DocumentCode
547932
Title
An improved Tabu search algorithm and PSO for unit commitment problem solving
Author
Khatibzadeh, A.A. ; Khanbeigi, G.A. ; Bamdadian, M.M. ; Naderi, Habib ; Sheikh-El-Eslami, Mohammad Kazem
fYear
2011
fDate
17-19 May 2011
Firstpage
1
Lastpage
1
Abstract
One of the important tasks of system operators in electricity network is Unit commitment. Considering development of electricity market restructuring in generation side, the Generating and Transition costs will be decreased in a high scale by right committing of this operation. This paper proposes to represent compromise improved TS and enhanced PSO in the sense of accuracy and speed of solution. The priority of this method is determined more speed and less accuracy in the sense of PSO method by derived numerical results checking.
Keywords
particle swarm optimisation; power generation dispatch; power generation economics; power generation scheduling; power markets; problem solving; search problems; PSO method; electricity market; electricity network; generating costs; particle swarm optimization; tabu search algorithm improvement; transition costs; unit commitment problem solving; Optimization; PSO; TS; UC;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Engineering (ICEE), 2011 19th Iranian Conference on
Conference_Location
Tehran
Print_ISBN
978-1-4577-0730-8
Type
conf
Filename
5955822
Link To Document