A method for interactive optimization of distribution network inventory graph data

Abstract

The invention discloses a power distribution network stock graph-module data interaction optimization method. According to the method, firstly, CIM / SVG data of a GIS is parsed, and corresponding complete feeder line data are generated; secondly, the feeder line data are searched for from a power supply point, and a corresponding feeder line path is generated; thirdly, for stock data, searing is conducted on the stock data from the same power supply point in the feeder line path generation step, and a corresponding stock path is generated; fourthly, the feeder line path is compared with the stock path, and the replacement range of the stock data is determined; fifthly, the determined replacement range of the stock data is replaced by the data in the GIS directly. By means of the method, different data focuses of different systems are fully considered, a two-side search plus match method is adopted, the interaction success rate of all the feeder liner data can reach 100% without considering the situation that incorrect data exist in a power grid architecture on one side, and the interaction success rate is increased effectively.

Description

technical field [0001] The invention relates to the field of distribution network data interaction, in particular to an interactive optimization method for distribution network stock graphic model data. Background technique [0002] There are a variety of distributed application subsystems deployed in the power industry, involving power transmission, power distribution, marketing and other links of the power grid. These systems need to be based on the actual power grid structure to form corresponding power grid topology data. For each system, these (topological) graph data are generated using their own graph generation software, and the data structure is also a data format proprietary to each system, so it is impossible to share data between multiple systems, resulting in the same grid in different Separate maintenance is required on the system, resulting in a waste of manpower and time. [0003] In order to solve the above problems, the State Grid Information and Communica...

AI Technical Summary

Problems solved by technology

However, the GIS system does not pay attention to the standard state of the power grid, but only pays attention to the accuracy of the grid topology and graphic data, while the power transmission and distribution system has strict requirements on the standard state of the power grid, and does not pay attention to the attributes of the feeder to which the equipment belongs. However, with Depending on the real-time status of the power grid (switching on and off), the feeder to which the equipment belongs will change, so no matter which method is used, there may be inconsistent ranges on both sides, resulting in interaction failures

Therefore, both approaches have certain limitations

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