A Novel Model Predictive Controller Based Power Management Plan for Grid Connected Photo Voltaic Systems with Hybrid Energy Storage

The increasing penetration of renewable energy sources (RESs) in the distribution system presents challenges in ensuring power quality, stability, and reliable operation. The intermittent nature of photovoltaic (PV) energy, coupled with unpredictable load variations, necessitates an advanced energy management strategy. This paper proposes a Model Predictive Control (MPC)-based energy management system for a grid-connected PV system integrated with a hybrid energy storage system (HESS) consisting of a battery and a supercapacitor. The supercapacitor handles transient power fluctuations, while the battery manages long-term energy storage, thereby enhancing system stability and efficiency. The proposed control strategy ensures optimal power distribution by considering the state of charge (SOC) of the battery while effectively smoothing PV power variations. Additionally, the use of a supercapacitor reduces battery stress, extending its lifespan. The effectiveness of the proposed energy management scheme is validated through simulation studies, demonstrating improved DC-link voltage stability and enhanced power quality.