• DocumentCode
    680507
  • Title

    Wind-thermal economic and environmental scheduling incorporating Demand Response

  • Author

    Heydarian-Forushani, Ehsan ; Kalantar, Mohsen ; Parsafar, A.

  • Author_Institution
    Center of Excellence for Power Syst. Autom. & Oper., Iran Univ. of Sci. & Technol., Tehran, Iran
  • fYear
    2013
  • fDate
    17-18 Dec. 2013
  • Firstpage
    36
  • Lastpage
    40
  • Abstract
    Since concern about environmental issues has grown, the power system is faced with a considerable penetration of renewable energy resources in the recent years. Wind power is recognized as a clean and economical option among all the renewables. The stochastic nature of wind generation is the most important challenge which imposes considerable technical and economic damages to Independent System Operators (ISOs). In this paper, Demand Response Programs (DRPs) are introduced as a powerful measure in order to manage wind generation variability and improve system operation. On this basis, a cost-emission based Network-Constrained Unit Commitment (NCUC) problem incorporating DR (NCUCDR) is developed. The IEEE-RTS is selected as a test case for numerical studies. The numerical results demonstrate the effectiveness of the proposed model as well as highlight the role of DR in efficient operation of the system.
  • Keywords
    IEEE standards; environmental economics; hybrid power systems; power generation dispatch; power generation economics; power generation scheduling; thermal power stations; wind power plants; IEEE-RTS; NCUC problem; NCUCDR; cost-emission based network-constrained unit commitment; demand response; demand response programs; economical option; environmental issues; independent system operators; power system; renewable energy resources; system operation; wind generation; wind generation variability; wind power; wind-thermal economic environmental scheduling; Economics; Electricity; Load management; Power systems; Spinning; Wind; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Conference (SGC), 2013
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4799-3039-5
  • Type

    conf

  • DOI
    10.1109/SGC.2013.6733795
  • Filename
    6733795