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Electricity-price arbitrage with plug-in hybrid electric vehicle: Gain or loss?

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  • Shang, Duo (Rick)
  • Sun, Guodong

Abstract

Customers, utilities, and society can gain many benefits from distributed energy resources (DERs), including plug-in hybrid electric vehicles (PHEVs). Using battery on PHEV to arbitrage electricity price is one of the potential benefits to PHEV owners. There is, however, disagreement on the magnitude of such profit. This study uses a stochastic optimization model to estimate the potential profit from electricity price arbitrage of two types of PHEVs (PHEV-10, and PHEV-40) under three scenarios with variant electricity tariff and PHEV owners over a five-year period.

Suggested Citation

  • Shang, Duo (Rick) & Sun, Guodong, 2016. "Electricity-price arbitrage with plug-in hybrid electric vehicle: Gain or loss?," Energy Policy, Elsevier, vol. 95(C), pages 402-410.
    • Handle: RePEc:eee:enepol:v:95:y:2016:i:c:p:402-410
    DOI: 10.1016/j.enpol.2016.05.019
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    References listed on IDEAS

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    Cited by:

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    5. Heilmann, C. & Friedl, G., 2021. "Factors influencing the economic success of grid-to-vehicle and vehicle-to-grid applications—A review and meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    6. Mahmoodi-k, Mehdi & Montazeri, Morteza & Madanipour, Vahid, 2021. "Simultaneous multi-objective optimization of a PHEV power management system and component sizing in real world traffic condition," Energy, Elsevier, vol. 233(C).
    7. Zhang, Yajun & Gu, Chenghong & Yan, Xiaohe & Li, Furong, 2020. "Cournot oligopoly game-based local energy trading considering renewable energy uncertainty costs," Renewable Energy, Elsevier, vol. 159(C), pages 1117-1127.
    8. Peng, Xu & Tao, Xiaoma, 2018. "Cooperative game of electricity retailers in China's spot electricity market," Energy, Elsevier, vol. 145(C), pages 152-170.
    9. Schwab, Julia & Sölch, Christian & Zöttl, Gregor, 2022. "Electric Vehicle Cost in 2035: The impact of market penetration and charging strategies," Energy Economics, Elsevier, vol. 114(C).
    10. Xingping Zhang & Yanni Liang & Yakun Zhang & Yinhe Bu & Hongyang Zhang, 2017. "Charge Pricing Optimization Model for Private Charging Piles in Beijing," Sustainability, MDPI, vol. 9(11), pages 1-15, November.
    11. Shang, Duo (Rick), 2017. "Pricing of emergency dynamic microgrid power service for distribution resilience enhancement," Energy Policy, Elsevier, vol. 111(C), pages 321-335.

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