Fast contingency analysis and ranking for power system security assessment

Abstract

Economic and environmental pressures have caused the modern power system to operate more close to its limit of stability. Maintaining power system security in such scenario is one of the challenging tasks for the power system engineers. An essential task is security assessment which gives the idea about the system state in the event of contingency. Practically, only selected contingencies will lead to severe conditions in power system. In this paper, contingency analysis and ranking technique for single line outage has been explained. Further the contingency analysis suited especially for online environment has been done by using Multilayer Perceptron Network (MLP) and Probabilistic Neural Network (PNN). This provides an effective mean to rank the contingencies for various loading in a power system