Title :
Economic dispatch by ant colony search algorithm
Author :
Sum-Im, Thanathip
Author_Institution :
Dept. of Electr. Eng., Srinakharinwirot Univ., Nakornnayok, Thailand
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;
Conference_Titel :
Cybernetics and Intelligent Systems, 2004 IEEE Conference on
Print_ISBN :
0-7803-8643-4
DOI :
10.1109/ICCIS.2004.1460451