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Online scheduling and pricing for electric vehicle charging

Author

Listed:
  • Mark M. Nejad
  • Lena Mashayekhy
  • Ratna Babu Chinnam
  • Daniel Grosu

Abstract

We design strategy-proof online scheduling and pricing mechanisms for Electric Vehicle (EV) charging in a competitive environment. EV drivers submit their requests for charging services dynamically over time, and they can name their own price on the charging services. The mechanisms schedule EV charging and determine charging prices considering the incentives of both EV drivers and power providers. In addition, our proposed online mechanisms do not assume availability of information about future demand. Our charging mechanisms are preemption aware, allowing flexibility on when charging takes place. This is in alignment with power providers’ load-balancing goals. We perform extensive experiments to investigate the performance of our proposed mechanisms compared to that of the optimal offline mechanism. We analyze the various properties of our proposed mechanisms, in particular, we prove that they are strategy proof; that is, truthful reporting of price and amount of charging is a dominant strategy for self-interested EV drivers.

Suggested Citation

  • Mark M. Nejad & Lena Mashayekhy & Ratna Babu Chinnam & Daniel Grosu, 2017. "Online scheduling and pricing for electric vehicle charging," IISE Transactions, Taylor & Francis Journals, vol. 49(2), pages 178-193, February.
    • Handle: RePEc:taf:uiiexx:v:49:y:2017:i:2:p:178-193
    DOI: 10.1080/0740817X.2016.1213467
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    Citations

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    Cited by:

    1. Xiaolin Chu & Yuntian Ge & Xue Zhou & Lin Li & Dong Yang, 2020. "Modeling and Analysis of Electric Vehicle-Power Grid-Manufacturing Facility (EPM) Energy Sharing System under Time-of-Use Electricity Tariff," Sustainability, MDPI, vol. 12(12), pages 1-27, June.
    2. Trivikram Dokka & Jorge Bruno & Sonali SenGupta & Chowdhury Mohammad Sakib Anwar, 2022. "Pricing and Electric Vehicle Charging Equilibria," Papers 2210.15035, arXiv.org, revised Dec 2022.
    3. Dokka, Trivikram & Bruno, Jorge & SenGupta, Sonali & Anwar, Sakib, 2022. "Pricing and Electric Vehicle Charging Equilibria," QBS Working Paper Series 2022/10, Queen's University Belfast, Queen's Business School.
    4. Mark M. Nejad & Lena Mashayekhy & Daniel Grosu & Ratna Babu Chinnam, 2017. "Optimal Routing for Plug-In Hybrid Electric Vehicles," Transportation Science, INFORMS, vol. 51(4), pages 1304-1325, November.
    5. Shen, Zuo-Jun Max & Feng, Bo & Mao, Chao & Ran, Lun, 2019. "Optimization models for electric vehicle service operations: A literature review," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 462-477.

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