基于粒子群算法的智能配电网故障定位技术分析

Analysis of Intelligent Distribution Network Fault Location Technology Based on Particle Swarm Optimization

当智能配电网中发生了故障后,快速准确地对智能配电网中的故障位置进行定位,有利于快速隔离故障并采取措施恢复配电系统的正常供电,对于提高配电系统的供电可靠性也较为重要。随着粒子群等人工智能算法的发展和应用经验的积累,可以在智能配电网故障定位中采用粒子群算法,来快速实现智能配电网的故障定位。本文分析了粒子群算法的智能配电网故障定位技术原理,并进行相关的案例分析,对于提高智能配电网运维过程中的智能化技术水平具有一定的价值。

When a fault occurs in the intelligent distribution network,quickly and accurately locate the fault location in the intelligent distribution network,it is conducive to quickly isolate faults and take measures to restore the normal power supply of the distribution system,it is also important to improve the power supply reliability of distribution system.With the development of artificial intelligence algorithms such as particle swarm optimization and the accumulation of application experience,particle swarm optimization algorithm can be used in intelligent distribution network fault location to quickly realize the fault location of intelligent distribution network.This paper analyzes the principle of intelligent distribution network fault location technology based on particle swarm optimization algorithm,and conduct relevant case analysis,it has certain value for improving the intelligent technology level in the process of intelligent distribution network operation and maintenance.