基于改进暂态相关分析和支持向量机的电弧故障选线研究.pdfVIP

第44 卷 第24 期 电力系统保护与控制 Vol.44 No.24 2016 年12月16 日 Power System Protection and Control Dec. 16, 2016 DOI: 10.7667/PSPC152143 基于改进暂态相关分析和支持向量机的电弧故障选线研究 陈 奎，陈博博 (中国矿业大学信息与电气工程学院，江苏 徐州 221008) 摘要：提出了一种综合电弧模型。并针对电弧接地情况复杂的特点，提出了一种暂态零序电流和两相电流差特征 和支持向量机(SVM)相结合的配电网单相电弧故障时的选线方法。研究暂态零序电流和故障相与非故障相两相电 流差的关系，将其用小波分析方法变换到特征频带(625~1 250 Hz) 内进行相关分析。将得到的各馈线的相关系数作 为特征输入量，结合支持向量机(SVM)分类算法，建立了针对配电网单相接地电弧故障的选线流程。在EMTP 中 仿真，并经Matlab 中进行数据处理后。结果表明，该方法对于不同中性点接地方式、不同距离、不同故障时刻发 生的电弧故障,均能正确地选出故障线路。 关键词：小电流接地系统；电弧模型；小波分析；特征频带；支持向量机；故障选线 Research on arc fault line selection based on improved transient correlation analysis and support vector machine CHEN Kui, CHEN Bobo (School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China) Abstract: A comprehensive arc model is presented. On account of the complex characteristics of arc grounding, a new method of the fault line selection based on the characteristics of transient zero sequence current and the difference of two-phase current with support vector machine (SVM) is proposed. Besides, the relation between transient zero sequence current and the D-value of fault phase and non-fault phase is studied. Then the wavelet analysis is used to transform the signal into the feature band (625~1250Hz) within the correlation analysis. The correlation coefficients of each feeder can be used as the inputs of SVM classification algorithm, and the line selection process of single phase arc-grounding fault is established. Simulation are performed in the EMTP, the data is processed by Matlab. The results show that this method can correctly select the fa