Power distribution network fault positioning method based on improvement of binary particle swarm algorithm

Abstract

The invention provides a power distribution network fault positioning method based on improvement of a binary particle swarm algorithm, the conventional binary particle swarm algorithm is improved, and the method is applied to positioning of power distribution network faults. The method comprises following steps: firstly, determining parameters including the particle swarm scale and the maximum iteration frequency etc.; then forming an expectation function of a switch according to fault information of the switch, and constructing a fitness function of power distribution network fault positioning; initializing a particle swarm, setting particle positions, and setting the speed of the particles as 0; calculating the fitness values of the particles according to the fitness function, and setting an initial global extremum; updating an individual extremum and the initial global extremum; updating the speed and position of the particle swarm; and stopping calculation when reaching the maximum iteration frequency, and outputting the global optimal position of the particle swarm, namely the practical fault state of each feed line section of a target power distribution network. According to the method, the problem of premature convergence of the conventional method can be overcome, and the convergence and the stability of the algorithm can be further improved.

Description

technical field [0001] The invention relates to a distribution network fault location method, in particular to a distribution network fault location method based on a binary particle swarm algorithm. Background technique [0002] Distribution network fault location is one of the key contents of distribution automation. Its main principle is to comprehensively analyze the fault information reported by each remote feeder terminal (FTU) to determine the fault section and provide power supply after the fault. Restoration offers conditions. Therefore, the distribution network fault location is of great significance to shorten the power outage time, reduce the power outage scope and improve the power supply reliability of the distribution network. [0003] At present, distribution network fault methods can be divided into matrix method and artificial intelligence method. The matrix method is based on the operation of the network structure matrix and the fault information matrix t...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the problem of premature convergence of the above algorithm and further improve the convergence of the algorithm, the present invention adopts a distribution network fault location method based on the improved binary particle swarm optimization algorithm, which can overcome the premature convergence problem of the traditional algorithm and further improve the The convergence and stability of the algorithm

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