Design an Intelligent Grid‐Connected Photovoltaic Electric Vehicle Charging Station to Manage the Power and Energy Performance
Abstract
With the growing adoption of electric vehicle charging systems (EVCS), energy shortages and power performance challenges have become significant concerns. This study developed an intelligent energy management system (EMS) integrated with a photovoltaic (PV) system and utility grid to enhance the operational efficiency and sustainability of EVCS. The proposed system utilizes a novel optimization technique, the Markov decision‐based snake optimization with maximum power point tracking (MDbSO‐MPPT), to effectively manage power and energy performance. The EMS optimizes energy distribution, minimizes grid dependency, and ensures cost‐effective and reliable operation of the charging station. Simulation results demonstrate that the developed system achieves a remarkable 99.8% efficiency, outperforming conventional models with 98% and 99.5% efficiencies. The grid power consumption was also reduced to 63 kW compared to 100 and 182 kW for the benchmarks. The system also optimizes the PV power utilization and battery state of charge, reducing unnecessary grid interactions and improving sustainability. By leveraging renewable Energy and advanced optimization strategies, this intelligent EMS provides a scalable and efficient solution for modern EV charging needs.