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Security assessment of a turbine generator using H control based on artificial neural networks and expert systems

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5 Author(s)
Nascimento, E. ; Dept. of Electr. Eng., Imperial Coll., London, UK ; Goswami, P.K. ; Kasenally, E.M. ; Cory, B.J.
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The authors describe a preliminary framework for real time security assessment of turbine generators that integrates artificial neural networks (ANN) and knowledge-based expert systems (KBES). The authors also present the transient stability assessment of a turbine generator using a back propagation artificial neural network. Additional signals have been added to the AVR and governor loops of the turbine generator using H control. The ANN's ability to learn, interpolate and reproduce behaviour is presented, showing how the stability of a high order nonlinear system can be obtained without the prior solution of the state equations

Published in:

Neural Networks to Power Systems, 1991., Proceedings of the First International Forum on Applications of

Date of Conference:

23-26 Jul 1991