A proposed controller for real-time management of electrical vehicle battery fleet with MATLAB/SIMULINK

The proliferation of smart grids (SG) has facilitated the seamless integration of Renewable Energy Sources (REs), such as photovoltaic (PV) systems, into traditional grid infrastructure. As governments strive to mitigate the negative impacts of global warming, investment in these transparent energy sources has surged. This work aims to develop a real-time management system utilizing MATLAB/Simulink for the optimization of charging and discharging of Electrical Vehicle (EV) batteries, thereby enhancing their role as auxiliary power sources. The key objectives are power consumption reduction, grid stability improvement, and bidirectional vehicle-to-grid (V2G) and grid-to-vehicle (G2V) power flow. The proposed simulation addresses critical challenges such as voltage and frequency regulations, power loss, and harmonic distortion. By the usage of commercial data, the model considers flexibility for EV owners based on their preferences and represents the power consumption of four EV batteries and four households. Key findings demonstrate that the system effectively maximized the utilization of EV batteries, and voltage regulation, leading to a significant enhancement in grid efficiency and stability besides the significant amount of total power consumption reduction in comparison to uncontrolled condition charging. Moreover, the modified system supports the integration of other distributed energy sources, such as energy storage systems and demand-side management strategies. This paper provides a robust solution for enhancing grid performance with better sustainability through advanced EV battery management.