1,721,081 research outputs found

    Steady State Security Evaluation of Electrical Power Systems by Means of Artificial Neural Network

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    An artificial-neural-network (ANN) application for steady-state security evaluation of electrical power systems is presented. Such application is based upon a combined use of a multilayer back-propagation neural network and of an opportune electrical system model, previously proposed by some of the authors. In the paper, the definition of steady-state security and the problems arising from its on-line evaluation are briefly recalled. Then, the ANN utilized is described with particular reference to the solutions adopted by the authors. Afterwards, some remarks on the system model utilized are reported. Finally, numerical applications on the AEP-14 bus system are presented and the results obtained with different ANN configurations are analyzed

    A Pattern Recognition Approach for Steady-State Security Evaluation of an Electrical Power System

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    A new pattern recognition approach to steady-state security evaluation of electrical power systems is presented. Such approach is based upon a combined use of the "nearest-neighbour" method and of an opportune system model - previously proposed by the authors - for the basis of knowledge generation. In the first part of the paper, the definition of steady-state security and the problems arising from its on-line evaluation are briefly recalled. Then, the pattern recognition approach proposed is described in some detail, and its ability in order to overcome the computational drawbacks of traditional methods is illustrated. Afterwards, some remarks on the system model utilized are reported. Finally, a numerical experiment with reference to the AEP 14 bus test system is presented, showing very encouraging results
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