Title :
Bi-objective power dispatch using fuzzy satisfaction-maximizing decision approach
Author :
Huang, Chao-Ming ; Yang, Hong-Tzer ; Huang, Ching-Lien
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fDate :
11/1/1997 12:00:00 AM
Abstract :
A fuzzy satisfaction-maximizing decision approach is presented to solve the bi-objective power dispatch problem regarding both minimum fuel cost and minimum environmental impact of NOx emission. Based on the fuzzy utility functions of system operators and a fuzzy satisfaction-maximizing scheme, a set of noninferior solutions are obtained. For each noninferior solution achieved, 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 6-generator test systems are presented to demonstrate the proposed fuzzy satisfaction-maximizing decision approach
Keywords :
control system analysis computing; control system synthesis; fuzzy control; load dispatching; optimal control; power system analysis computing; power system control; NO; NOx emission; bi-objective power dispatch; computer simulation; fuzzy satisfaction-maximizing decision approach; fuzzy utility functions; marginal rate of substitution; minimum environmental impact; minimum fuel cost; noninferior solutions; objective weight factors; power systems; system operators; Chaos; Cost function; Environmental economics; Fuel economy; Fuzzy sets; Fuzzy systems; Pollution; Power generation; Power generation economics; Power system economics;
Journal_Title :
Power Systems, IEEE Transactions on
