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投稿时间：2015-10-14
投稿时间：2015-10-14
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.
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.
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).
| 作者 | 单位 | |
| 肖贤贵 | 上海电力学院 电气工程学院 | 634881135@qq.com |
| 高亮 | 上海电力学院 电气工程学院 | |
| 屠友强 | 上海申能临港燃机发电有限公司 运行部 | |
| 刘天明 | 上海电力学院 电气工程学院 |
引用文本：
肖贤贵,高亮,屠友强,等.基于小波奇异熵的电力系统振荡中对称故障的识别算法[J].上海电力大学学报,2016,32(2):156-161.
XIAO Xiangui,GAO Liang,TU Youqiang,et al.A Novel Approach to Detect Symmetrical Faults During Power Swing by Wavelet Singularity Entropy[J].Journal of Shanghai University of Electric Power,2016,32(2):156-161.
肖贤贵,高亮,屠友强,等.基于小波奇异熵的电力系统振荡中对称故障的识别算法[J].上海电力大学学报,2016,32(2):156-161.
XIAO Xiangui,GAO Liang,TU Youqiang,et al.A Novel Approach to Detect Symmetrical Faults During Power Swing by Wavelet Singularity Entropy[J].Journal of Shanghai University of Electric Power,2016,32(2):156-161.