Power distribution network line vectorization method and device based on neural network

Abstract

The invention discloses a power distribution network line vectorization method and device based on a neural network, and the method comprises the steps: building a graph model based on the connectionrelation between a transmission line of a power distribution network and electrical equipment; based on the graph model, obtaining an injection feature vector, a line adjacency matrix and an injectionadjacency matrix respectively corresponding to a target transmission line; based on a neural network, performing feature embedding on the injection feature vector and the injection adjacency matrix at nodes of the graph model to obtain a first line feature vector of the target transmission line, wherein the first line feature vector comprises a connection relationship between the target transmission line and the injection; and updating the first line feature vector based on the line adjacency matrix to obtain a second line feature vector of the target transmission line. According to the invention, the feature information of the power distribution network can be accurately represented, so that the data analysis or fault prediction result of the power distribution network is improved.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a neural network-based distribution network line vectorization method and device. Background technique [0002] Smart grid is the development direction of electric power field at present, but it is still in concept and initial stage. The smart grid is built on the basis of an integrated, high-speed two-way communication network. Through the application of advanced sensing and measurement technology, advanced equipment technology, advanced control method and advanced decision support system technology, the reliability and safety of the power grid can be realized. , Economical, efficient, environmentally friendly and safe to use, its main features include self-healing, motivating and protecting users, resisting attacks, providing power quality that meets user needs, and allowing access to various forms of power generation. However, in order to realize some functions of the...

AI Technical Summary

Problems solved by technology

However, in order to realize some functions of the smart grid, such as the connection of power generation, the analysis of transmission risks, and the analysis of power transfer, etc., it is necessary to digitize the distribution network; and some existing distribution network modeling methods are often It is simply a modeling analysis for a specific problem in the distribution network; the obtained digital characteristics of the power grid are difficult to effectively express the overall characteristics of the distribution network, that is, it is difficult to accurately express the characteristic information of the distribution network, so that making it impossible to obtain accurate analysis results

[0003] Therefore, there is still a lack of a data-based method that can accurately represent the characteristics of the distribution network

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