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采用形态学峰谷检测的谐振接地系统故障选线方法

束洪春 黄海燕 田鑫萃 董俊 黄然

电力系统自动化2019,Vol.43Issue(1):228-233,6.
电力系统自动化2019,Vol.43Issue(1):228-233,6.DOI:10.7500/AEPS20180506005

采用形态学峰谷检测的谐振接地系统故障选线方法

Fault Line Selection in Resonant Earthed System Based on Morphological Peak-Valley Detection

束洪春 1黄海燕 1田鑫萃 1董俊 2黄然3

作者信息

  • 1. 昆明理工大学电力工程学院, 云南省昆明市 650500
  • 2. 哈尔滨工业大学电气工程及自动化学院, 黑龙江省哈尔滨市 150001
  • 3. 云南电网有限责任公司电力科学研究院, 云南省昆明市 650217
  • 折叠

摘要

Abstract

Transient electrical quantity information is very abundant when single-phase grounding fault occurs in resonant earthed system.The short window data of 1/4 period of zero sequence current fault of each line are transformed by wavelet transform.The frequency band of power frequency is eliminated and the feature frequency band is selected according to the principle of maximum energy sum.The reconstructed wavelet coefficients under the feature frequency band are checked by morphological peak-valley detection.The peak-valley characteristic of the fault feeder is opposite to that of the total feeders, which is used as the fault line selection criterion.The simulation analysis and practical verification demonstrate the feasibility and effectivity of this method.

关键词

谐振接地系统/故障选线/暂态分量/峰谷检测/数学形态学/特征频带

Key words

resonant earthed system/fault line selection/transient component/peak-valley detection/mathematical morphology/feature band

引用本文复制引用

束洪春,黄海燕,田鑫萃,董俊,黄然..采用形态学峰谷检测的谐振接地系统故障选线方法[J].电力系统自动化,2019,43(1):228-233,6.

基金项目

国家自然科学基金资助项目(51667010) This work is supported by National Natural Science Foundation of China (No. 51667010). (51667010)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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