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
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;
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
DOI :
10.1109/BICTA.2010.5645606