| 引用本文: | 李晓晨,李天云,陈昌雷.基于固有模态能量熵和支持向量机的输电线路故障选相新方法[J].电力自动化设备,2009,(5): |
| .Faulty phase selection of transmission lines based on intrinsic mode energy entropy and SVM[J].Electric Power Automation Equipment,2009,(5): |
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| 摘要: |
| 提出一种输电线路故障选相新方法,先对线路的三相电压信号进行经验模态分解,得到若干个包含主要故障电压信息的固有模态函数分量,其次选取三相电压的前2个固有模态能量熵作为故障特征向量,将构造的特征向量输入到LS-SVM分类器对输电线路的故障类型进行分类及故障选相.结果表明该方法不受过渡电阻、故障位置和故障初始角等因素的影响,能对高阻接地故障模式进行准确识别,且对噪声具有很好的抑制效果,能准确实现故障分类.仿真分析验证了其有效性. |
| 关键词: 输电线路 故障选相 经验模态分解 固有模态能量熵 |
| DOI： |
| 分类号:TM755 |
| 基金项目: |
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| Faulty phase selection of transmission lines based on intrinsic mode energy entropy and SVM |
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LI Xiaochen1 LI Tianyun2 CHEN Changlei3
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| Abstract: |
| A faulty phase selection method is presented for transmission lines.By empirical mode decomposition,the three-phase voltage signals of lines are decomposed into some IMF(Intrinsic Mode Function) components containing main faulty voltage information.The energy entropies of the first two IMFs are taken as the faulty eigenvectors,which are input into LSSVM(Least Square Support Vector Machine) to classify the faults and then select the faulty phase.The results indicate that the proposed method is not affected b... |
| Key words: LS-SVM |
