CHARGE SCHEDULING OF PLUG-IN ELECTRIC VEHICLES IN DC NANOGRID

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