Evaluation of the performance of a fuzzy optimal power flow algorithm

Author

Saraiva, Tomé J. ; Miranda, Vladimiro

Author_Institution

Inst. de Engenharia de Sistemas e Computadores, INESC, Porto, Portugal

fYear

1994

fDate

12-14 Apr 1994

Firstpage

897

Abstract

In this paper an improved DC fuzzy optimal power flow (FOPF) model for power system planning purposes formulated as a multi-parametric programming problem is briefly presented. This model uses fuzzy set theory concepts to represent information about loads expressed in a subjective way by experts or integrating a certain degree of uncertainty about the future. The proposed algorithm has a heuristic nature so that it is important to evaluate the quality of the derived membership functions. A sampling procedure is used to build membership functions to be compared with the ones obtained using the FOPF algorithm. In the paper results obtained for two networks based on the IEEE 24 and 30 bus test systems are presented and discussed

Keywords

fuzzy set theory; load flow; mathematical programming; power system planning; DC fuzzy optimal power flow model; IEEE 24 bus test system; IEEE 30 bus test system; derived membership functions; fuzzy optimal power flow algorithm; fuzzy set theory; load information; multi-parametric programming; power system planning; sampling procedure; DC generators; Electronic mail; Fuzzy set theory; Heuristic algorithms; Load flow; Natural languages; Power generation; Power system modeling; Power system planning; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrotechnical Conference, 1994. Proceedings., 7th Mediterranean

Conference_Location

Antalya

Print_ISBN

0-7803-1772-6

Type

conf

DOI

10.1109/MELCON.1994.380957

Filename

380957