| 引用本文: | 李朝阳,杨健维,王 玘,何正友.基于主元分析的牵引变电所互感器二次量异常故障在线识别方法[J].电力自动化设备,2015,35(8): |
| LI Zhaoyang,YANG Jianwei,WANG Qi,HE Zhengyou.Online identification of secondary measurement abnormality based on PCA for instrument transformers of traction substation[J].Electric Power Automation Equipment,2015,35(8): |
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| 摘要: |
| 在分析牵引变电所内各互感器测量有效值之间存在的相关关系的基础上，提出了基于主元分析（PCA）方法的互感器二次量异常故障在线识别方法。定义了SPE均值及SPE贡献均值分别作为故障检测和识别的指标，在一定程度上消除了利用单个有效值样本得到的识别结果的不确定性。以某实际自耦变压器（AT）牵引变电所作为算例进行仿真验证，仿真结果表明所提方法不需要额外增加测量设备，能够准确地识别出牵引变电所中发生二次量异常故障的互感器，且能够方便地应用于具有不同主接线拓扑结构的牵引变电所。 |
| 关键词: 牵引 牵引变电所 互感器 故障检测 二次量 测量 主元分析 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目（U1234203，U1134104） |
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| Online identification of secondary measurement abnormality based on PCA for instrument transformers of traction substation |
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LI Zhaoyang, YANG Jianwei, WANG Qi, HE Zhengyou
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School of Electrical Engineering，Southwest Jiaotong University，Chengdu 610031，China
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| Abstract: |
| The relationship among the measurements of different instrument transformers in traction substation is analyzed and an online identification method based on the principal component analysis is proposed to detect the secondary measurement abnormality of instrument transformer. The average SPE and average SPE contribution are defined and taken as the fault detection index and identification index respectively，which，to a certain degree，eliminates the uncertainty of the results identified only based on the single measurement sample. With an actual AT traction substation as example，the simulative verification is carried out and results show that，without the additional measuring equipment，the faulty transformer with secondary measurement abnormality can be accurately identified and the proposed method applicable to different primary wiring topologies of traction substation. |
| Key words: electric traction traction substation electric instrument transformers fault detection secondary measurement measurements principal component analysis |
