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结合EMD-WVD和布谷鸟搜索算法的输电线路故障暂态保护

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成果类型:
期刊论文
论文标题(英文):
Transient Protection for Transmission Line Fault Combining Empirical Mode Decomposition-Wigner Ville Distribution and Cuckoo Search Algorithm
作者:
穆利智;李泽文;吕佳佳;胡开庚;刘基典;...
通讯作者:
Li, Zewen(lzw0917@163.com)
作者机构:
[穆利智; 李泽文; 吕佳佳; 刘基典] School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha
410114, China
Foshan Electric Power Corporation, Foshan
528000, China
[胡开庚] State Grid Jining Electric Power Corporation, Jining
通讯机构:
[Li, Z.] S
School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China
语种:
中文
关键词:
暂态保护;经验模态分解;维格纳威尔分布;布谷鸟搜索算法
关键词(英文):
Cuckoo search (CS) algorithm;Empirical mode decomposition (EMD);Transient protection;Wigner-Ville distribution (WVD)
期刊:
电力系统自动化
ISSN:
1000-1026
年:
2020
卷:
44
期:
16
页码:
137-144
基金类别:
This work is supported by National Natural Science Foundation of China (No. 51877012), Double-level Key Projects of Department of Education in Hunan Province (No. 18A121), and Hunan Provincial Innovation Foundation for Postgraduate (No. CX2018B557). Key words: transient protection; empirical mode decomposition (EMD); Wigner-Ville distribution (WVD); cuckoo search (CS)
机构署名:
本校为第一且通讯机构
院系归属:
电气与信息工程学院
摘要:
为促进基于波形唯一性暂态保护原理的实用化,提出了一种结合经验模态分解-维格纳威尔分布(EMD-WVD)和布谷鸟搜索算法的输电线路暂态保护方法。该方法利用EMD处理故障暂态信号,得到不同频段的单分量信号;采用波形相关性系数对各单分量信号分别与原暂态信号进行相似度计算,筛选真实暂态信号分量。然后,对真分量分别求WVD,并将所有真分量的WVD进行线性叠加获得的能量谱密度图与故障样本库中的能量谱密度图不断迭代匹配计算相似度,依据相似度判别区内外故障,实现输电线路故障快速可靠保护。仿真结果表明,EMD-WVD方法能有效提高故障暂态波形分析的准确度,布谷鸟搜索算法能有效提高波形匹配速度,两者结...
摘要(英文):
In order to promote the practicality of the transient protection principle based on waveform uniqueness, this paper proposes a transient protection method for transmission lines combining empirical mode decomposition-Wigner Ville distribution (EMD-WVD) and cuckoo search (CS) algorithm. This method uses EMD to process fault transient signals to obtain single-component signals in different frequency bands. Waveform correlation coefficients are used to calculate the similarity between each single-component signal and the original transient signal ...

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