基于粒子群算法的配电网输电线路故障诊断与定位系统

Jia Qin, Hongbo Chu, Daquan Yu
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引用次数: 0

摘要

本文将粒子群优化算法(PSO)应用于配电网主动故障定位。然而,粒子群算法存在着第一个缺陷。因此,本文提出了一种基于Taurus晶须搜索算法的改进粒子群算法。首先,采用天牛须搜索算法提高粒子群优化的初始种群质量;其次,建立了配电网主动故障定位的相关数学模型。最后,基于ieee33总线配电网模型,进行了单故障、多故障和信息误报的仿真实验。实验结果表明,该算法能够快速准确地定位故障区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transmission Line Fault Diagnosis and Location System in Distribution Network Based on PSO
In this paper, Particle Swarm optimization (PSO) algorithm is used for active distribution network fault location. However, the PSO algorithm has the first defect. Therefore, this paper proposes an improved PSO algorithm based on the Taurus whisker search algorithm. Firstly, the algorithm uses the longicorn whisker search algorithm to improve the initial population quality of particle swarm optimization; Secondly, the relevant mathematical model of active distribution network fault location is established. Finally, based on the IEEE33-bus distribution network model, simulation experiments are carried out for single fault, multiple fault and information misinformation. The experimental results show that the BPSO algorithm can quickly and accurately locate the fault section.
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