A CPF based neural approach for critical contingency evaluation and weak bus identfication

In this paper, artificial neural network (ANN) based approach is used to quickly estimate the margin to voltage collapse. A new index “Post Contingency Loading Margin” (PCLM) has been proposed to estimate the loadability margin of the system leading to evaluation of critical contingencies and identification of weak buses under any operating condition. The proposed method has been applied and tested on IEEE 30 bus test system and corresponding results have been presented.