Advanced digital signal processing based redefined power quality indices, and their applications to ...

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" Advanced digital signal processing based redefined power quality indices, and their applications to wind power "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	802916
Doc. No	:	TL48096
Call number	:	‭1651954426;‮ ‬3672872‬
Main Entry	:	Lejman, Michael
Title & Author	:	Advanced digital signal processing based redefined power quality indices, and their applications to wind power
	:	\ Md Moinul Islam
	:	Brice, Charles
College	:	University of South Carolina
Date	:	2014
Degree	:	Ph.D.
student score	:	2014
field of study	:	Electrical Engineering
Page No	:	136
Note	:	Committee members: Ginn, Herbert; Santi, Enrico; Yu, Lingyu
Note	:	Place of publication: United States, Ann Arbor; ISBN=978-1-321-50398-2
Abstract	:	This dissertation proposes a time-frequency distribution (TFD) based new method to redefine the power quality (PQ) indices for the assessment of PQ disturbances typically present in electric power systems. The redefined PQ indices are applied to various types of synthetic and real-world PQ disturbances in order to verify the efficacy and applicability of the proposed method. The case studies show that the proposed method provides actual results with respect to the existing TFD-based transient PQ indices, and provides much more accurate results than the traditional fast Fourier transform (FFT) based PQ indices under stationary and nonstationary PQ disturbances.
Subject	:	Electrical engineering
Descriptor	:	Applied sciences;Cross time-frequency distribution;Harmonics;Ieee standard 1459-2010;Power quality;Time-frequency distribution
Added Entry	:	Brice, Charles
Added Entry	:	University of South Carolina
	:	Electrical Engineering