Title :
Hybrid CLONAL selection algorithm with PSO for valve-point Economic load Dispatch
Author :
Nejad, Sogol Babaei ; Elyas, Seyyed Hamid ; Khamseh, Ali ; Moghaddam, Iman Naziri ; Karrari, Mehdi
Author_Institution :
Dept. of Electr. Eng., Semnan Univ., Semnan, Iran
Abstract :
Economic load Dispatch (ED) is one of the most important problems in power system operation. It is a nonlinear non-convex problem which stochastic search algorithms seem to be appropriate solutions. This study tries to propose a new method which is derived from the combination of two different algorithms, CLONAL as the basic algorithm and PSO. The proposed method has been tested on two different systems containing thirteen and forty generators and obtained results have been compared with the results of other stochastic search algorithms. The fascinating results obtained from the comparison ensure the efficiency of the new proposed method.
Keywords :
concave programming; electric generators; load dispatching; particle swarm optimisation; power system economics; stochastic programming; PSO; hybrid CLONAL selection algorithm; nonlinear nonconvex problem; particle swarm optimization; power generators; power system operation; stochastic search algorithms; valve-point economic load dispatch; Algorithm design and analysis; Convergence; Economics; Optimization; Particle swarm optimization; Power systems; Vectors; CLONAL Selection Algorithm; Economic Load Dispatch; Particle Swarm Optimization;
Conference_Titel :
Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean
Conference_Location :
Yasmine Hammamet
Print_ISBN :
978-1-4673-0782-6
DOI :
10.1109/MELCON.2012.6196631