DocumentCode :
3495488
Title :
A rule-based expert system for harmonic load recognition
Author :
Umeh, K.C. ; Mohamed, A.
Author_Institution :
Dept. of Electr., Electron. & Syst. Eng., Malaysia Nat. Univ., Malaysia
fYear :
2004
fDate :
29-30 Nov. 2004
Firstpage :
19
Lastpage :
24
Abstract :
This paper presents a new method for identifying the different types of single phase nonlinear loads as sources of harmonic disturbances in a power system. The method combines the use of signal processing and artificial intelligence techniques. Fast Fourier transform and fractal analyses have been used to extract features of the harmonic signatures of the various nonlinear loads from the sampled input current waveforms. Intelligent and automatic harmonic load recognition process is achieved by using a rule-based expert system. The expert system has been verified using real measurements and the results show that the system give accurate identification of the single phase nonlinear loads such as personal computer, fluorescent lights, uninterruptible power supply and oscilloscope.
Keywords :
artificial intelligence; expert systems; fast Fourier transforms; feature extraction; power engineering computing; power system faults; power system harmonics; signal processing; artificial intelligence techniques; automatic harmonic load recognition; current waveforms; fast Fourier transform; feature extraction; fluorescent lights; fractal analyses; harmonic signatures; intelligent harmonic load recognition; oscilloscope; personal computers; power system harmonic disturbances; rule-based expert system; signal processing; single phase nonlinear loads; uninterruptible power supply; Artificial intelligence; Expert systems; Fast Fourier transforms; Feature extraction; Fractals; Harmonic analysis; Power measurement; Power system analysis computing; Power system harmonics; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Conference, 2004. PECon 2004. Proceedings. National
Print_ISBN :
0-7803-8724-4
Type :
conf
DOI :
10.1109/PECON.2004.1461609
Filename :
1461609
Link To Document :
بازگشت