Intelligent energy management scheme‐based coordinated control for reducing peak load in grid‐connected photovoltaic‐powered electric vehicle charging stations

Solar-based Distributed Generation (DG) powered Electric Vehicles (EVs) charging stations are widely adopted nowadays in the power system networks. In this process, distribution grid faces various challenges caused by intermittent solar irradiance, peak EVs load, while controlling state of charge (SoC) batteries during dis(charging) phenomena. paper, an intelligent energy management scheme (IEMS)-based coordinated control for photovoltaic (PV)-based is proposed. The proposed IEMS optimizes PV generation and utilization EV (EVCS) analysing real-time meteorological load demand data. EMS provides flow between generation, grid, battery storage a manner which results reduction factor two. Further, adaptive neuro-based fuzzy approach includes forecasting solar-based electricity loads predictions to optimize according Indian scenario. optimally utilizes buffer reducing with low losses impact on grid. analysed using digital simulation model validated hardware-in-loop experimental setup.