Designing a reliable electric vehicle charging station expansion under uncertainty

摘要

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.