Economic dispatch by ant colony search algorithm

Author

Sum-Im, Thanathip

Author_Institution

Dept. of Electr. Eng., Srinakharinwirot Univ., Nakornnayok, Thailand

Volume

1

fYear

2004

fDate

1-3 Dec. 2004

Firstpage

416

Abstract

In this paper, ant colony search algorithm (ACSA) is proposed to solve the economic dispatch (ED) with transmission losses problem. ACSA is a new cooperative agents approach, which is inspired by the observation of the behaviors of real ant colonies on the topic of ant trail formation and foraging methods. In the ACSA, a set of cooperating agents called "ants" cooperates to find a good solution for economic dispatch problem. The merits of ACSA are parallel search and optimization capabilities. The feasibility of the proposed method is tested on the IEEE 30 bus system and compared to Lambda iteration method and genetic algorithm.

Keywords

cooperative systems; load dispatching; optimisation; power distribution economics; search problems; Lambda iteration method; ant colony search algorithm; cooperative agents approach; economic dispatch problem; genetic algorithm; optimization; transmission losses problem; Ant colony optimization; Character generation; Dynamic programming; Genetic algorithms; Linear programming; Power generation economics; Power system economics; Power systems; Propagation losses; Quadratic programming;

fLanguage

English

Publisher

ieee

Conference_Titel

Cybernetics and Intelligent Systems, 2004 IEEE Conference on

Print_ISBN

0-7803-8643-4

Type

conf

DOI

10.1109/ICCIS.2004.1460451

Filename

1460451