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

Volume

12

Issue

3

fYear

1997

fDate

8/1/1997 12:00:00 AM

Firstpage

1348

Lastpage

1354

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;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.630480

Filename

630480