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An artificial neural network (ANN), trained as an inverse of the controlled plant, to function as a multi-input power system stabilizer (PSS) is presented. Generator speed deviation and electrical power deviation are used as the inputs of the PSS. The proposed multi-input ANN PSS using a multilayer neural network with an error back-propagation training method was trained over the full working range...
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