分类支持向量机在小电流接地选线中的应用  

Support Vector Machine for Classification and its Application to the Ground Fault line Detection in Peterson-Coil-Grounding System

作　　者：郭彦东[1] 李荣[1] 

机构地区：[1]阿城继电器股份有限公司哈尔滨瑞雷电气科技发展有限责任公司,黑龙江哈尔滨150090

出　　处：《自动化技术与应用》2008年第9期77-79,共3页Techniques of Automation and Applications

摘　　要：小电流接地系统发生单相接地故障时,各种电气量表现出不同于正常工况时的特征,可根据各种电气量的特征对系统运行状况进行模式识别,文中利用分类支持向量机对小电流接地系统运行状况进行模式识别,以确定接地故障线路或母线。测试结果表明,该方法有效、准确,具有一定的实用价值。In Peterson-coil-grounding system （PCGS）, the electric parameters in grounding fault have different electric characteristics, and the working situation of PCGS can be recognized by electric parameters of system. In this paper, support vector machines for classification （SVMC）are used to recognize the working situation of PCGS and to detect the fault line or bus. Simulation results are also given.

关 键 词：电力系统 接地选线 分类支持向量机 模式识别 

分 类 号：TM77[电气工程—电力系统及自动化]