Electrical Vehicle Charging Coordination Algorithms Framework

Nhan Quy Nguyen (1) , Farouk Yalaoui (1) , Lionel Amodeo (1) , Hicham Chehade (1) , Pascal Toggenburger (2)

1 LOSI - Laboratoire d'Optimisation des Systèmes Industriels
2 Park'nPlug

The coordination of the electrical vehicles (EV) charging becomes an important research subject in the actual context with the growth of the EV usage. This is due to the harmful impacts of the grid and the overspending price of uncoordinated charging procedure. This work tries to provide a framework to configure and formulate the EV charging problem by the theoretical research on scheduling problem with an additional resource. Given the numerous works in the both domains, this would be advantageous to address such a general algorithm framework. This chapter also introduces our configurations, named ACPF/ACPV, to formulate and solve an actual EV charging problem for residential parking—our case study. The purpose of this case study is to illustrate how the framework would be implemented for real-life cases.

Domains: Computer Science [cs]; Data Structures and Algorithms [cs.DS]

Nhan Quy Nguyen, Farouk Yalaoui, Lionel Amodeo, Hicham Chehade, Pascal Toggenburger. Electrical Vehicle Charging Coordination Algorithms Framework. Energy Management—Collective and Computational Intelligence with Theory and Applications, 149, pp.357-373, 2018, Studies in Systems, Decision and Control (SSDC), ⟨10.1007/978-3-319-75690-5_16⟩. ⟨hal-03260943⟩