• DocumentCode
    1720411
  • Title

    Economic Load Dispatch Optimization of Renewable Energy in Power System Using Genetic Algorithm

  • Author

    Warsono ; King, D.J. ; Özveren, C.S. ; Bradley, D.A.

  • Author_Institution
    Univ. of Abertay, Dundee
  • fYear
    2007
  • Firstpage
    2174
  • Lastpage
    2179
  • Abstract
    The inclusion of a significant amount of renewable energy into power systems has resulted in additional constraints on economic load dispatch (ELD) to accommodate the intermittent nature of the output. This condition may not match with system load demand or current trading mechanisms in a power system. A genetic algorithm (GA) method using ´negative load´ and ´inclusive´ approach is proposed and discussed.
  • Keywords
    genetic algorithms; load dispatching; power system economics; current trading mechanisms; economic load dispatch optimization; genetic algorithm; power system; renewable energy; Genetic algorithms; Power generation; Power generation economics; Power system economics; Power systems; Renewable energy resources; Solar power generation; Wind energy; Wind energy generation; Wind forecasting; economic load dispatch (ELD); genetic algorithm (GA); renewable energy; wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech, 2007 IEEE Lausanne
  • Conference_Location
    Lausanne
  • Print_ISBN
    978-1-4244-2189-3
  • Electronic_ISBN
    978-1-4244-2190-9
  • Type

    conf

  • DOI
    10.1109/PCT.2007.4538655
  • Filename
    4538655
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1720411