Distribution Network Fault Location Method Based on Hierarchical Model and Improved Gray Wolf Optimization Algorithm

Abstract

The invention relates to a distribution network fault location method based on a hierarchical model and an improved gray wolf optimization algorithm. First, the invention constructs a switch function that can adapt to the access of multiple distributed power sources under the premise of determining the coding rules. Then, according to the characteristics of the switching function value after the fault occurs, the hierarchical model of the distribution network is established, and the corresponding evaluation function is established accordingly. Aiming at the slow convergence speed of the gray wolf optimization algorithm, combined with the fault location model, the crossover and mutation operations are introduced into the position update formula of the basic binary gray wolf optimization algorithm, which improves the convergence speed and optimization accuracy of the algorithm. Finally, the establishment of the hierarchical model and the improved gray wolf optimization algorithm are applied to the location of the fault section of the distribution network with distributed generation. The hierarchical model and the improved gray wolf algorithm adopted by the present invention can quickly and accurately realize the location of the distribution network fault section, and has certain fault tolerance, and is suitable for the fault location of the complex distribution network containing distributed power sources.

Description

technical field [0001] The invention relates to the technical field of distribution networks with 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 been relatively mature. However, in recent years, with the large number of new distributed power sources such as solar energy and wind energy connected to the distribution network, the traditional single power source radiation network has become a complex multi-power source network, and the traditional fault location method is no longer applicable.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 production ...

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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