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文章摘要
基于模糊熵和离散Fréchet距离的小电流接地系统故障选线方法
Fault line selection method for small current grounding system based on fuzzy entropy and discrete Fréchet distance
Received:May 05, 2020  Revised:May 05, 2020
DOI:10.19753/j.issn1001-1390.2024.03.015
中文关键词: CEEMDAN  峰度  连续均方误差  模糊熵  离散Fréchet距离  故障选线
英文关键词: CEEMDAN, kurtosis, fuzzy entropy, discrete Fréchet distance, fault line section
基金项目:
Author NameAffiliationE-mail
XIAO Yu* School of Electrical Engineering & Automation, Henan Polytechnic University chashui123xy@163.com 
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中文摘要:
      根据故障线路与非故障线路的故障特征,提出一种基于模糊熵和离散Fréchet距离的小电流接地系统故障选线方法。利用完备集合经验模态分解(CEEMDAN)对各线路暂态零序电流进行分解,并根据峰度和连续均方误差选取特征IMF分量。对各线路特征IMF分量求取相关系数,构造相似特征矩阵,判断其是线路故障或是母线故障。若为线路故障,则对各线路特征IMF分量进行模糊信息粒化,将各线路粒化后的三组Low,R,Up分别混合叠加,并求取离散Fréchet距离,结合隶属函数,求取加入复杂影响因子的模糊熵,构造复杂特征矩阵;利用双重特征矩阵进行故障选线。经过大量的仿真分析证明了该选线方法的准确性,同时不受过渡电阻和故障合闸角的影响,且抗噪能力强。
英文摘要:
      According to the fault characteristics of fault line and non-fault line, a method of fault line selection for small current grounding system based on fuzzy entropy and discrete Fréchet distance was proposed in this paper. A complete set of empirical mode decomposition (CEEMDAN) was used to decompose the transient zero-sequence current of each line, and the characteristic IMF component was selected according to kurtosis and continuous mean square error. Then, the correlation analysis of the characteristic IMF component of each line was carried out to construct a similarity characteristic matrix and determine whether it was a line fault or a bus fault. If the fault is a line fault, fuzzy information is granulated on the characteristic IMF components of each line. Then, the three groups of Low, R, and Up after granulation of each line were mixed and superimposed. And the discrete Fréchet distance were calculated, combined with the membership function, the fuzzy entropy with complex influence factors was obtained, and a complex feature matrix was constructed. The fault selection was carried out by using the dual characteristic matrix. After a lot of simulation analysis, it is proved that the accuracy of the proposed fault selection method is not affected by the transition resistance and fault closing angle, and the noise resistance is strong.
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