Computational Management Science

Aussel, Didier; Latchoomun, Lekhramsingh; Nourmohammadi, Zahra; Rey, David; Saberi, Meead

doi: 10.1007/s10287-026-00562-9pmid: N/A

The optimal location of charging stations for electric vehicles (EV) is a challenging problem which plays an important role in the development of electric mobility for a country. It has been widely studied in the continental context. However, in the case of an island, the specific features of the transport and energy production capacity raise the need for the development of adapted approaches. This research work proposes an optimal location model and a solution approach which takes into account small island features to deploy a green-charging infrastructure for EVs. It focuses on the maximization of the demand captured, over the possible locations and configurations of green charging stations. A customized, exact outer-approximation branch-and-cut algorithm has been developed to solve this optimization problem. This optimal location model is applied to a case study based on Mauritius island which is a well suited example of SIDS’s (Small Islands Developing States) vulnerability to energy and transport problems. A comprehensive analysis has been carried out to explore the viability of green-charging for EVs in Mauritius. Results show that the green strategy developed for the deployment of charging stations is pertinent in an island context whereby a maximum demand capture of 69% can be achieved with a budget ratio of 0.4 and a minimum capacity ratio of 0.2.