基于小波奇异熵的电力系统振荡中对称故障的识别算法

肖贤贵; 高亮; 屠友强; 刘天明

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DOI:10.3969/j.issn.1006-4729.2016.02.011

Journal of ShangHai University of Electric Power :2016,32(2):156-161

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基于小波奇异熵的电力系统振荡中对称故障的识别算法

肖贤贵¹, 高亮¹, 屠友强², 刘天明¹

(1.上海电力学院电气工程学院;2.上海申能临港燃机发电有限公司运行部)

A Novel Approach to Detect Symmetrical Faults During Power Swing by Wavelet Singularity Entropy

XIAO Xiangui¹, GAO Liang¹, TU Youqiang², LIU Tianming¹

(1.School of Electrical Engineering, Shanghai University of Electrical Power, Shanghai 200090, China;2.Operation Dept., Shanghai Shenneng Lingang CCGT Power Generation Co., Ltd., Shanghai 201306, China)

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Received:October 14, 2015

中文摘要: 运用小波分析处理各相故障电流波形,并求各相电流的小波奇异熵的算法,与设定的阈值比较大小以判定是否为故障.在Matlab/Simulink下建立了一个电力系统模型,分别考虑了合闸时刻、过渡电阻、接地距离、振荡频率、噪声等多种因素后,做了大量仿真分析.得出了该算法鲁棒性好,具有干扰因素影响的特点.

中文关键词: 小波奇异熵电力系统振荡对称故障

Abstract:A novel algorithm is presented based on wavelet singularity entropy to analyze the current wave after fault occurring.Then each phase current wave is computed.A simulation model is built and simulated in MATLAB/SIMULINK environment.Besides,interference factors such as inception time,ground resistance,fault location,slip frequency and noise are also discussed comprehensively.It is concluded that the algorithm is immune to interference factors and the proposed scheme is robust.

keywords: wavelet singularity entropy power swing symmetrical fault

文章编号：20160211 中图分类号： 文献标志码：

基金项目:上海绿色能源并网工程研究中心资助项目(13DZ2251900).

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Author Name	Affiliation	E-mail
XIAO Xiangui	School of Electrical Engineering, Shanghai University of Electrical Power, Shanghai 200090, China	634881135@qq.com
GAO Liang	School of Electrical Engineering, Shanghai University of Electrical Power, Shanghai 200090, China
TU Youqiang	Operation Dept., Shanghai Shenneng Lingang CCGT Power Generation Co., Ltd., Shanghai 201306, China
LIU Tianming	School of Electrical Engineering, Shanghai University of Electrical Power, Shanghai 200090, China