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- W2146877194 abstract "This paper presents a hybrid neural network approach to voltage stability analysis. Essentially, the proposed hybrid neural network consists of a Kohonen network and a multi-layer feed-forward network. By using voltage collapse margin method (VCM) and singular value decomposition method (SVD), the hybrid neural network is trained to identify voltage weak buses/areas and to evaluate the loadability of power systems in terms of voltage stability. Moreover, the Kohonen neural network works as a front end to cluster input patterns with similar features of operating conditions and hence the generalization capability of the multi-layer feed-forward network has been improved significantly. The effectiveness of the proposed network has been demonstrated on the IEEE 57-bus test system and the results are very encouraging." @default.
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- W2146877194 date "1998-10-01" @default.
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- W2146877194 title "Hybrid supervised and unsupervised neural network approach to voltage stability analysis" @default.
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- W2146877194 doi "https://doi.org/10.1016/s0378-7796(98)00056-x" @default.
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