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Demand Response and Economic Dispatch of Power Systems Considering Large-Scale Plug-in Hybrid Electric Vehicles/Electric Vehicles (PHEVs/EVs): A Review

Author

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  • Wei Gu

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Haojun Yu

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Wei Liu

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Junpeng Zhu

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Xiaohui Xu

    (China Electric Power Research Institute, Nanjing 210000, China)

Abstract

Increasing concerns about global environmental issues have led to the urgent development of green transportation. The enthusiasm of governments should encourage the prosperity of the plug-in hybrid electric vehicles/electric vehicles (PHEVs/EVs) industry in the near future. PHEVs/EVs are not only an alternative to gasoline but are also burgeoning units for power systems. The impact of large-scale PHEVs/EVs on power systems is of profound significance. This paper discusses how to use PHEVs/EVs as a useful new tool for system operation and regulation from a review of recent studies and mainly considers two mainstream methods: demand response and economic dispatch. The potential of using PHEVs/EVs to coordinate renewable energy resources is also discussed in terms of accepting more renewable resources without violating the safety and the reliability of power systems or increasing the operation cost significantly.

Suggested Citation

  • Wei Gu & Haojun Yu & Wei Liu & Junpeng Zhu & Xiaohui Xu, 2013. "Demand Response and Economic Dispatch of Power Systems Considering Large-Scale Plug-in Hybrid Electric Vehicles/Electric Vehicles (PHEVs/EVs): A Review," Energies, MDPI, vol. 6(9), pages 1-24, August.
  • Handle: RePEc:gam:jeners:v:6:y:2013:i:9:p:4394-4417:d:28291
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    References listed on IDEAS

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    Cited by:

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    5. Anand, M.P. & Golshannavaz, Sajjad & Ongsakul, Weerakorn & Rajapakse, Athula, 2016. "Incorporating short-term topological variations in optimal energy management of MGs considering ancillary services by electric vehicles," Energy, Elsevier, vol. 112(C), pages 241-253.
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    8. Yang, Zhile & Li, Kang & Foley, Aoife, 2015. "Computational scheduling methods for integrating plug-in electric vehicles with power systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 396-416.

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