OPTIMIZED ENERGY MANAGEMENT WITH CLOSED-LOOP CONTROL FOR HYBRID WIND-SOLAR-BATTERY MICROGRIDS

A Fuzzy-Based Energy Management System (EMS) for a Hybrid Wind-Solar-Battery System aims to efficiently manage the power generated from multiple renewable sources and a battery storage system.The system uses a Fuzzy Logic Controller (FLC) to determine how to distribute power between these components based on certain input parameters such as Battery State of Charge (SOC), available renewable energy, and load demand.The system design depends on the type of energy conversion system and the type of converters used at different locations in the system, this needs a lot of technical attention and has attracted research in this area.A hybrid energy system was simulated and the performance for different practical load demand profile and weather data was studied.The simulation system of a coordinated control for microgrid energy management in standalone and grid connected modes is discussed.A hybrid wind-solar battery ESS system is simulated to test the state of charge (SOC) control.A scaled hardware prototype with battery SOC control scheme to improve the DC grid voltage control for stand-alone DC microgrid was developed.