Dynamic Charge Allocation of Electric Vehicles Using V2X Communication

Abstract

Electric vehicles are becoming immensely popular as a sustainable means of transport. Due to this expansion, the need to charge these vehicles will also grow and a sufficient number of charging stations need to be established. This puts forward additional challenges to the stability of the grid. Replicating dozens of charging stations with the physical constraints of the city presents itself as a complex problem. Manual and intuitive solution will fall short in satisfying the parameters and optimizing investment and maximizes benefits. A data-driven, research-backed and mathematical optimization-based solution is needed which will account for multiple realistic scenarios and come up with the best possible recommendation. This paper focuses on a method to enable smart charging to reduce infrastructural costs and consumer level costs. The methodology helps to flatten load in distribution networks, minimize losses in transmission, reduces phase imbalances and maximizes consumption of renewables.