DocumentCode
2030598
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
fYear
2012
fDate
25-28 March 2012
Firstpage
1147
Lastpage
1150
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean
Conference_Location
Yasmine Hammamet
ISSN
2158-8473
Print_ISBN
978-1-4673-0782-6
Type
conf
DOI
10.1109/MELCON.2012.6196631
Filename
6196631
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