An online power system static security assessment module using multi-layer perceptron and radial basis function network
Power system static security assessment module is proposed for contingency ranking. MFNN and RBFN models are trained and tested to predict performance indices. The PSSSA module with MFNN and RBFN is quick and accurate for security assessment.
security assessment artificial neural network power system security contingency ranking module