Classification of VSA by Probalistic Fuzzy Decision Tree Approach

This paper addresses the ongoing work of decision tree on static security assessment of power systems. In this paper efforts are made to accommodate a new approach Probabilistic Fuzzy Decision Tree (PFDT) with the Decision Tree (DT). Here security assessment classification is discussed and the results compared with the conventional method with different operating point are presented. PFDT examines and classify the power system whether the system is secure or insecure. The input variables to the network are loadings parameters of the lines and the voltage magnitude of the load busses. The algorithms are tested on IEEE-30 bus systems. The results obtained and indicate that PFDT method is more accurate and computational time is less than conventional method.