Radial Basis Function Networks for contingency analysis of bulk power systems

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 vo ltage of a bulk power system following a contingency. Unlike most of the av ailable neural networks based techniques, the proposed method utilizes the potential of RBFN in planning studies. The performance of the RBFN is compa red with a standard AC load flow algorithm.