Multicontingency voltage stability monitoring of power systems using radial basis function network

This paper proposes a scheme for online voltage stability monitoring using radial basis function network (RBFN). A single RBFN is used to predict MW margins for different contingencies. A self-organizing learning algorithm and a sequential learning strategy are used to design the hidden layer of the RBFN and the weights in the output layer are determined by using linear optimization technique. The proposed scheme is applied on the New England 39-bus power system model.