Application of case based reasoning in voltage security assessment

Abstract

In this paper case based reasoning (CBR) approach has been developed for voltage security assessment. In the CBR approach, probabilistic fuzzy decision tree (PFDT) is being trained in real time for getting solution of new cases. In case topology of the power system changes the PFDT models may not respond correctly and hence need retraining. CBR updates its case-base in real-time by learning new cases and use them in future. Also case-base of CBR can easily be modified for any change in topology of the power system. The proposed approach, classifies the power system operating states instantaneously into secure and insecure states with the desired accuracy.