A fuzzy bi-objective decision method for dispatch of electrical power load

Author

Huang, Chac-Ming ; Yang, Hong-Tzer ; Huang, Ching-Lien

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

fYear

1996

fDate

11-14 Dec 1996

Firstpage

284

Lastpage

289

Abstract

A fuzzy bi-objective decision approach is presented to solve the power dispatch problem regarding both minimum fuel cost and minimum environmental impact of NO_x emission. Based on the fuzzy utility functions of system operators and a fuzzy satisfaction-maximizing scheme, a set of non-inferior solutions are obtained. For each non-inferior solution, the associated marginal rate of substitution (MRS) is then calculated to help the operators more rationally determine the weight factors of the objectives considered, and hence the final best compromise solution. Numerical results of the IEEE 30-bus test systems are presented to demonstrate the proposed fuzzy bi-objective decision approach

Keywords

air pollution; costing; decision theory; environmental factors; fuel; fuzzy logic; load dispatching; minimisation; operations research; IEEE 30-bus test systems; NO; NO_x emission; compromise solution; electrical power load dispatch; fuzzy biobjective decision method; fuzzy satisfaction-maximizing scheme; fuzzy utility functions; marginal rate of substitution; minimum environmental impact; minimum fuel cost; noninferior solutions; system operators; weight factors; Costs; Decision making; Environmental economics; Fuels; Logic; Pollution; Power engineering and energy; Power generation; Power generation economics; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian

Conference_Location

Kenting

Print_ISBN

0-7803-3687-9

Type

conf

DOI

10.1109/AFSS.1996.583605

Filename

583605