• Indu Sekhar Samanta

Power quality issue has evolved as an interesting topic for researchers since last few years due to a large utilization of loads based on power electronics and controlled by microprocessors. In different papers, different classification techniques have been proposed for recognition of power quality disturbances so far. A broad overview of signal processing techniques used for power quality analysis is presented in this paper. Various intelligent techniques used for classification such as artificial neural network, fuzzy logic, support vector machine as well as their hybrid models are reviewed. This paper may be used by researchers to know about different methods for classification and feature extraction of power quality(PQ) disturbances used so far, which may help for further improvement and better result.

PQ disturbances, Signal Transformation techniques, Intelligent techniques, Optimization methods, Signal feature extraction, PQ event classifier

"DETECTION AND CATEGORIZATION OF POWER QUALITY EVENTS: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.141-157, December-2018, Available :http://www.jetir.org/papers/JETIR1812B20.pdf

"DETECTION AND CATEGORIZATION OF POWER QUALITY EVENTS: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp141-157, December-2018, Available at : http://www.jetir.org/papers/JETIR1812B20.pdf