DocumentCode :
547607
Title :
An improved Tabu search algorithm and PSO for unit commitment problem solving
Author :
Khatibzadeh, Ahmad Ali ; Khanbeigi, Ghafur Ahmad ; Bamdadian, Mohamad Mehdi ; Naderi, Heresh ; Sheikh-el-Eslami, Mohamad Kazem
Author_Institution :
Power system Lab, Tarbiat Modares University
fYear :
2011
fDate :
17-19 May 2011
Firstpage :
1
Lastpage :
6
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 :
Artificial neural networks; Equations; Generators; Mathematical model; Optimization; Power systems; Production; Optimization; PSO; TS; UC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering (ICEE), 2011 19th Iranian Conference on
Conference_Location :
Tehran, Iran
Print_ISBN :
978-1-4577-0730-8
Electronic_ISBN :
978-964-463-428-4
Type :
conf
Filename :
5955495
Link To Document :
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