Designing a reliable electric vehicle charging station expansion under uncertainty

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

International Journal of Production Economics, 2021, vol. 236, issue C

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.

Keywords: Charging stations; Electric vehicles; Disruption prevention; Stochastic optimization; Sample average approximation (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:236:y:2021:i:c:s0925527321001080

DOI: 10.1016/j.ijpe.2021.108132

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