基于k均值聚类和线性回归的输电线路保护方案

A. Gangwar, Bhunesh Rathore, Om Prakash Mahela
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引用次数: 4

摘要

本文对输电线路中的并联故障进行了检测、分类和定位。利用传输线两端母线同步电流信号,用小波变换求出近似系数。该算法采用k均值聚类对故障进行检测和分类。采用线性回归方法对故障位置进行估计。将两个母线的近似小波系数相加得到近似系数。在这些近似系数上应用K-means聚类,在半周期内计算两个质心。计算质心差值,并根据质心差值对故障进行检测和分类。通过不同的故障位置、不同的故障入射角、不同的故障阻抗等实例验证了算法的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
K-means Clustering and Linear Regression Based Protection Scheme for Transmission Line
In this paper, shunt fault is detected, classified and located in power transmission line. The synchronized Current signals at both the bus of the transmission line are used for obtaining approximate coefficients using wavelet transform. The proposed algorithm is used K-means clustering to detect and classify the faults. Fault location is estimated using linear regression method. The approximate wavelet coefficients of the both the buses are added to get resultant approximate coefficients. K-means clustering is applied on these resultant approximate coefficients to computes two centroid in a half cycle. The centroid difference (C.D) is computed, and the basis of the centroid difference the fault is detected and classified. Various case studies such as vary fault location, fault incidence angle and fault impedance to verify the robustness of the algorithm.
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