A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances文档.pdf

Renewable and Sustainable Energy Reviews 51 (2015) 1650–1663 Contents lists available at ScienceDirect Renewable and Sustainable Energy Reviews journal homepage: /locate/rser A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances Suhail Khokhar a,b,n, Abdullah Asuhaimi B. Mohd Zin a, Ahmad Safawi B. Mokhtar a, Mahmoud Pesaran a a Faculty of Electrical Engineering, Universiti Teknologi Malaysis (UTM), Malaysia b Department of Electrical Engineering, Quaid e Awam University of Engineering, Science and Technology (QUEST) Nawabshah Pakistan a r t i c l e i n f o a b s t r a c t Article history: The increasing trend towards renewable energy sources requires higher power quality (PQ) at the Received 11 February 2015 generation, transmission and distribution systems. The PQ disturbances are produced due to the Received in revised form nonlinear loads, power electronic converters, system faults and switching events. The utilities and 14 May 2015 consumers of electric power are expected to acquire ideal voltage and current waveforms at rated power Accepted 15 July 2015 frequency. The development of new techniques for the automatic classification of PQ events is at present Available online 3 August 2015 a major conce