• 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