Advanced digital signal processing based redefined power quality indices, and their applications to wind power
General Material Designation
[Thesis]
First Statement of Responsibility
Md Moinul Islam
Subsequent Statement of Responsibility
Brice, Charles
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
University of South Carolina
Date of Publication, Distribution, etc.
2014
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
136
GENERAL NOTES
Text of Note
Committee members: Ginn, Herbert; Santi, Enrico; Yu, Lingyu
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Place of publication: United States, Ann Arbor; ISBN=978-1-321-50398-2
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
Ph.D.
Discipline of degree
Electrical Engineering
Body granting the degree
University of South Carolina
Text preceding or following the note
2014
SUMMARY OR ABSTRACT
Text of Note
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.
TOPICAL NAME USED AS SUBJECT
Electrical engineering
UNCONTROLLED SUBJECT TERMS
Subject Term
Applied sciences;Cross time-frequency distribution;Harmonics;Ieee standard 1459-2010;Power quality;Time-frequency distribution