• DocumentCode
    715080
  • Title

    Employing price-responsive PEVs in microgrid: Optimal operations and security management

  • Author

    Abedi, Sajjad ; Miao He ; Fatemi, Seyed Masoud

  • Author_Institution
    Electr. & Comput. Eng., Texas Tech Univ., Lubbock, TX, USA
  • fYear
    2015
  • fDate
    18-20 Feb. 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Penetration of Plug-in Electric Vehicles (PEVs) parking lots into distribution systems and microgrids offers useful decision tools for improving energy management and operations of power systems. In this paper, with an objective to minimize the operation cost while subject to the system, unit and security constraints, a microgrid energy management scheme is proposed, by taking into account PEVs throughout the grid as distributed storage responsive to the nodal prices. The presented method comprises the ex-ante optimal dispatch to minimize the anticipated operation cost, followed by a near real-time dispatch to manage the violation of security constraints regarding any congestion and voltage limit in the microgrid. The second dispatch, as recourse to the ex-ante dispatch, aims to minimize the operation cost and the deviation from the ex-ante dispatch decisions, while any possible binding constraint occurred in the ex-ante dispatch is mitigated. Simulation results on a test microgrid system demonstrate that the presented scheme can effectively ensure secure and economic operations of the microgrid as well as the risk reduction of the ex-ante decisions.
  • Keywords
    distributed power generation; electric vehicles; pricing; distributed storage; distribution system; ex-ante dispatch; microgrid energy management scheme; optimal operations; plug-in electric vehicles penetration; price-responsive PEV; security management; Aggregates; Economics; Energy management; Load flow; Microgrids; Real-time systems; Security; Plug-in Electric Vehicle (PEV); energy management; microgrid; nodal pricing; power system security; price-responsive demand;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/ISGT.2015.7131779
  • Filename
    7131779