DocumentCode :
1174258
Title :
A Novel Software Implementation Concept for Power Quality Study
Author :
Kezunovic, Mladen ; Liao, Yifan
Author_Institution :
Texas A&M University, College Station, TX
Volume :
21
Issue :
11
fYear :
2001
Firstpage :
62
Lastpage :
62
Abstract :
A novel concept for power quality study is proposed. The concept integrates the power system modeling, classifying, and characterizing of power quality events, studying equipment sensitivity to the event disturbance and locating the point of event occurrence into one unified frame. Both Fourier and wavelet analyses are applied for extracting distinct features of various types of events as well as for characterizing the events. A new fuzzy expert system for classifying power quality events based on such features is presented with improved performance over previous neural network-based methods. A novel simulation method is outlined for evaluating the operating characteristics of the equipment during specific events. A software prototype implementing the concept has been developed in MATLAB. The voltage sag event is taken as an example for illustrating the analysis methods and software implementation issues. It is concluded that the proposed approach is feasible and promising for real world applications.
Keywords :
Discrete event simulation; Feature extraction; Hybrid intelligent systems; Neural networks; Power quality; Power system modeling; Software prototyping; Software quality; Voltage fluctuations; Wavelet analysis; Power quality; pattern classification; signal processing; wavelet transforms;
fLanguage :
English
Journal_Title :
Power Engineering Review, IEEE
Publisher :
ieee
ISSN :
0272-1724
Type :
jour
DOI :
10.1109/MPER.2001.4311180
Filename :
4311180
Link To Document :
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