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A fuzzy multiobjective approach to contingency constrained OPF

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2 Author(s)
Ramesh, V.C. ; Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA ; Li, X.

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

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Power Systems, IEEE Transactions on  (Volume:12 ,  Issue: 3 )