Identification of inrush current based on variational modal decomposition under a high proportion of distributed generation

被引:0
作者
Chen, Chun [1 ]
Cao, Bozhong [1 ]
Cao, Yijia [1 ]
Wang, Weiyu [1 ]
Xu, Xianyong [2 ]
An, Yi [3 ]
机构
[1] State Key Laboratory of Disaster Prevention & Reduction for Power Grid, Changsha University of Science and Technology, Changsha
[2] State Grid Hunan Electric Power Company Research Institute, Changsha
[3] State Grid Jiangxi Electric Power Research Institute, Nanchang
来源
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2024年 / 52卷 / 20期
关键词
distributed generation; inrush current; variance contribution rate; variational mode decomposition;
D O I
10.19783/j.cnki.pspc.231639
中图分类号
学科分类号
摘要
Because of the high penetration of distributed generation (DG), the operation of DG is complex and nonlinear, and the harmonic characteristics of fault current are significant. This makes it difficult for traditional relay protection to accurately distinguish between inrush and fault current. Therefore, this paper first analyzes the expression of harmonics generated by photovoltaics and a doubly-fed wind turbine, deduces the generation mechanism of inrush current and harmonic characteristics, and summarizes the proportion of each frequency component of inrush and short-circuit current. Taking full advantage of variational mode decomposition (VMD) to avoid mode aliasing, the fault current is decomposed into different central frequency modes using the VMD algorithm, and the magnetizing inrush current is identified by comparing the variance contribution of different modes. The simulation results show that the proposed identification method can accurately identify the fault in conditions of different fault types, types of distributed generation and switching angles, and the identification can be completed within one cycle of the fault with high sensitivity. © 2024 Power System Protection and Control Press. All rights reserved.
引用
收藏
页码:94 / 104
页数:10
相关论文
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