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- W137284162 abstract "With the widespread use of power electronics equipment and nonlinear loads since the last twenty years, current and voltage waveforms of distribution systems are becoming highly distorted. This paper presents an adaline artificial neural network, and its new algorithm based on a genetic method for tracking the harmonic components of current and voltage waveforms in power systems. Adaptive tracking of harmonic components can easily be done using this algorithm. The proposed algorithm is fast due to its simple construction, which make it suitable for on-line applications. This knowledge would make it possible to compensate the harmonic components. The simulated results are presented and validated by experimental results to depict the effectiveness of the proposed method." @default.
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- W137284162 date "2007-01-01" @default.
- W137284162 modified "2023-09-27" @default.
- W137284162 title "Harmonic Estimation in Power Systems Using Adaptive Perceptrons Based on a Genetic Algorithm" @default.
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