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Impact of plug-in hybrid electric vehicles on power systems with demand response and wind power

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Listed:
  • Wang, Jianhui
  • Liu, Cong
  • Ton, Dan
  • Zhou, Yan
  • Kim, Jinho
  • Vyas, Anantray
Abstract
This paper uses a new unit commitment model which can simulate the interactions among plug-in hybrid electric vehicles (PHEVs), wind power, and demand response (DR). Four PHEV charging scenarios are simulated for the Illinois power system: (1) unconstrained charging, (2) 3-hour delayed constrained charging, (3) smart charging, and (4) smart charging with DR. The PHEV charging is assumed to be optimally controlled by the system operator in the latter two scenarios, along with load shifting and shaving enabled by DR programs. The simulation results show that optimally dispatching the PHEV charging load can significantly reduce the total operating cost of the system. With DR programs in place, the operating cost can be further reduced.

Suggested Citation

  • Wang, Jianhui & Liu, Cong & Ton, Dan & Zhou, Yan & Kim, Jinho & Vyas, Anantray, 2011. "Impact of plug-in hybrid electric vehicles on power systems with demand response and wind power," Energy Policy, Elsevier, vol. 39(7), pages 4016-4021, July.
    • Handle: RePEc:eee:enepol:v:39:y:2011:i:7:p:4016-4021
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    References listed on IDEAS

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    1. Göransson, Lisa & Karlsson, Sten & Johnsson, Filip, 2010. "Integration of plug-in hybrid electric vehicles in a regional wind-thermal power system," Energy Policy, Elsevier, vol. 38(10), pages 5482-5492, October.
    2. Wang, Jianhui & Bloyd, Cary N. & Hu, Zhaoguang & Tan, Zhongfu, 2010. "Demand response in China," Energy, Elsevier, vol. 35(4), pages 1592-1597.
    3. Sovacool, Benjamin K. & Hirsh, Richard F., 2009. "Beyond batteries: An examination of the benefits and barriers to plug-in hybrid electric vehicles (PHEVs) and a vehicle-to-grid (V2G) transition," Energy Policy, Elsevier, vol. 37(3), pages 1095-1103, March.
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