Cuckoo Search for Solving Economic Dispatch Load Problem

• 作者: Adriane B. S. Serapi?o
• 来源期刊: 智能控制与自动化(英文)
• 学科: 工学
• 关键词: Economic DISPATCH LOAD CUCKOO SEARCH Algorithm SWARM INTELLIGENCE Optimization
• 年，卷（期）: 2013,（4）
• 页码范围: 385-390
• 页数: 6页
• 分类号: TP1

摘要

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.