摘要
故障选相元件是高压输电线路继电保护和单相重合闸的重要组成部分,基于SVM(支持向量机)提出了一种输电线路故障选相新方法。通过提取故障时各序基波电流、电压的信号特征量,结合LS-SVM(最小二乘支持向量机),将其应用到选相过程中暂态信号的训练和分类上,先将特征量送到SVC(支持向量分类)函数中计算出SVM的参数值后,送到train(训练)函数中进行训练,最后通过sim(测试)函数输出+1或-1进行分类。通过仿真表明,该方法具有选相准确和不受接地电阻、故障位置的影响的特点。
Fault-phase components are important parts of high-voltage transmission lines protection and single-phase reclosing, a method of transmission line fault phase selection based on SVM is proposed. By extracting the signal characteristics of fault sequence fundamental current and voltage, combining with LS-SVM, it is applied to the process of phase-selection about the training and classification of transient signal. Firstly characteristics is moved to SVC function to calculate the parameters of SVM values, sent to the training function to train, finally through sim function output ＋1 or -1 to classify. Through the simulation, the method has the feature of phase selection accurately and doesn＇t be influenced by grounding resistance and fault location.
出处
《电子设计工程》
2011年第18期14-17,共4页
Electronic Design Engineering
关键词
SVM
输电线路
故障选相
序分量
SVM
transmission line
fault phase
sequence component
