Harmonic content identification based on neural method for single phase power systems

• Autor(a) principal: Nascimento, Claudionor F.
• Data de Publicação: 2009
• Outros Autores: Oliveira Jr., Azauri A., Goedtel, Alessandro, Serni, Paulo J. A. [UNESP], Oliveira Da Silva, Sergio A.
• Tipo de documento: Artigo de conferência
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5278752; http://hdl.handle.net/11449/71389
• topic: 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

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.