram of the second plant respectively, and form a target undirected graph and a query undirected graph accordingly; The mapping relationship between the query undirected graph and the target undirected graph is obtained by a matching algorithm, which specifically includes the following steps: dividing the query undirected graph to obtain multiple query subgraphs, and aggregating them to form a query subgraph set; using a matching algorithm, matching the query subgraphs in the query subgraph set with the target undirected graph respectively; obtaining matching data of the query subgraphs to obtain a mapping relationship between the query undirected graph and the target undirected graph; Based on the acquired mapping relationship, the primary wiring diagram of the smart grid plant is verified; Among them, a matching algorithm is used to match the query subgraphs in the query subgraph set with the target undirected graph respectively, which specifically includes the following steps: S1. Obtain a pre-built answer set and initialize the answer set; S2. Obtain the level of the query subgraph set consisting of all query subgraphs based on the SP-Tree function, and use the level of the query subgraph set as its corresponding minimum height value d; S3, obtaining all vertices of the target undirected graph containing component attribute information to form a target vertex set, and using the superstep function to call the connection states corresponding to all vertices to form a target state set, wherein the connection state includes the connection relationship between the vertex and other vertices; S4, selecting a query subgraph from the query subgraph set, and obtaining all vertices of the query subgraph to form an initial vertex set; S5, selecting a vertex from the initial vertex set, and matching it with the target vertex set of the target undirected graph based on the component attribute information to obtain a matching result set; S6. Based on the superstep function, retrieve the connection state corresponding to the vertex selected from the initial vertex set; S7, the connection state of the vertices selected from the initial vertex set, the target state set and the matching result set, to obtain the vertices selected from the initial vertex set and the vertices matching the target undirected graph; S8, repeating steps S5-S7 until all vertices are selected from the initial vertex set, and outputting the vertices of the target undirected graph that match the initial vertex set; S9, update the matching results of the query subgraph and the target undirected graph to the initialized answer set, which is specifically expressed as: Ω q ' ←Ω q ∪ val ( v ). Res , where Ω q ' is the updated answer set, Ω q For the answer set before the update, val ( v ). Res Set vertices for initial vertices v The matching results; S10, repeating steps S4-S9 in the selection order from 0 to d until all query subgraphs are selected from the query subgraph set, and outputting an updated answer set; S11. Obtain the matching results of all query subgraphs and the target undirected graph according to the updated answer set.

2. The method for verifying the primary wiring diagram of a smart grid plant as claimed in claim 1, characterized in that: Based on the substation SCD model, the primary wiring diagram of the first substation is obtained, which specifically includes the following steps: Establish the communication relationship between the dispatching master station and each substation; Obtain the IED (Intelligent electronic device) model of each substation and generate the substation SCD model, where the SCD model includes the ICD (IED Capability Description) model of the secondary equipment and the SSD (System Specification Description) model of the primary equipment; The substation SCD model is analyzed to obtain the primary wiring diagram of the first plant station containing the connection relationship between intelligent devices.

3. The method for verifying the primary wiring diagram of a smart grid plant as claimed in claim 2, characterized in that: Establish the communication relationship between the dispatching master station and each substation intelligent device, including: The dispatching master station obtains the information forwarding point table and transmits the information forwarding point table to each substation; Each substation receives the information forwarding point table and transmits the real-time information back to the dispatching master station through the information forwarding point table.

4. The method for checking the primary wiring diagram of a smart grid plant as claimed in claim 2, characterized in that: The SSD model includes the connection relationship between primary devices and the association relationship between primary and backup devices.

5. The method for checking the primary wiring diagram of a smart grid plant as claimed in claim 3, characterized in that: The topological detection data of the primary wiring diagram of the first plant and the primary wiring diagram of the second plant are extracted respectively, and a target undirected graph and a query undirected graph are formed correspondingly, which specifically includes the following steps: Perform topological detection on the primary wiring diagram of the first plant and the primary wiring diagram of the second plant respectively; Extract the result data of the topology detection of the primary wiring diagram of the first plant station and the primary wiring diagram of the second plant station, obtain the component data of each intelligent device, and form the component data of the primary wiring diagram of the first plant station and the component data of the primary wiring diagram of the second plant station; The component data is node-processed, and based on the connection relationship between each intelligent device, a target undirected graph and a query undirected graph are formed, wherein the component data of the primary wiring diagram of the first plant station corresponds to the target undirected graph, and the component data of the primary wiring diagram of the second plant station corresponds to the query undirected graph.

6. The method for checking the primary wiring diagram of a smart grid plant as claimed in claim 5, characterized in that: The component data is processed into nodes, which specifically includes the following steps: Set different numbering nodes according to the type and location of component data; Based on the connection relationship between smart devices, connect all corresponding nodes; Get the outline of the lines between each node and set different numbered lines.

7. The method for checking the primary wiring diagram of a smart grid plant as claimed in claim 1, characterized in that: Based on the obtained mapping relationship, the primary wiring diagram of the smart grid plant is verified, including: According to the obtained mapping relationship, the matching degree between the query undirected graph and the target undirected graph is obtained; The matching degree is compared with a preset matching threshold, wherein if the matching degree is higher than the matching threshold, the verification is successful, and if the matching degree is lower than the matching threshold, the primary wiring diagram of the second plant station is recollected.

8. A device for checking the primary wiring diagram of a smart grid plant, characterized in that: A method for verifying a primary wiring diagram of a smart grid plant as claimed in any one of claims 1 to 7 comprises: The acquisition module obtains the primary wiring diagram of the first substation and the primary wiring diagram of the second substation based on the SCD model of the substation; The processing module extracts the topology detection data of the primary wiring diagram of the first plant station and the primary wiring diagram of the second plant station respectively, forms a target undirected graph and a query undirected graph correspondingly, and obtains a mapping relationship between the query undirected graph and the target undirected graph through a matching algorithm; The verification module completes the verification of the primary wiring diagram of the smart grid plant based on the acquired mapping relationship.

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