Abstract:
The rapid increase in environmental issues lead to the development of Plug-In Electric Vehicle
(PEV). PEVs are environmentally friendly and have a lower operating cost. However, the large scale deployment of PEVs can cause several detrimental effects on power distribution systems. To
address these issues, scheduled charging schemes for PEVs are formulated. Charging of PEVs
using renewable energy sources can reduce the demand on the grid. However, renewable energy
sources are intermittent and require grid connection for reliable power supply. The development
of smart grids and technologies lead to the evolution of nanogrids, which overcome the innate
flaws of conventional power distribution systems. DC nanogrids provide suitable provisions for
the incorporation of sustainable energy sources and PEV charging stations. In this paper, an
optimal PEV charge scheduling algorithm is presented for charging PEV in a DC nanogrid with
solar photovoltaic (PV) system. The charge scheduling algorithm is based on the Time of Use
Price (ToUP) tariff scheme. The algorithm schedules the charging of PEVs in slots with minimum
cost and interrupts the charging during peak hours. The main aim of the charge scheduling
algorithm is to minimize the charging cost of PEVs. The charging of different PEVs using the
scheduling algorithm under different cases were carried out to analyze the reliability and efficacy
of the scheduling algorithm. The algorithm is developed using MATLAB
