A coordinated EV charging scheduling containing PV system

The two main reasons for the increase in carbon emissions are the use of fossil fuel resources in the transportation and energy sector. It is possible to reduce these emissions significantly by expanding Electric Vehicles (EVs) in the transportation sector and renewable energy sources (RES) in electric power generation. While the adoption of EVs is still struggling for various reasons, such as battery costs and reduced range, rising fuel prices combined with government policy sanctions and incentives are increasing the need for EVs. The increased penetration of EVs on the grid is likely to pose a very complex operational problem. Therefore, this penetration can result in overloading of the infrastructure equipment in the distribution system and a power outage. This study focuses on the coordinated charge scheduling for EVs with a photovoltaic (PV) system as one of the Renewable energy sources for seamless integration of EVs into the grid. In this paper, charge scheduling of EVs has been made by considering the EV battery state of energy (SoE) value. Mixed Integer Linear programming (MILP) technique is used for the charge scheduling model of EVs. Thus, the charge scheduling of EVs is made within the allowable limits in the grid. It is also a systematic reference work in the proposed approach because of the load balancing of the EVs with the power supplied from the PV system.