Title :
Application of Neural Network in Power System Inter-harmonic Detection
Author :
Wang Li ; Wang Xiao-hua
Author_Institution :
Changsha Univ. of Sci. & Technol., Changsha, China
Abstract :
Inter-harmonic is a special power system harmonics, which appears frequently grid. This article outlines the sources and hazards of inter-harmonic, and analysis several inter-harmonic detection methods. A new Inter-harmonic detection method which combines with double interpolation FFT and artificial neural networks (ANN) is applied in the article, the feasibility of the harmonic analysis method is researched. The simulation example shows that the method can get high-precision amplitude and phase, so it is effective.
Keywords :
fast Fourier transforms; harmonic analysis; neural nets; power engineering computing; power system harmonics; artificial neural networks; double interpolation FFT; harmonic analysis method; power system interharmonic detection; Algorithm design and analysis; Artificial neural networks; Harmonic analysis; Interpolation; Power harmonic filters; artificial neural networks; detection; double interpolation; hamonici;
Conference_Titel :
Information Science and Engineering (ISISE), 2010 International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-428-2
DOI :
10.1109/ISISE.2010.58