A class of intelligent algorithms for on-line dynamic security assessment of power systems

This paper proposes intelligent algorithms for on-line dynamic security assessment (DSA) of power systems. The approach utilizes decision tree (DT), case based reasoning (CBR) techniques, and then proposes a hybrid algorithm taking into account merits of both techniques to assess on-line DSA in the power system. The structure and functionalities of the algorithm are described. A simplified model of power systems is used to demonstrate the effectiveness and the operation of the algorithms. Results suggest that on-line DSA using the hybrid algorithm improves classification significantly and provide lesser computational steps.