A genetic algorithm based approach to economic load dispatching

Author

Mori, Hiroyuki ; Horiguchi, Takuya

Author_Institution

Dept. of Electr. Eng., Meiji Univ., Kawasaki, Japan

fYear

1993

fDate

1993

Firstpage

145

Lastpage

150

Abstract

This paper presents a two-phase genetic algorithm for economic load dispatching of generators in power systems. The problem of ELD is expressed as a Lagrange function. The conventional GA has a drawback that the algorithm is not so effective as the number of variables increases. To improve the GA characteristic, a two-phase GA is proposed to obtain better solutions. The proposed genetic algorithm may be applied to minimize the Lagrange function with respect to the generator unit output. The effectiveness of the proposed method is demonstrated in a 20-unit system.

Keywords

digital simulation; economics; genetic algorithms; load dispatching; power system analysis computing; Lagrange function; digital simulation; economic load dispatching; generators; genetic algorithm; power system analysis computing; power systems; two-phase; unit output; Cost function; Dispatching; Fuel economy; Genetic algorithms; Mathematical programming; Power generation; Power generation economics; Power system economics; Power system planning; Power systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks to Power Systems, 1993. ANNPS '93., Proceedings of the Second International Forum on Applications of

Conference_Location

Yokohama, Japan

Print_ISBN

0-7803-1217-1

Type

conf

DOI

10.1109/ANN.1993.264299

Filename

264299