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
Link To Document :
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