Method for automatic drawing and mapping of network frame graph of distribution network

Abstract

The invention relates to a method for automatic drawing and mapping of a network frame graph of a distribution network. The method comprises the following steps of initializing network frame connection information, identifying an equipment dictionary table in a network, determining the type of distribution network equipment and the number of connection points of distribution network circuits, and grouping network frames of different network numbers; carding the distribution network equipment and the distribution network circuits of each distribution network to form a node-branch incidence matrix; randomly determining coordinate values of a position array of equipment nodes according to the connection relation between the nodes; computing repulsion and attraction between the nodes; judging whether the total energy of the distribution network and the number of iterations exceed thresholds, and carrying out orthogonalization on the circuits between the nodes; and adjusting the crossed circuits, determining a cross-line position, re-determining the coordinate values of the position array of the equipment nodes and storing the coordinate values. The method is responsible for drawing a topology of an orthogonal graph of the network frames of the distribution network based on a force-directed algorithm through the connection information of the circuits in a database, the aesthetics and the consistency of the drawn graph are guaranteed, and the graphical rapid mapping of high-dimensional topological data is realized.

Description

technical field [0001] The invention relates to an automatic mapping method for a large-scale complex distribution network grid diagram, in particular to an automatic drawing and mapping method for a distribution network grid diagram. Background technique [0002] With the large-scale construction of distribution automation and smart grid, the information exchange of various graphs distributed in distribution automation system, geographic information system, PMS system, energy management system and advanced application system is more frequent. The data source of the system is the import of geographic information system and energy system. The geographic information system is responsible for the import of low-voltage (10kV and below line import) lines, and the energy management system is responsible for the import of high-voltage (110kV, 220k, etc.) distribution network diagrams. The distribution network line graph lacks a unified exchange channel, and it is difficult to achie...

AI Technical Summary

Problems solved by technology

[0002] With the large-scale construction of distribution automation and smart grid, the information exchange of various graphs distributed in distribution automation system, geographic information system, PMS system, energy management system and advanced application system is more frequent. The data source of the system is the import of geographic information system and energy system. The geographic information system is responsible for the import of low-voltage (10kV and below line import) lines, and the energy management system is responsible for the import of high-voltage (110kV, 220k, etc.) distribution network diagrams. Distribution network line graphics lack a unified exchange channel, and it is difficult to achieve high consistency in importing and exporting topology models, distribution network line equipment, and graphic element layouts between systems, and cannot realize instant guide and use

Or when directly imported, the graphics are not beautiful enough to meet the drawing standards required in the distribution network system

The power supply company specially arranges a large number of personnel to participate in the drawing and modification of the diagram. Various distribution network drawing tools or diagram maintenance tools provide data interfaces and graphics drawing platforms for various application systems, effectively improving the basic data entry and maintenance of the distribution network. However, the operation of the graphic model maintenance tool is complicated and the learning cost is high. The specific drawing process involves multiple processes such as drawing, inspection, approval, and verification. The workload of graphic model maintenance is huge, and it is not easy to modify when errors occur. and topological errors are hard to spot when

At the same time, due to the rapid construction and changes of the distribution network, the maintenance speed of the graph is often lagging behind, which cannot meet the specific applications on the project site, cannot guarantee the accuracy of distribution automation dispatching control, and is even more difficult to provide scientific solutions for advanced applications such as upper-level simulation and planning. Grid support, affecting the visualization effect

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