基于混沌粒子群算法的接地网腐蚀故障诊断  

Corrosion Fault Diagnosis for Grounding Grids Based on Chaos Particle Swarm Optimization

作　　者：范小楷[1] 张友鹏[1] 张耀[1] 王思华[1] 

机构地区：[1]兰州交通大学自动化与电气工程学院,兰州730070

出　　处：《计算机测量与控制》2013年第3期617-619,622,共4页Computer Measurement &Control

基　　金：铁道部科技研究开发计划课题(2011J016-C);高校基本科研业务费(212099)

摘　　要：为了提高接地网腐蚀故障诊断的精度和效率,提出基于混沌粒子群算法的分块诊断方法;根据节点撕裂法将接地网分成若干个子网络和自由支路,建立分块多目标优化模型,并采用混沌粒子群优化算法对诊断模型进行求解;利用MATLAB对算例进行仿真计算得到的诊断结果与实际故障倍数差都在±0.5之间,能够有效地判断出接地网腐蚀故障的情况,是一种可行的牵引变电所接地网腐蚀故障诊断方法。In order to improve the efficiency and accuracy of corrosion fault diagnosis for grounding grid, the method of blocking diagnosis based on chaos particle swarm optimization is proposed. The grounding grids are torn up into some blocks and a set of independent branches by node--tearing, and the blocking multi--objective optimization model is established. Then chaos particle swarm optimization is proposed to solve the model. The simulation of an example show that the results of chaos particle swarm optimization compared with the actual fault mul- tiples are in the range of ±0.5, and diagnosis the corrosion fault status of the grounding grid effectively. It＇s a feasible method of grounding grid＇s corrosion fault diagnosis method for traction substation.

关 键 词：接地网 腐蚀诊断 多目标优化 混沌粒子群优化 

分 类 号：TM86[电气工程—高电压与绝缘技术]