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