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A collaborative energy sharing optimization model among electric vehicle charging stations, commercial buildings, and power grid

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  • Quddus, Md Abdul
  • Shahvari, Omid
  • Marufuzzaman, Mohammad
  • Usher, John M.
  • Jaradat, Raed

Abstract

This paper studied a collaborative decision model to optimize electricity flow among commercial buildings, electric vehicle (EV) charging stations, and the grid under power demand uncertainty. We propose a two-stage stochastic programming model that realistically captures different operational constraints between multiple commercial buildings and EV charging stations. We developed a customized solution approach based on Sample Average Approximation method that can solve the proposed model efficiently and accurately. Finally, a real-life case study is constructed that draws managerial insights into how different key input parameters (e.g., grid power unavailability, power collaboration restriction) affect the overall energy network design and cost.

Suggested Citation

  • Quddus, Md Abdul & Shahvari, Omid & Marufuzzaman, Mohammad & Usher, John M. & Jaradat, Raed, 2018. "A collaborative energy sharing optimization model among electric vehicle charging stations, commercial buildings, and power grid," Applied Energy, Elsevier, vol. 229(C), pages 841-857.
    • Handle: RePEc:eee:appene:v:229:y:2018:i:c:p:841-857
    DOI: 10.1016/j.apenergy.2018.08.018
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