Power Flow Management and Control of Energy Storage System for Electric Vehicles in Smart Girds

Abstract

Electric vehicles (EVs) have a huge development, which lead to decrease the fuel consumptions, emissions, and help in keeping the environment clean but, this development has an impact on distribution systems operation in case of the plug-in hybrid electric vehicles (PHEVs) which may not well managed. Subsequently, it is critical to select the ideal charging/discharging methods. A fuzzy logic controller (FLC) system is proposed to decide the charging/discharging priority level of each electric vehicle (EV) based on the associated state-ofcharge (SOC) level of the battery. The fuzzy logic controller is utilized to control the electric vehicle (EV) charging/discharging process to achieve the benefits of the electricity network and electric vehicles (EVs) owners, as well. The benefit of the electricity network is related to improving the voltage profile. The simulation of a Vehicle-to-Grid (V2G) System is chosen as a case study in this paper to execute simulations. The methodology is based on plug-in hybrid electric vehicles (PHEVs). The power flow control and the Powertrain component sizing are emphatically related to their design will significantly influence the vehicle performance, cost, efficiency, and fuel economy. Subsequently, it is essential to evaluate the power flow management methodology at the Powertrain design stage in order to minimize component sizing, cost, and the vehicle fuel consumption for a given driving cycle. The simulation results show the effectiveness of the fuzzy logic controller strategy for hybrid energy storage in distributing power flow between the ultra-capacitors and the batteries.

A Bioinspired Emergent Control for Smart Grids

“…They identified shortcomings in current researches concerning demand-side management and highlighted future research horizons. In the work of Abou El-Ela et al [18], a fuzzy logic controller (FLC) system is proposed to decide the charging/discharging priority level of each EV based on the state-of-charge (SOC) level of its battery. Mathur et al [19] presented different technologies available for EV integration in the MG community.…”