基于遗传算法的配电网故障定位  

Fault Location of Distribution Network Based on Genetic Algorithm

作　　者：郭壮志[1] 陈波[1] 刘灿萍[1] 许奎[1] 李剑峰[1] 

机构地区：[1]广西大学电气工程学院,广西壮族自治区南宁市530004

出　　处：《电网技术》2007年第11期88-92,共5页Power System Technology

摘　　要：将一个多变量等式约束条件隐含于开关函数中,基于遗传算法建立了改进的配电网故障定位数学模型。根据故障诊断理论中最小集的概念建立了环网开环运行配电网的故障定位统一数学模型,并运用广义分级的处理思想提高了运用该模型进行配电网故障定位时的效率。仿真实验验证了上述模型的正确性和有效性及该故障定位算法在配电网故障定位中的准确性和高容错性。Implying a multivariate equality constraint in switching function, a genetic algorithm （GA） based improved mathematical model for fault location of distribution network is built. According to the concept of minimal set in fault diagnosis theory, a unified mathematical model for fault location of distribution network under open-loop operating mode is established; by means of the thinking of generalized graduation processing, the efficiency of fault location of distribution network is improved while above-mentioned mathematical model is adopted. The correctness and effectiveness of the GA based improved mathematical model as well as the accuracy and tolerant performance of corresponding fault location algorithm are verified by simulation results.

关 键 词：遗传算法(GA) 适应度函数 等式约束 配电网 故障定位 

分 类 号：TM72[电气工程—电力系统及自动化]