Optimal power management in a grid-connected PV-based Electric Vehicle Charging Station: The AGOA Approach

Optimal power management in a grid-connected PV-based electric vehicle charging station is achieved by designing a robust power system model. The proposed model is designed by combining an integrated converter, a maximum PowerPoint tracker (MPPT), and an efficient controller with an effective control scheme. The proposed controller is designed using the adaptive grasshopper optimization algorithm (AGOA). The proposed controller delivers precise control signals for optimal switching in the system and creates a database of control signals for optimal power flow in the system. The proposed model is run in the MATLAB/Simulink environment, and the efficiency of the system is compared with other existing methods.