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Abstract : |
Radial Basis Function Networks (RBFNs) are used for contingency evaluation of bulk power system. The motivation behind this work is to exploit the non-linear mapping capabilities of RBFNN in estimating line loading and bus voltage of a bulk power system following a contingency. Unlike most of the available neural networks based techniques, the proposed method utilizes the potential of RBFN in planning studies. The performance of the RBFN is compared with a standard AC load flow algorithm., |
