A fuzzy multiobjective approach to contingency constrained OPF

In this paper, the authors present a fuzzy logic approach for the contingency constrained optimal power flow (OPF) problem formulated in a decomposed form that allows for post-contingency corrective rescheduling. The formulation treats the minimization of both the base case (pre-contingency) operating cost and of the post-contingency correction times as conflicting but fuzzy goals. The main contribution of this paper is the development of a systematic procedure for specifying the tolerance parameters that are needed to obtain fuzzy membership functions for these fuzzy goals. The fuzzy formulation is then converted into a crisp formulation that is solved using a standard OPF method. The authors illustrate the concepts using a 14-bus power system.