期刊论文

Novel Approach for Line Selection in Distribution Network Based on Correlation and Complementarity of Data

中文

电力系统及其自动化学报

1003-8930

2018

30

10

15-20

10.3969/j.issn.1003-8930.2018.10.002

51207014:国家自然科学基金 51277014:国家自然科学基金 71371065:国家自然科学基金 2015JJ4001:湖南省自然科学基金 15B006:湖南省教育厅优秀青年项目

本校为第一机构

为提高配电网单相接地故障选线的精度及鲁棒性,本文提出了一种基于数据相关性及互补性的选线新方法。借助Copula函数刻画多源故障信息之间的相关性;通过与故障特征数据拟合度最优的Copula函数构造秩相关系数,并用秩相关系数取代主成分分析中的线性相关系数,构造出计及故障数据相关性及互补性的特征挖掘方法;利用费舍尔(Fisher)判别分析法判别故障线路。EMTP及Matlab仿真结果表明,在不同的故障条件下,本文所提出的保护方法均可正确判断出故障线路。

To improve the accuracy and robustness of line selection under single-phase ground fault in distribution network,a novel approach for line selection based on the correlation and complementarity of data is proposed in this paper. Copula function is used to characterize the correlations of multi-source fault information;the rank correlation coefficient is formed by the Copula function that fits the fault characteristic data best,and it is used to replace the linear correlation coefficient of principal component analysis(PCA)to construct a feature mining method that considers the correlation and ...