Application of ANN and Genetic Algorithm for Evaluation the Optimum Location of Arresters on Power Networks due to the Switching Overvoltages

Switching surges are of primary importance in insulation co-ordination EHV lines, as well designing apparatuses. The magnitude and shape the switching overvoltages vary with system parameters, network configuration point-on-wave where operation takes place. This paper presents an artificial neural (ANN) based approach to estimate peak value global risk failure generated by transients during line energizing or re-energizing different nodes a power network. Then genetic algorithm (GA) method is developed find best position surge arresters on networks so minimize