This paper deals with techniques to solve the corrective security-constrained optimal power flow (CSCOPF) problem. To this end, we propose a new iterative approach that comprises four modules: a CSCOPF which considers only a subset of potentially binding contingencies among the postulated contingencies, a (steady-state) security analysis (SSSA), a contingency filtering (CF) technique, and an OPF variant to check post-contingency state feasibility when taking into account post-contingency

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... ive actions. We compare performances of our approach and its possible variants with classical CSCOPF approaches such as the direct approach and Benders decomposition (BD), on three systems of 60, 118, and 1203 buses. Index Terms-Benders decomposition, contingency filtering, optimal power flow, security-constrained optimal power flow Florin Capitanescu graduated in Electrical Power Engineering from the University "Politehnica" of Bucharest (Romania) in 1997. He obtained the Ph.D. degree from the University of Liège in 2003. His main research interests include optimization methods and voltage stability. Louis Wehenkel (M'93) graduated as an Electrical Engineer (electronics) in 1986 and received the PhD degree in 1990, both at the University of Liège, where he is full Professor of Electrical Engineering and Computer Science. His research is in stochastic methods for modeling, analysis and optimization of complex systems, machine learning and data mining, with applications in power systems planning/operation/control and bioinformatics/systems biology.