DocumentCode
3591591
Title
Lagrange relaxation — Invasive weed optimization for profit based unit commitment
Author
Sudhakar, A.V.V. ; Chandram, K. ; Laxmi, A. Jaya
Author_Institution
Dept. of Electr. & Electron. Eng., SR Eng. Coll., Warangal, India
fYear
2014
Firstpage
1
Lastpage
6
Abstract
In this paper, Lagrangian Relaxation (LR) - Invasive Weed Optimization (IWO) has been proposed to solve Profit Based Unit Commitment (PBUC). Lagrangian Relaxation (LR) is applied for Unit commitment and IWO is used to update the Lagrangian multipliers based on the duality gap. In order to prove the applicability of the proposed approach, it has been tested on 3- and 10- units systems. The simulation results of the proposed method are presented in case studies and compared with existing methods available in the literature. Comparison of the results shows that the proposed method provides better solution with less computational time.
Keywords
optimisation; power generation dispatch; power generation scheduling; power system economics; Lagrange relaxation; invasive weed optimization; profit based unit commitment; Fuels; Generators; Genetic algorithms; Optimization; Power systems; Sociology; Statistics; Invasive Weed Optimization; Lagrangian Relaxation (LR); Profit; Profit Based Unit Commitment; Revenue;
fLanguage
English
Publisher
ieee
Conference_Titel
Power India International Conference (PIICON), 2014 6th IEEE
Print_ISBN
978-1-4799-6041-5
Type
conf
DOI
10.1109/34084POWERI.2014.7117775
Filename
7117775
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