Topological observability: Artificial neural network application based solution for a practical power system

An artificial neural network application based method for solving the topological observability problem of power systems is presented in this paper. Back-propagation and quickprop algorithms have been used for training the artificial neural networks used for present solution technique and the method has been successfully implemented on the standard 5-bus power system and on a practical 87-bus power system and the results are presented.