Smart Grid-Optimized Bidirectional EV Charging: A Hybrid Metaheuristic Approach

Smart grid with electric vehicle (EV) integration changes the pace of the new age power system. The bidirectional power flow is the major pros of modern smart grid. When EV connected to the local home electrical grid, the charger functions using a metaheuristic control. Additionally, the charger is constructed and maintained to function effectively under EV-smart grid integration. Electric vehicles' (EVs’) ideal charge-discharge performance is one way to improvise such consumer involvement. For the best performance of EVs in smart grid, this research presents a hybrid Meta heuristic approach that clubs the gravitational search algorithm and particle swarm optimization. Matlab/Simulink is used to simulate the entire system, and the outcomes of each case's operation are displayed along with a management system for these various working scenarios. The review and evaluation of the simulation results demonstrate that they adhere to current requirements for power quality.