• DocumentCode
    1758884
  • Title

    Optimal multi-area generation schedule considering renewable resources mix: a real-time approach

  • Author

    Soroudi, Alireza ; Rabiee, Abdorreza

  • Author_Institution
    Fac. of New Sci. & Technol., Univ. of Tehran, Tehran, Iran
  • Volume
    7
  • Issue
    9
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    1011
  • Lastpage
    1026
  • Abstract
    One of the key role players in deregulated electricity markets is a retailer. This study proposes a multi-area dynamic economic dispatch (MA-DED) model for a retailer, taking into account hydrothermal generating units, wind power generation and power pool market, to supply the overall demand of the system for a given horizon. The uncertainties in wind power generations, energy prices and demand of the system are also modelled to make the proposed approach more practical in case of real-time operation of practical power systems. Scenario-based approach is adopted for uncertainty modelling. In order to make the proposed MA-DED applicable in real-time operation of power systems, optimality condition decomposition (OCD) technique is employed along with parallel computation ability. The proposed approach is examined on two interconnected power networks, to demonstrate its applicability for real-time scheduling of joint thermal and undispatchable renewable energy resources. DED, multi-area, OCD, real-time, uncertainty modelling, scenario-based approach.
  • Keywords
    hydrothermal power systems; power generation dispatch; power generation economics; power generation scheduling; power markets; power system interconnection; power system simulation; pricing; renewable energy sources; retailing; wind power plants; MA-DED; OCD; deregulated electricity market; energy pricing; hydrothermal generating unit; interconnected power network; multiarea dynamic economic dispatch model; optimal multiarea generation scheduling; optimality condition decomposition technique; parallel computation ability; power pool market; retailer; scenario-based approach; uncertainty modelling; undispatchable renewable energy resource; wind power generation;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission & Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd.2012.0735
  • Filename
    6584873