Title :
Quantum particle swarm optimization for economic dispatch problem with valve-point effect
Author :
Hosseinnezhad, V. ; Hagh, Mehrdad Tarafdar ; Babaei, Ebrahim
Author_Institution :
Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz, Iran
Abstract :
In this paper, a new particle swarm optimization (PSO) called Quantum particle swarm optimization (QPSO) is used for solving economic load dispatch (ELD) problem with valve-point effect. The new method is based on quantum mechanics rather than the classic mechanics assumed in all previous versions of PSO and has fewer parameters and stronger search capability than the classical particle swarm optimization (CPSO), as well as is easy to implement. The algorithm optimization performance is simulated by systems possessing 13, and 40 generating units. The simulation results verify that the new method can effectively solve ELD problem and provide the solutions comparable to or better than those generated by recently reported optimization algorithms.
Keywords :
load dispatching; particle swarm optimisation; power generation economics; quantum theory; ELD problem; classical particle swarm optimization; economic load dispatch problem; quantum mechanics; quantum particle swarm optimization; search capability; valve-point effect; Economic load dispatch; particle swarm optimization; quantum particle swarm optimization; valve-point effect;
Conference_Titel :
Electrical Engineering (ICEE), 2011 19th Iranian Conference on
Conference_Location :
Tehran
Print_ISBN :
978-1-4577-0730-8