Power Quality Disturbance Detection and Classification of Hybrid Power System Based on VMD Initialization S-transform

被引：0

作者：

Xu Y. ^{[1
]}

Gao Y. ^{[1
]}

Li Z. ^{[1
]}

Lü M. ^{[2
]}

机构：

[1] China Three Gorges University, College of Electrical Engineering and New Energy, Yichang, 443000, Hubei Province

[2] Department of Electrical and Computer Engineering, Texas A&M University, 77065, TX

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2019年 / 39卷 / 16期

基金：

中国国家自然科学基金;

关键词：

Distribution network; Feature extraction; Power quality; Variational mode decomposition (VMD);

D O I：

10.13334/j.0258-8013.pcsee.181861

中图分类号：

学科分类号：

摘要：

Aiming at the monitor of power quality (PQ) disturbance while the distributed energy (DG) is connected to distribution network, variational mode decomposition (VMD) initialization S transform technology was adopted in this paper to detect and classify the different characteristic PQ disturbances caused by DG types and operation events. Firstly, the features F1 and F2 were extracted from the PQ disturbance signals as the criteria of distributed energy classification for access hybrid power systems; secondly, the features F3-F7 were extracted from the S transformation matrix by VMD initialization as the input of fuzzy c-means (FCM) clustering algorithm, and the PQ caused by the change of operation events under each distributed energy access condition was processed. Meanwhile disturbances were classified. The comparison of percentage accuracy between the proposed method and the existing method was done and it verifies the effectiveness in the proposed algorithm. Finally, the power quality evaluation index was proposed, and the impact factors of PQ under nine types of disturbances were evaluated. © 2019 Chin. Soc. for Elec. Eng.

引用

页码：4786 / 4798

页数：12

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