Adaptive Energy Management in Hybrid PV-Wind-Diesel-Battery Systems under Varying Irradiance and Load Conditions

This research paper delves into the energy management of a hybrid system containing PV modules, wind turbines, a diesel generator, and battery storage, simulated using MATLAB. The primary focus is on optimizing the power flow between these diverse energy sources to ensure reliable and efficient operation. The incorporation of non-conventional resources with conventional diesel generators presents challenges in balancing supply and demand, particularly under varying weather conditions and load demands. The suggested energy management system (EMS) aims to minimize the reliance on the diesel generator by maximizing the use of renewable energy and efficiently utilizing battery storage. Advanced control strategies, including maximum power point Tracking (MPPT) for photovoltaic (PV) and wind energy conversion system (WECS), are employed to enhance the overall performance. The EMS dynamically adjusts the power distribution based on real-time data, thereby reducing fuel consumption and emissions from the diesel generator. Simulation outcomes demonstrate the efficacy of the EMS in maintaining a stable and efficient power supply, showcasing significant improvements in fuel savings and system reliability. This study highlights the possibility for combining non-conventional resources with conventional power generation techniques to provide resilient and sustainable energy solutions, offering insightful information on the planning and execution of hybrid energy systems.