Title: Application of matching pursuits of power quality disturbance classification

Authors: Ning Wang, Qing-quan Jia, Chun-xia Dou, Zhi-qian Bo

Addresses: Key Laboratory of Power System Simulation and Control of Ministry of Education, Tianjin University, No. 92 Weijin Road, Nankai District, Tianjin, 300072, China; Institute of Electrical Engineering, Yanshan University, No. 438 Hebei Avenue West Section, Haigang District, Qinhuangdao, Hebei Province, 066004, China. ' Institute of Electrical Engineering, Yanshan University, No. 438 Hebei Avenue West Section, Haigang District, Qinhuangdao, Hebei Province, 066004, China. ' Institute of Electrical Engineering, Yanshan University, No. 438 Hebei Avenue West Section, Haigang District, Qinhuangdao, Hebei Province, 066004, China. ' AREVA T&D Automation Ltd., Stafford, ST17 4LX, UK

Abstract: To analyse power quality disturbance, the first thing is to classify disturbance. This paper presents a novel power quality disturbance classification method based on matching pursuits (MP) algorithm. The MP algorithm is used to decompose the atom dictionary. We design four coherent dictionaries by analysing characteristic of power quality disturbance, which simplifies the calculation of MP algorithm. Based on the coherent dictionaries, the fundamental frequency component (FFC) and disturbance component are extracted respectively. And the parameters of FFC and disturbance component are obtained. By analysing the relationship of energy in disturbance component and residual signal, the noise and the disturbance with little influence the FFC can be filtered. Simulation and real data results confirm the effectiveness of the proposed method, and obtaining accuracy with high signal-to-noise ratios.

Keywords: power quality disturbance; disturbance classification; atomic decompose; matching pursuits; coherent dictionary; power disturbance.

DOI: 10.1504/IJAMECHS.2011.040686

International Journal of Advanced Mechatronic Systems, 2011 Vol.3 No.2, pp.148 - 156

Published online: 16 Jun 2011 *

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