Title :
A fuzzy multiobjective approach to contingency constrained OPF
Author :
Ramesh, V.C. ; Li, Xuan
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
fDate :
8/1/1997 12:00:00 AM
Abstract :
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
Keywords :
control system analysis; control system analysis computing; fuzzy control; load flow; load regulation; optimal control; power system analysis computing; power system control; power system security; IEEE 14-bus network; computer simulation; contingency constrained optimal power flow; fuzzy goals; fuzzy membership functions; fuzzy multiobjective approach; post-contingency correction times; post-contingency corrective rescheduling; power systems; pre-contingency operating cost; tolerance parameters; Costs; Fuel economy; Fuzzy logic; Fuzzy systems; Load flow; Power generation economics; Power system economics; Power system modeling; Power system security; Power systems;
Journal_Title :
Power Systems, IEEE Transactions on
