• DocumentCode
    3765134
  • Title

    Multi-objective optimum generation scheduling using Ant Lion Optimization

  • Author

    Nitish Chopra;Shivani Mehta

  • Author_Institution
    Electrical department, D.A.V.I.E.T, Jalandhar, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents ant lion optimization method for multi-objective optimum generation scheduling problem (MOGS) in various test power systems. Ant Lion Optimization (ALO) is a novel meta-heuristic motivated by hunting mechanism of ant lions in nature. Diverse emission gases considered for the case studies are SOx, NOx and COx. The proposed technique is applied on different test systems for solving the MOGS. Comparison of the obtained results is carried out with other techniques stated in literature which shows that ALO is effective to solve MOGS.
  • Keywords
    "Optimal scheduling","Generators","Job shop scheduling","Fuels","Partial discharges","Mathematical model","Economics"
  • Publisher
    ieee
  • Conference_Titel
    India Conference (INDICON), 2015 Annual IEEE
  • Electronic_ISBN
    2325-9418
  • Type

    conf

  • DOI
    10.1109/INDICON.2015.7443839
  • Filename
    7443839
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3765134