• DocumentCode
    690755
  • Title

    Strategies of residential peak shaving with integration of demand response and V2H

  • Author

    Long Zhao ; Aravinthan, Visvakumar

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Wichita State Univ., Wichita, KS, USA
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Plug-in electric vehicles (PEVs) have the potential to be used as storage devices to mitigate some of the grid level impacts, especially at the residential level. Since primary usage of electric vehicle battery is for transportation, it is important to optimize the life of the battery and energy discharge to the grid (V2G). The smart grid initiative requires active consumer participation through demand side management. Proper V2G application combined with demand response (DR) could improve some of the system level concerns such as peak shaving and flexible loading. This work proposes a vehicle-to-house (V2H) charge management based on demand side management scheme to minimize the peak loading at each individual house using a model based control design. GridLab-D is used to evaluate the model which shows such a scheme has the potential to reduce the peak.
  • Keywords
    battery powered vehicles; demand side management; smart power grids; DR; GridLab-D model; PEV; V2G; V2H charge management; demand response; demand side management scheme; electric vehicle battery; energy discharge; grid level impact mitigation; model based control design; plug-in electric vehicle; residential peak shaving strategy; smart grid; storage device; transportation; vehicle-to-house charge management; Batteries; Degradation; Home appliances; Load management; Load modeling; System-on-chip; demand response (DR); electric vehicle (EV); peak shaving; vehicle-to-grid (V2G); vehicle-to-home (V2H);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
  • Conference_Location
    Kowloon
  • Type

    conf

  • DOI
    10.1109/APPEEC.2013.6837260
  • Filename
    6837260