Harmonic content identification based on neural method for single phase power systems
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Undergraduate course
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Abstract
An alternative method is presented in this paper to identify the harmonic components of non-linear loads in single phase power systems based on artificial neural networks. The components are identified by analyzing the single phase current waveform in time domain in half-cycle of the ac voltage source. The proposed method is compared to the fast Fourier transform. Simulation and experimental results are presented to validate the proposed approach.
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Keywords
Converter circuits, Harmonics, Neural network, Power quality, Single phase system, AC voltage source, Alternative methods, Artificial Neural Network, Harmonic components, Harmonic contents, Nonlinear load, Single phase current, Single phase power systems, Time domain, Electric converters, Electric measuring instruments, Electric power transmission networks, Fast Fourier transforms, Harmonic analysis, Photolithography, Power electronics, Neural networks
Language
English
Citation
2009 13th European Conference on Power Electronics and Applications, EPE '09.
