عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
TL48096
انگلیسی
Advanced digital signal processing based redefined power quality indices, and their applications to wind power
[Thesis]
[Thesis]
[Thesis]
[Thesis]
Md Moinul Islam
Brice, Charles
University of South Carolina
2014
136
Committee members: Ginn, Herbert; Santi, Enrico; Yu, Lingyu
Place of publication: United States, Ann Arbor; ISBN=978-1-321-50398-2
Ph.D.
Electrical Engineering
University of South Carolina
2014
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.
Electrical engineering
Applied sciences;Cross time-frequency distribution;Harmonics;Ieee standard 1459-2010;Power quality;Time-frequency distribution
Lejman, Michael
Brice, Charles
Electrical Engineering
University of South Carolina
1651954426; 3672872
مطالعه متن کتاب p
[Thesis]
276903
a
Y
