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http://acervodigital.unesp.br/handle/11449/71389- Título:
- Harmonic content identification based on neural method for single phase power systems
- Universidade Federal do ABC (UFABC)
- Universidade de São Paulo (USP)
- Federal Technological University of Parana - UTFPR-CP
- Universidade Estadual Paulista (UNESP)
- 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.
- 1-Dez-2009
- 2009 13th European Conference on Power Electronics and Applications, EPE '09.
- 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
- http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5278752
- Acesso restrito
- outro
- http://repositorio.unesp.br/handle/11449/71389
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