引用本文:魏科文,张 靖,何 宇,等.基于VMD和相关性聚类的谐振接地系统单相接地故障选线[J].电力系统保护与控制,2021,49(22):105-113.
WEI Kewen,ZHANG Jing,HE Yu,et al.Single-phase grounding fault line selection in a resonant grounding system based onVMD and correlation clustering[J].Power System Protection and Control,2021,49(22):105-113
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基于VMD和相关性聚类的谐振接地系统单相接地故障选线
魏科文1,张 靖1,何 宇1,刘 影2,姚 刚3,张义坤1
(1.贵州大学电气工程学院,贵州 贵阳 550025;2.贵州电网有限责任公司电网规划研究中心,贵州 贵阳 550001; 3.贵州电网有限责任公司电力调度控制中心,贵州 贵阳 550001)
摘要:
通过分析谐振接地系统的故障暂态零序电流组成及特性,提出了一种基于暂态非工频分量相关性聚类的故障选线方法。首先,将变分模态分解和快速傅里叶变换相结合,准确分离暂态零序电流中的工频分量和噪声信号,得到暂态非工频分量。然后,采用局部加权回归算法对各出线的非工频分量进行平滑处理,获得线路非工频分量的整体趋势,计算各出线的相关系数矩阵。最后,通过免阈值设定的K-means聚类算法实现故障选线。仿真结果表明,所提出的选线方法能够准确选取故障线路,选线结果不受故障电阻、故障初相角等因素的影响,且具有较好的抗噪能力。
关键词:  谐振接地系统  故障选线  变分模态分解  非工频分量  聚类分析
DOI:DOI: 10.19783/j.cnki.pspc.210081
分类号:
基金项目:国家自然科学基金项目资助(51867005);贵州省科技计划项目资助([2018]5615)
Single-phase grounding fault line selection in a resonant grounding system based onVMD and correlation clustering
WEI Kewen1, ZHANG Jing1, HE Yu1, LIU Ying2, YAO Gang3, ZHANG Yikun1
(1. College of Electrical Engineering, Guizhou University, Guiyang 550025, China; 2. Power Grid Planning and Research Center of Guizhou Power Grid Co., Ltd., Guiyang 550001, China; 3. Dispatching and Control Center, Guizhou Power Grid Co., Ltd., Guiyang 550001, China)
Abstract:
By analyzing the composition and characteristics of fault transient zero sequence current in a resonant grounding system, a fault line selection method based on correlation clustering of transient non-power frequency components is proposed. First, the power frequency component and noise signal in the transient zero sequence current are separated accurately by combining the variational mode decomposition with the fast Fourier transform, and the transient non-power frequency component is obtained. Then, a local weighted regression algorithm is used to smooth the non-power frequency component of each outgoing line to obtain the overall trend of the line non-power frequency component, and calculate the correlation coefficient matrix of each outgoing line. Finally, the fault line selection is realized by a K-means clustering algorithm without threshold setting. The simulation results show that the fault line selection method proposed can accurately select the fault line, and the fault line selection result is not affected by fault resistance, fault initial phase angle and other factors, and has good anti noise ability. This work is supported by the National Natural Science Foundation of China (No. 51867005) and the Science and Technology Plan of Guizhou Province (No. [2018]5615).
Key words:  resonant grounding system  faulty feeder detection  variational mode decomposition  non-fundamental frequency component  cluster analysis
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