TITLE:
Cuckoo Search for Solving Economic Dispatch Load Problem
AUTHORS:
Adriane B. S. Serapião
KEYWORDS:
Economic Dispatch Load; Cuckoo Search Algorithm; Swarm Intelligence; Optimization
JOURNAL NAME:
Intelligent Control and Automation,
Vol.4 No.4,
November
13,
2013
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.