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Designing a reliable electric vehicle charging station expansion under uncertainty

Author

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  • Quddus, Md Abdul
  • Shahvari, Omid
  • Marufuzzaman, Mohammad
  • Ekşioğlu, Sandra D.
  • Castillo-Villar, Krystel K.

Abstract

This study proposes a novel disruption prevention model that considers both long-term expansion decisions and short-term operational decisions to design and manage an electric vehicle charging station network under power demand uncertainty. A non-linear term is introduced into the model to prevent the evolution of excessive temperature on a power line under different exogenous factors (e.g., outside temperature, air velocity). We first linearize the model using extensions of McCormick relaxation technique and then solve using a combined Sample Average Approximation with a Scenario Decomposition algorithm. A real life case study is presented to draw a several key managerial insights. It is observed that the disruption prevention model is able to reduce 16% overall system cost upon a power outage. The results of the analysis help decision-makers achieving a more reliable and cost-effective electricity supply network.

Suggested Citation

  • Quddus, Md Abdul & Shahvari, Omid & Marufuzzaman, Mohammad & Ekşioğlu, Sandra D. & Castillo-Villar, Krystel K., 2021. "Designing a reliable electric vehicle charging station expansion under uncertainty," International Journal of Production Economics, Elsevier, vol. 236(C).
    • Handle: RePEc:eee:proeco:v:236:y:2021:i:c:s0925527321001080
    DOI: 10.1016/j.ijpe.2021.108132
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