A Location Problem of Fast Charging Stations Considering Congestion. Issue 3 (31st December 2017)

• Record Type: Journal Article
• Authors: Yang, Woosuk
• Is Part Of: Journal of international logistics and trade. Volume 15:Issue 3(2017)
• Page Start: 91
• Page End: 101
• Publication Date: 2017-12-31
• Subjects: Electric vehicle -- Fast charging -- Location problem -- Congestion; International trade -- Periodicals; Business logistics -- Periodicals; Commerce international -- Périodiques; Logistique (Organisation) -- Périodiques; Business logistics; International trade; Periodicals; 382.05
• DOI: 10.24006/jilt.2017.15.3.91
• Languages: English
• ISSNs: 1738-2122

Abstract

Abstract : This paper considers locating congested fast charging stations (FCSs) and deploying chargers in a stochastic environment, while the related studies have predominantly focused on problems in deterministic environments. Reducing the inconvenience caused by congestion at FCSs is an important challenge for FCS service provider. This is the underlying motivation for this study to consider a problem for FCS network design with the congestion restriction in a stochastic environment. We proposed a maximal coverage problem subject to budget constraints and a congestion restriction in order to maximize the demand coverage. With the derivation of the congestion restriction in the considered stochastic environment, the problem is formulated into an integer programming model. A real-life case study is conducted and managerial implications are drawn from its results.