Comparative analysis of coordination strategies for electric vehicles

Abstract

This paper gives a structured literature overview of coordinated charging of electric vehicles (EVs). The optimization objective, scale and method of each coordination strategy are the three parameters used to characterize and compare different approaches. The correlation between the three parameters and the research category are investigated, resulting in a correlation mapping of the different approaches.

A case study of coordinated electric vehicle charging for peak shaving on a low voltage grid

“…Within the EV work package of the LINEAR project [6], a literature on coordination strategies was performed [7]. This study establishes that a significant amount of research has already been performed on coordinated charging of EVs.…”

A network controlled load management scheme for domestic charging of electric vehicles

“…However, many of them assume perfect knowledge of vehicle behaviors to solve for the optimization objectives [7]. A number of the recent works (e.g., Deilami et al [8]) adopt variable rate step-charging methods to obtain better accuracy by reducing the effective optimization period.…”

Computational scheduling methods for integrating plug-in electric vehicles with power systems: A review

“…For example, Hota et al [25] surveyed different control and optimisation problems including charging and scheduling of PEVs for applications in renewable energy integration, participation in electricity markets, infrastructure and smart parking. Leemput et al [37] grouped the literature by three parameters: optimisation objectives, scale of PEVs and method of each coordination strategy. Al-Alawi and Bradley [38] reviewed a suite of analytical and computational modelling methods considering the consumer acceptability under a variety of policy and macroeconomic.…”