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基于改进遗传算法的配电网故障诊断

Fault Diagnosis of Distribution Network Based on Genetic Algorithm

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【作者】 杨伟刘娅琳吴军基

【Author】 YANG Wei~1,LIU Ya-lin~2,WU Jun-ji~1 (1.Nanjing University of Science and Technology,Nanjing ,210094,China; 2. Nari Technology Development Limited Company,Nanjing,210003,China)

【机构】 南京理工大学动力学院国电南瑞科技股份有限公司南京理工大学动力学院 江苏南京 210094江苏南京 210003江苏南京 210094

【摘要】 针对传统配电网故障诊断系统的不足,提出基于改进GA的配电网故障诊断方法.提出节点表示配电网络的模型描述方法,将配电网基本组成元件归纳为进线断路器、开关和线路3类.在实现拓扑分区的基础上,深入研究适应度函数和遗传算子及参数等的改进.仿真实验表明该方法的有效性和高容错性.

【Abstract】 In order to get rid of the disadvantages of traditional fault diagnosis method, a fault diagnosis program for distribution network based on improved genetic algorithm is presented.A distribution network configurations through node-denoted network method has been advanced. Then network components have been classified into three types: incoming circuit breakers, switches and lines. Using network topology partition results,the improvement of fitness function, GA operators,parameters and so on has been researched. The results of simulation test show this algorithm has high efficiency and fault-tolerance.

  • 【文献出处】 长沙电力学院学报(自然科学版) ,Journal of Changsha University of Electric Power(Natural Science) , 编辑部邮箱 ,2005年01期
  • 【分类号】TM711
  • 【被引频次】45
  • 【下载频次】485
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