Intelligent Controller for Grid Connected by Charging Station towards Achieving Sustainable Development

Abstract

This study suggests power management techniques for a PV storage system that is connected to the grid in an electric vehicle charging station (EVCS). The CS's power control system is where the strategy is intended to be used. To lower energy consumption costs calculated using the electrical grid in stand-alone mode and to minimize stress on existing power, the control relies upon relating to the use of renewable energy sources using an optimization process. The outcomes of a 15kW PV-Grid system's simulation coupled with a load flow of five EVs and a 40 kWh lithium-ion battery are used in this paper to describe the approach in detail. However, this study describes a powerful predictive model that is founded on real-time power monitoring supply and demand. When an effective data connection is made between the CS and the plugged EV. The method to determine the best charging mode also takes into account several other factors, such as the PV array's instantaneous power, the amount of energy in the buffer for battery storage, and the restricted power available from the grid. The source converters for voltage the MPPT algorithm, additionally, the ongoing control loop serves as the foundation for the power forecasting model that has been chosen. The outcomes of the simulation of various scenarios for charging effectively describe the efficiency of the suggested CS, which is used to test the validity of this model.