Power Quality Disturbance Location Method based on Cross-Feedback - Recursive Least Squares

Shao Zhenhua,Chen Li-An,Zheng Meirong,Tao Xianliang,Yan Qichen,Chen Tianxiang,Guo Yanyan,Sun Zelong

doi:10.2174/1874129001409010208

Abstract

Due to the randomness and complexity of power quality disturbances, there is lack of mature and reliable detection and analysing methods on power quality disturbance, especially in the construction site with the changeable operation condition .In order to deal with the problems of non-stationary power quality signals and spectrum leakage, a new CF Recursive Least Squares (CF-RLS) based on blind sources separation method is proposed in this paper. Furthermore the way of converging on the proposed method is based on the maximum negative entropy gradient value. In this way, the verges can be detected and the CF-RLS method can meet the requirement of signal reconstruction condition. With the help of Matlab 7.0, the simulation cases with the power system harmonics with single disturbance and mixed disturbance are discussed. Moreover the simulation results show that the harmonics parameters, including amplitudes, phase angles and disturbance time, can be detected precisely. At last, the proposed method can completely meet the requirements of the power quality disturbance location.

Highlights

D With widely use of nonlinear load, especially the power electronic devices and some impact loads, more and moreE researchers pay attention on the increasing serious power quality of power grid [1,2,3,4]
A and insulation aging for large generator are proved to be connected with the deterioration of power quality [5,6,7,8,9]
The simulation results show that the proposed method can accurately analyse parameters of power quality transient disturbance, and it can detect and locate the time and amplitude of filter

Summary

INTRODUCTION

D With widely use of nonlinear load, especially the power electronic devices and some impact loads, more and more. E researchers pay attention on the increasing serious power quality of power grid [1,2,3,4]. Position and recognition on power quality transient disturbance provides. FFT is inevitable to cause the spectrum leakage and fence effect because of truncation and discreteness in signal collection. These detection methods are sensitive to background noises, Filtering processing for eliminating low-frequency disturbance and noise signal carried out is very necessary. The simulation results show that the proposed method can accurately analyse parameters of power quality transient disturbance, and it can detect and locate the time and amplitude of filter. THEORETICAL BASIS recognition on power quality transient disturbance is very

Blind Sources Separation

CF-RLS

Location of Disturbances of Simulations Example

E RLSBP1 R2