DocumentCode
3237304
Title
Particle Swarm Optimization for economic dispatch problems with valve-point effects
Author
Deep, Kusum ; Bansal, Jagdish Chand
Author_Institution
Dept. of Math., Indian Inst. of Technol. Roorkee, Roorkee, India
fYear
2010
fDate
23-26 Sept. 2010
Firstpage
1395
Lastpage
1398
Abstract
Laplace Crossover Particle Swarm Optimization (LXPSO) is a variant of Particle Swarm Optimization (PSO) which employs Laplace Crossover to PSO. LXPSO is already proven to be cost effective and reliable for the test problems of continuous optimization. Economic dispatch (ED) problem is one of the fundamental issues in power system operations. The problem of economic dispatch turns out to be a continuous optimization problem which is solved using original PSO and its variant LXPSO in expectation of better results. Results are also compared with the earlier published results.
Keywords
particle swarm optimisation; power system economics; valves; Laplace crossover particle swarm optimization; continuous optimization problem; economic dispatch problems; power system operations; valve-point effects; Economics; Optimization; Economic Dispatch; Laplace Crossover; Particle Swarm Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-6437-1
Type
conf
DOI
10.1109/BICTA.2010.5645606
Filename
5645606
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