Power distribution network fault positioning method based on hierarchical model and improved grey wolf optimization algorithm

Abstract

The invention relates to a power distribution network fault positioning method based on a hierarchical model and an improved grey wolf optimization algorithm, wherein the method comprises the steps: firstly constructing a switching function which can adapt to the access of a plurality of distributed power supplies on the premise of determining a coding rule; establishing a hierarchical model of the power distribution network according to the characteristics of a switching function value after a fault occurs, and establishing a corresponding evaluation function according to the hierarchical model; and for solving the problem that the grey wolf optimization algorithm is slow in convergence speed, in combination with the fault positioning model, introducing crossover and mutation operations into a basic binary grey wolf optimization algorithm position updating formula, so that the convergence speed and the optimization precision of the algorithm are improved; finally, applying the established hierarchical model and the improved grey wolf optimization algorithm to the fault section positioning of the power distribution network containing the distributed power supply. The hierarchical model and the improved grey wolf algorithm adopted by the invention can quickly and accurately realize fault section positioning of the power distribution network, have certain fault tolerance, and aresuitable for fault positioning of the complex power distribution network containing the distributed power supply.

Description

Technical field [0001] The invention relates to the technical field of distribution networks containing distributed power sources, in particular to a distribution network fault location method based on a hierarchical model and an improved gray wolf optimization algorithm. Background technique [0002] The power supply reliability of the distribution network has been continuously improved with the development of the smart grid, and the fault location research applied to the traditional distribution network has also been relatively mature. However, in recent years, as a large number of new distributed power sources such as solar and wind energy have been connected to the distribution network, the traditional single-source radiation network has become a complex multi-power source network, and the traditional fault section location method is no longer applicable. [0003] In order to ensure the reliability of the distribution network and minimize the impact of line faults on the produc...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the traditional fault location method is no longer applicable after distributed power sources are widely connected to the distribution network, and to provide a distribution network fault location method based on a hierarchical model and an improved gray wolf optimization algorithm. The establishment of the hierarchical model and the application of the improved gray wolf algorithm can quickly and accurately realize the location of the distribution network fault section

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