A method for checking consistency of PMS graph

By using the PMS map-to-real-world consistency verification method and leveraging online identification and UAV inspection technologies, the data processing flow of the power grid topology map is simplified, solving the problem of low efficiency in power grid topology consistency verification and enabling efficient topology updates and maintenance.

CN115630202BActive Publication Date: 2025-11-18STATE GRID JIANGSU ELECTRIC POWER CO LTD TAIZHOU POWER SUPPLY BRANCH +2
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Patent Information

Application Number
CN202211412188.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-11-11
Publication Date
2025-11-18
Estimated Expiration
2042-11-11

AI Technical Summary

Technical Problem

In existing technologies, it is difficult to maintain consistency between the power grid topology diagram and the topology structure within the PMS system, resulting in low efficiency of manual analysis and processing, and making it impossible to efficiently and accurately complete the task of verifying the consistency between the diagram and the actual situation.

Method used

The PMS map-to-real-world consistency verification method is adopted, which includes data import, topology map establishment, topology map data extraction, actual topology database establishment, and map-to-real-world consistency verification steps. Real-time data is obtained using online recognition technology for verification. Combined with UAV inspection and PMS online recognition, the data processing flow is simplified and the topology structure is optimized.

Benefits of technology

It improves the efficiency of map-to-real-world consistency verification, reduces data processing volume, lowers the demand for computing power and human resources, and enables rapid updating and maintenance of the power grid topology.

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Abstract

The application belongs to the technical field of graph and actuality consistency checking methods, and particularly relates to a PMS graph and actuality consistency checking method. The method comprises the following steps: completing PMS data import and topology graph establishment of distribution network; completing topology graph data extraction; and establishing an actual topology database. Specifically, the topology relationship of electrical equipment in the distribution network is obtained based on online identification and online inspection technology, and real-time data of topology nodes and their connection attributes are reconstructed. The key nodes and their connection relationship determined in the topology matching step are compared and verified based on the real-time data to confirm whether the actual situation is consistent with the topology graph data in the database. The PMS graph and actuality consistency checking method has a simple overall implementation process and is convenient to operate. The various types of basic data can be quickly extracted by using existing power grid service systems such as PMS, and the data extraction and simplification steps can effectively compress the overall data volume, improve the data processing efficiency, and reduce the demand for computing resources and human resources of the checking work.
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Description

Technical Field

[0001] This invention belongs to the technical field of map-to-real consistency verification methods, and particularly relates to a PMS map-to-real consistency verification method. Background Technology

[0002] The power grid topology diagram is one of the essential basic data for the management, maintenance, planning and design of the distribution network. In specific application scenarios, due to the characteristics of different system data structures and the influence of factors such as changes in spatiotemporal information, it is often difficult to ensure that the actual topology structure is completely consistent with the topology structure in the PMS system. Therefore, it is necessary to analyze and verify the differences between the actual topology structure and the data in the model. The current verification process often relies on manual analysis and processing. Since it involves a large number of nodes and attribute data, the overall processing efficiency is reduced, which is not conducive to completing the map-to-real consistency verification task efficiently and accurately. Summary of the Invention

[0003] The purpose of this invention is to provide a PMS map-to-real-object consistency verification method that simplifies the verification task process, reduces data processing volume, and improves the efficiency of map-to-real-object consistency verification.

[0004] To achieve the above objectives, the present invention adopts the following technical solution.

[0005] A method for verifying the consistency between PMS (Program Management System) and reality includes the following steps:

[0006] Step 1. Steps for completing the data import and topology map creation for the distribution network PMS.

[0007] The distribution network PMS data includes spatial data, attribute data, and connection relationships of distribution network node devices; the data import includes: importing and parsing CIM data, obtaining CIM model and configuration strategy data; and constructing a network topology diagram G = (V, E).

[0008] The construction of the network topology graph refers to: defining the set V(G) of distribution nodes such as substations, transformers, and switches within the power grid; the edge set E(G) formed by the connecting lines between nodes within the power grid; and defining the substation node set R = (R i ), i = 1, 2, ..., I, where I is the total number of nodes; with node set R = (R i The root node is an internal node. The node connections are searched sequentially until the end node or the network interconnection switch node is reached, resulting in a set T' = (T'...). j ), j = 1, 2...J, where J is the total number of substation nodes; using the network interconnection switch node as the root node, search the remaining nodes to obtain a set T” = (T”) of the second-class topology tree excluding substations. k), k = 1, 2...K, where K is the total number of network connection switch nodes, resulting in the network topology graph G = (V, E);

[0009] Step 2. Steps used to complete the topology map data extraction.

[0010] Specifically, a circuit consisting of output feeders from a medium-voltage substation is defined as a primary circuit, and a closed-loop circuit within the same feeder network is defined as a secondary circuit; the hierarchical matching specifically includes:

[0011] 2.1 Primary circuit matching specifically refers to matching the circuit based on the distribution network PMS data and network topology G=(V,E), and based on an arbitrary topology tree T'. a Given a ∈ {J+K}, search within the topology tree to see if its root node a is connected to other substation nodes b. If so, extract the first-order edge C between the root node and the substation node. ab Given that a, b ∈ J, we obtain a set of several linear cycles {C} consisting of linear edges. m}, extract any one cycle C m All the switching nodes constitute a primary switching set Based on the data recorded in the distribution network switch log table The normal open / closed states of each switch are determined, and the switches that are normally open constitute a set of normally open switches. Extract from distribution network data Based on the load status data on both sides of the switch, select a switch with balanced load on both sides. Obtain the set of key switches for the primary loop

[0012] 2.2 Secondary circuit matching, specifically refers to matching the distribution network PMS data and network topology diagram G=(V,E) from the topology tree T. a Any node V in ' α Starting from this point, search for sequentially connected nodes V within the scope of this topology tree. α V α+1 ...if it can eventually return to node V α Then the loop C formed by these nodes n This is called a quadratic circuit, and we obtain the set of quadratic circuits {C}. n};

[0013] Step 3. Steps for establishing the actual topology database

[0014] Specifically, it refers to: obtaining the topological relationships of electrical equipment in the power distribution network based on online identification and online inspection technology, and reconstructing real-time data of topological nodes and their connection attributes;

[0015] Step 4. Steps for verifying consistency between drawings and reality

[0016] Specifically, this refers to comparing and verifying the key nodes and their connection relationships determined by the aforementioned topology matching steps based on real-time data, in order to confirm whether the actual situation is consistent with the topology data in the database;

[0017] Specifically, it includes the following steps:

[0018] 4.1. Based on real-time data, the key nodes and their connection relationships determined in the aforementioned topology matching steps are used to obtain a real network topology dataset.

[0019] 4.2. Based on the node sets of each primary loop determined in the preceding steps, verify the node data in the real topology dataset. If the node data matches, proceed to step 4.3; if the node data does not match, then based on the key switch set of that primary loop... Each node in the middle calls step 2.1 to search and update the loop again, until all loops are updated, and then proceeds to step 4.4;

[0020] 4.3. Based on the node sets of each secondary loop determined in the preceding steps, verify the node data in the real topology dataset. If the node data matches, the verification ends; if the node data does not match, proceed to step 4.4.

[0021] 4.4. Call step 2.2 of this section to update the secondary circuit;

[0022] 4.5 End of verification.

[0023] Further improvements or preferred implementations of the aforementioned PMS graph-data consistency verification method include, in step 1, a preprocessing step, including: preprocessing of data in the basic data that is outside a given range or is unrelated to actual business data or whose data format does not conform to the standard, and preprocessing of data that does not conform to actual business logic and specifications.

[0024] A further improvement or preferred implementation of the aforementioned PMS graph-to-real-world consistency verification method also includes, in step 4, a step for topology optimization, specifically including:

[0025] 4.6 Steps for performing topology tree optimization;

[0026] Specifically, this refers to any topological tree T' a For a∈{J+K}, search for an intermediate node e in the topology tree that has one node on each side and is not connected to any load node or power node. Delete node e and the connecting edges on both sides of it. Connect the nodes on the front and back sides of the intermediate node e. Combine the impedance, length and geographic coordinate information of the two deleted connecting edges as the attributes of the newly connected edge.

[0027] 4.7 Steps for performing primary loop optimization

[0028] Specifically, this means searching each node in a primary loop, identifying a central node that is connected to at least three other nodes, and if a node connected to the central node is connected to a feeder line, then the feeder line is removed, and the power distribution attribute of the feeder line is assigned to the node.

[0029] Further improvements or preferred implementation schemes for the aforementioned PMS image-to-real-world consistency verification method include that the online identification and online inspection technologies in step 3 are based on UAV online inspection and PMS online identification methods.

[0030] Further improvements or preferred implementation schemes of the aforementioned PMS map-to-real-world consistency verification method also include step 5, which involves obtaining real-time cross-sectional information of the new device or node in the power grid by connecting and disconnecting the new node, comparing it with the original topology data, and then verifying and updating the original topology map data.

[0031] Its beneficial effects are as follows:

[0032] The PMS map-to-real consistency verification method of this application has a simple overall implementation process and is easy to operate. Its various basic data can be quickly extracted using existing PMS and other power grid service systems. By combining data extraction and simplification steps, it can effectively compress the overall data volume, improve data processing efficiency, and reduce the demand for computing and human resources for verification work. Attached Figure Description

[0033] Figure 1 This is a flowchart of the steps used to verify the consistency between the drawing and the actual situation. Detailed Implementation

[0034] The present invention will be described in detail below with reference to specific embodiments.

[0035] The PMS map-to-real consistency verification method of this application is mainly used to verify whether the parameter data such as the topology network structure in the actual data are consistent with the existing identical data in the system during the process of power grid planning, construction and data analysis, so as to determine whether the topology data information in the database needs to be updated and improved.

[0036] It mainly includes the following steps:

[0037] Step 1. Steps for completing the data import and topology map creation for the distribution network PMS.

[0038] This step is used to obtain existing power grid topology model data to facilitate the construction of the power grid model, obtain the data structure of electrical equipment, and establish the basic data paths of electrical equipment in the power grid model, so as to complete the confirmation and evaluation of node status in subsequent steps. The above process involves the existing PMS service of the power grid, the power grid CIM model, and various cross-sectional data as the basic data of the power grid topology and dispatching system, which can be directly applied.

[0039] The distribution network PMS data includes spatial data, attribute data, and connection relationships of distribution network node devices; the data import includes: importing and parsing CIM data, obtaining CIM model and configuration strategy data; and constructing a network topology diagram G = (V, E).

[0040] The construction of the network topology graph refers to: defining the set V(G) of distribution nodes such as substations, transformers, and switches within the power grid; the edge set E(G) formed by the connecting lines between nodes within the power grid; and defining the substation node set R = (R i ), i = 1, 2, ..., I, where I is the total number of nodes; with node set R = (R i The root node is an internal node. The node connections are searched sequentially until the end node or the network interconnection switch node is reached, resulting in a set T' = (T'...). j ), j = 1, 2...J, where J is the total number of substation nodes; using the network interconnection switch node as the root node, search the remaining nodes to obtain a set T” = (T”) of the second-class topology tree excluding substations. k ), k = 1, 2...K, where K is the total number of network connection switch nodes, resulting in the network topology graph G = (V, E);

[0041] Other: also includes preprocessing steps, including: preprocessing of data in the basic data that is outside a given range or is not related to the actual business data or whose data format does not conform to the standard, and preprocessing of data that does not conform to the actual business logic and specifications;

[0042] Step 2. Steps used to complete the topology map data extraction.

[0043] This step extracts key data and node data, which will be used as comparative analysis data in subsequent map-to-real-world consistency verification. It expresses and outputs the existing topology network structure. In the specific implementation process, the attribute data of each type of node relies on existing PMS and various power grid equipment and node management and monitoring systems for acquisition. A loop formed by the output feeder of a medium-voltage substation is defined as a primary loop, and a closed-loop loop within the same feeder network is defined as a secondary loop. The hierarchical matching specifically includes:

[0044] 2.1 Primary circuit matching specifically refers to matching the circuit based on the distribution network PMS data and network topology G=(V,E), and based on an arbitrary topology tree T'. a Given a ∈ {J+K}, search within the topology tree to see if its root node a is connected to other substation nodes b. If so, extract the first-order edge C between the root node and the substation node. ab Given that a, b ∈ J, we obtain a set of several linear cycles {C} consisting of linear edges. m}, extract any one cycle C m All the switching nodes constitute a primary switching set Based on the data recorded in the distribution network switch log table The normal open / closed states of each switch are determined, and the switches that are normally open constitute a set of normally open switches. Extract from distribution network data Based on the load status data on both sides of the switch, select a switch with balanced load on both sides. Obtain the set of key switches for the primary loop

[0045] 2.2 Secondary circuit matching, specifically refers to matching the distribution network PMS data and network topology diagram G=(V,E) from the topology tree T' a Any node V in α Starting from this point, search for sequentially connected nodes V within the scope of this topology tree. α V α+1 ...if it can eventually return to node V α Then the loop C formed by these nodes n This is called a quadratic circuit, and we obtain the set of quadratic circuits {C}. n};

[0046] Step 3. Steps for establishing the actual topology database

[0047] Specifically, it refers to: obtaining the topological relationships of electrical equipment in the power distribution network based on online identification and online inspection technology, and reconstructing real-time data of topological nodes and their connection attributes;

[0048] Online identification and online inspection technologies, based on methods such as drone online inspection and PMS online identification, can effectively obtain real-time attribute and status data of power grid nodes and equipment. By obtaining real-time power grid information through the above methods, real power grid node and topology connection relationship data can be constructed.

[0049] Step 4. Steps for verifying consistency between drawings and reality

[0050] Specifically, this refers to comparing and verifying the key nodes and their connection relationships determined by the aforementioned topology matching steps based on real-time data, in order to confirm whether the actual situation is consistent with the topology data in the database;

[0051] Specifically, it includes the following steps:

[0052] 4.1. Based on real-time data, the key nodes and their connection relationships determined in the aforementioned topology matching steps are used to obtain a real network topology dataset.

[0053] 4.2. Based on the node sets of each primary loop determined in the preceding steps, verify the node data in the real topology dataset. If the node data matches, proceed to step 4.3; if the node data does not match, then based on the key switch set of that primary loop... Each node in the middle calls step 2.1 to search and update the loop again, until all loops are updated, and then proceeds to step 4.4;

[0054] 4.3. Based on the node sets of each secondary loop determined in the preceding steps, verify the node data in the real topology dataset. If the node data matches, the verification ends; if the node data does not match, proceed to step 4.4.

[0055] 4.4. Call step 2.2 of this section to update the secondary circuit;

[0056] 4.5. End of verification;

[0057] 4.6 Steps for performing topology tree optimization;

[0058] Specifically, this refers to any topological tree T' a For a∈{J+K}, search for an intermediate node e in the topology tree that has one node on each side and is not connected to any load node or power node. Delete node e and the connecting edges on both sides of it. Connect the nodes on the front and back sides of the intermediate node e. Combine the impedance, length and geographic coordinate information of the two deleted connecting edges as the attributes of the newly connected edge.

[0059] 4.7 Steps for performing primary loop optimization

[0060] Specifically, this means searching each node in a primary loop, identifying a central node that is connected to at least three other nodes, and if a node connected to the central node is connected to a feeder line, then the feeder line is removed, and the power distribution attribute of the feeder line is assigned to the node.

[0061] 4.8 Steps for updating after a new device or node is connected

[0062] Steps 4.6 and 4.7 above are optional steps. Specifically, after the basic verification is completed, redundant nodes are removed to simplify the main road network, thereby simplifying the topology graph structure and the total number of nodes, compressing the amount of basic data, and further improving the application effect and efficiency of topology data after the graph-to-real consistency is completed.

[0063] In particular, when new equipment or nodes appear in the power grid, the real-time cross-sectional information of the equipment can be obtained by connecting and disconnecting the new nodes. This information can be compared with the original topology data to verify and update the original topology data, thus enabling effective updating and maintenance of the topology structure.

[0064] Finally, 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 scope of protection of the present invention. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the essence and scope of the technical solutions of the present invention.

Claims

1. A method for verifying the consistency of a PMS image with reality, characterized in that, Includes the following steps: Step 1. Steps for completing the data import and topology map creation for the distribution network PMS. The distribution network PMS data includes spatial data, attribute data, and connection relationships of distribution network node devices; the data import includes: importing and parsing CIM data to obtain CIM model and configuration strategy data; and constructing a network topology diagram. ; The construction of the network topology diagram refers to defining a set of substations, transformers, and switching and distribution nodes within the power grid. The edge set formed by the connecting lines between nodes in the power grid Define the substation node set I represents the total number of nodes; the node set The internal node is the root node. The node connection relationship is obtained by searching sequentially until the end node or the network interconnection switch node is reached, resulting in a set of topologies directly connected to the substation. , Let be the total number of nodes in the substation; using the network interconnection switch node as the root node, search the remaining nodes to obtain a set of binary topology trees excluding substations. K represents the total number of network connection switch nodes, resulting in the network topology diagram. ; Step 2. Steps used to complete the topology map data extraction. Specifically, a circuit consisting of output feeders from a medium-voltage substation is defined as a primary circuit, and a closed-loop circuit within the same feeder network is defined as a secondary circuit. Hierarchical matching is achieved, specifically including: 2.1 Primary circuit matching, which refers to matching based on distribution network PMS data and network topology diagrams. Based on arbitrary topology tree Search for its root node within the scope of this topology tree. Whether it is with other substation nodes If a connection exists, extract the primary edge between the root node and the substation node. This yields a set of several primary circuits consisting of primary edges. Extract any one loop All the switching nodes constitute a primary switching set Based on the data recorded in the distribution network switch log table The normal open / closed states of each switch are determined, and the switches that are normally open constitute a set of normally open switches. Extract from distribution network data Based on the load status data on both sides of the switch, select a switch with balanced load on both sides. The set of key switches for the primary circuit is obtained. 2.2 Secondary circuit matching, specifically refers to matching based on distribution network PMS data and network topology diagram. From the topology tree any node in Starting from this point, search for sequentially connected nodes within the topology tree. If the final return node Then the loop formed by these nodes This is called a quadratic circuit, and we obtain the set of quadratic circuits. ; Step 3. Steps for establishing the actual topology database Specifically, it refers to: obtaining the topological relationships of electrical equipment in the power distribution network based on online identification and online inspection technology, and reconstructing real-time data of topological nodes and their connection attributes; Step 4. Steps for verifying consistency between drawings and reality Specifically, this refers to comparing and verifying the key nodes and their connection relationships determined by the aforementioned hierarchical matching steps based on real-time data, in order to confirm whether the actual situation is consistent with the topology data in the database; Specifically, the process includes the following steps: 4.

1. Obtaining a real topology dataset by performing a full-network topology analysis based on real-time data of the key nodes and their connections determined in the aforementioned hierarchical matching steps; 4.

2. Verifying the node data in the real topology dataset based on the primary loop node sets determined in the aforementioned steps. If the node data matches, proceed to step 4.3; if the node data does not match, then verify the primary loop key switch set. Each node in the middle calls step 2.1 to search and update the primary loop again until all primary loops are updated, then proceed to step 4.4; 4.3, based on the set of secondary loop nodes determined in the previous steps, verify the node data in the real topology dataset. If the node data matches, the verification ends; if the node data does not match, proceed to step 4.4; 4.4, call step 2.2 to update the secondary loop; 4.5, end the verification.

2. The PMS image-real consistency verification method according to claim 1, characterized in that, Step 1 further includes a preprocessing step, including: preprocessing data in the basic data that is outside a given range or is unrelated to actual business data or whose data format does not conform to the standard, and preprocessing data that does not conform to actual business logic and specifications.

3. The PMS image-real consistency verification method according to claim 1, characterized in that, Step 4 also includes a step for topology optimization, specifically including: 4.6, a step for topology tree optimization; Specifically, this refers to any topological tree Search for intermediate nodes within the topology tree that have one node at the front and one at the back and are not connected to any load or power node. Delete node And the connecting edges on both sides, connecting the middle node. The nodes on the front and back sides are combined, and the impedance, length, and geographic coordinate information of the two deleted connection edges are merged as the attributes of the new connection edge; 4.7, the steps for performing primary loop optimization; Specifically, this means searching each node in a primary loop to identify a central node that is connected to at least three other nodes. If a node connected to the central node is connected to a feeder line, the feeder line is removed, and the distribution attributes of the feeder line are assigned to the node.

4. The PMS image-real consistency verification method according to claim 1, characterized in that, The online identification and online inspection technologies in step 3 are based on UAV online inspection and PMS online identification methods.

5. The PMS image-real consistency verification method according to claim 1, characterized in that, It also includes step 5, which involves obtaining real-time cross-sectional information of the new device or node through the access and disconnection of the new node, comparing it with the original topology data, and then verifying and updating the original topology data.

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