A decision tree method for on-line steady state security assessment

In this paper the application of an inductive inference method to online steady state security assessment of a power system is proposed. For each contingency a number of decision rules in the form of a decision tree (DT) is built offline from a preclassified learning set consisting of operating points of the system. For the real time application of the method the DTs corresponding to the foreseen contingencies are searched online to provide optimal guidelines for preventive control of the system. The algorithm developed is applied to the steady state security assessment of a realistic model of the Hellenic interconnected power system comprising 240 busbars, 270 branches, 57 transformers and 30 equivalent generators