Grid fault diagnosis method and system based on graph Fourier transform

Abstract

The invention discloses a power grid fault diagnosis method and system based on graph Fourier transform, relates to the field of power grid fault diagnosis, and solves the problems that an existing diagnosis method is insufficient in diagnosis precision and poor in fault tolerance. Constructing an original graph model according to the recording starting data; transforming edges of the original graph model to construct a conflict graph model; calculating node signals and edge weights of the conflict graph model; calculating a global variance of the conflict graph model according to the node signal and the edge weight; calculating a feature vector and a graph Fourier transform coefficient of the conflict graph model by adopting graph Fourier transform; calculating the importance value of each branch in the conflict graph model according to the node signal, the feature vector and the graph Fourier coefficient; the branch with the maximum importance value is diagnosed as a fault branch; according to the invention, the rapid diagnosis of the power grid fault can be realized only by using the recording starting information, and the method has the advantages of strong practicability, high fault identification precision and good fault tolerance.

Description

technical field [0001] The invention relates to the field of power grid fault diagnosis, and more particularly, to a power grid fault diagnosis method and system based on graph Fourier transform. Background technique [0002] The diagnosis system based on the fault recorder information mainly collects through the protection and fault information management master station, and obtains the recorder information sent by the fault recorder and protection device of each plant station through the fault information substation when the fault occurs. [0003] Existing power grid fault diagnosis methods based on wave recording startup information, such as degree-based node importance algorithm, mainly consider the influence of node location; path-based node importance algorithm mainly considers the importance of paths between nodes, such as pagerank of web page ranking. and other algorithms; for the path-based node importance algorithm, the essence is to diagnose and analyze the branch...

AI Technical Summary

Problems solved by technology

[0004] The present invention solves the problems of insufficient diagnostic accuracy and poor fault tolerance of existing diagnostic methods, and aims to provide a grid fault diagnosis method and system based on graph Fourier transform, and construct an original graph model based on grid-based wave recording start-up data , based on the original graph model to construct the start-up sensitivity graph signal of the conflict graph model, calculate the global variance according to the conflict graph model start-up sensitivity graph signal, and judge whether the power grid has a fault and identify the fault type according to the global variance. Further, use the graph Fourier transform Calculate the eigenvector and graph Fourier transform coefficient of the conflict graph model, and use the feature that the fault branch contributes the most to the high-frequency part of the graph Fourier transform coefficient to calculate the importance value of each branch of the power grid to identify the power grid For branch circuits of line or transformer faults, the invention can quickly diagnose power grid faults only by using wave recording start information, so it has strong practicability, high diagnostic accuracy and good fault tolerance

Images