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Intelligent techniques of harmonic detection or estimation are nowadays of a great interest in power system applications, their ability to deal with high non-linearities attract researchers to investigate the performance of these methods mainly based on artificial intelligence namely using artificial neural networks (ANNs). In the literature many harmonic detection or estimation methods were presented,...
The increasing use of nonlinear loads such as power electronic devices has led to serious harmonic pollution in the power system. In order to prevent harmonics from deteriorating the power quality, detecting harmonic components for harmonic mitigations becomes an important issue. In this paper, the radial basis function neural network (RBFNN) suitable for function approximations and pattern classifications...
In this paper, an efficient and reliable neural active power filter (APF) to estimate and compensate for harmonic distortions from an AC line is proposed. The proposed filter is completely based on Adaline neural networks which are organized in different independent blocks. We introduce a neural method based on Adalines for the online extraction of the voltage components to recover a balanced and...
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