Contingency Evaluation of Electrical Power System Using Artificial Neural Network (original) (raw)
This paper presents application of Artificial Neural Network (ANN) based contingency analysis of power system. The ANN has been chosen because of its high adaptation parallel information processing capability. Another feature that makes the ANN more suitable for this type of problems is its ability to augment new training data without the need for retraining. In this Multilayer Feed Forward network is used for contingency analysis in planning studies where the goal is to evaluate the ability of a power system to support a projected range of peak demand under all foreseeable contingencies. This work involves selection of network design, preparation of input patterns, training & testing. In order to generate the training patterns three system topologies were considered. Training data are obtained by load flow studies (NR Method) for different system topologies over a range of load levels using software simulation package (Mipower) and the results are compiled to form the training set....
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