Adriane B. S. Serapião

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Univ Estadual Paulista (UNESP/IGCE/DEMAC), Rio Claro, Brazil.
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Abstract: Economic Load Dispatch (ELD) is a process of scheduling the required load demand among available generation units such that the fuel cost of operation is minimized. The ELD problem is formulated as a nonlinear constrained optimization problem with both equality and inequality constraints. In this paper, two test systems of the ELD problems are solved by adopting the Cuckoo Search (CS) Algorithm. A comparison of obtained simulation results by using the CS is carried out against six other swarm intelligence algorithms: Particle Swarm Optimization, Shuffled Frog Leaping Algorithm, Bacterial Foraging Optimization, Artificial Bee Colony, Harmony Search and Firefly Algorithm. The effectiveness of each swarm intelligence algorithm is demonstrated on a test system comprising three-generators and other containing six-generators. Results denote superiority of the Cuckoo Search Algorithm and confirm its potential to solve the ELD problem.

Keywords: Economic Dispatch Load; Cuckoo Search Algorithm; Swarm Intelligence; Optimization

Cite this paper: A. Serapião, "Cuckoo Search for Solving Economic Dispatch Load Problem," Intelligent Control and Automation, Vol. 4 No. 4, 2013, pp. 385-390. doi: 10.4236/ica.2013.44046.

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