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Harmonic Content Identification Based on Neural Method for Single-Phase Power Systems
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| Author(s) |
Sergio SILVA, Claudionor NASCIMENTO, Alessandro GOEDTEL, Azauri OLIVEIRA JÚNIOR, Paulo José SERNI |
| 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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| Filename: | 0501-epe2009-full-16443103.pdf |
| Filesize: | 333.7 KB |
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| Type |
Members Only |
| Date |
Last modified 2010-01-27 by System |
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