• DocumentCode
    647361
  • Title

    Regulation Infrastructure of Wind Farm Power Output Curve Based on ADR Methods of Electrical Vehicles

  • Author

    Xueliang Huang ; Zhechen Huang ; Hao Qiang ; Yi Sun

  • Author_Institution
    Sch. of Electr. Eng., Southeast Univ., Nanjing, China
  • fYear
    2013
  • fDate
    15-18 Oct. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    To reduce the carbon emission, the renewable resources and electrical vehicles (EVs) are promoted. However, the EVs will increase demand for electricity and load of grid, and the renewable resources, especially wind power rely on the weather and cannot provide stable power supply. In this article, we propose a future infrastructure for integrated resource planning(IRP) where EVs are demand side resources and renewable power is supply side resource. Instead of complex algorithms, the infrastructure is expected to do real-time control of the demand resources. With simplified algorithms, the infrastructure gather and transmit data for intermediate process. To illustrate the effects of the infrastructure, we established a model and simulated the regulation results with the data gather from a wind farm. The wind power output was sampled by AMIs in the infrastructure. To reduce the time delay, the demand-side resources reacted to the power variation directly without the traditional link of electricity prices. The dimensionless quantities which were based on variance and peak- valley difference were computed for regulation results assessments.
  • Keywords
    electric vehicles; power grids; power system control; power system planning; wind power plants; ADR; IRP; auto demand response; demand side resources; electrical vehicles; integrated resource planning; real time control; regulation infrastructure; renewable resources; time delay; vehicle-to-grid; wind farm power output curve; wind power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Power and Propulsion Conference (VPPC), 2013 IEEE
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/VPPC.2013.6671703
  • Filename
    6671703