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- W2065165754 abstract "The paper proposes a novel fault detection and classification scheme for EHV power transmission lines using genetic algorithm-based neural networks. The application concerned is fault classification for EHV lines with a unified power factor corrector (UPFC), since fault classification is a key part of protective relaying schemes. After the genetic algorithm-based neural network is briefly discussed in general, EMTP based digital simulation results of a UPFC transmission system are presented. The generation of training/test data and preprocessing of these data for neural networks are then described. The paper places special emphasis on the performance comparison between a genetic algorithm-based neural network and a backpropagation network-based scheme." @default.
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- W2065165754 date "1997-01-01" @default.
- W2065165754 modified "2023-10-05" @default.
- W2065165754 title "Genetic algorithm based neural networks applied to fault classification for EHV transmission lines with a UPFC" @default.
- W2065165754 doi "https://doi.org/10.1049/cp:19970081" @default.
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