Optimal Energy Management and Control of a Hybrid PV/Wind System with Storage Integration

This study focuses on the control and energy management of a hybrid photovoltaic (PV)/wind system incorporating grid-connected storage. The energy distribution among the different sources is regulated using a deterministic rule-based approach. The control algorithm is designed to account for all possible operating scenarios of the system. The methodology involves initializing the parameters of the various subsystems along with climatic data (temperature, solar irradiation, and wind speed) at startup. The power imbalance is then ascertained by comparing the load demand to the estimated real-time total power produced by renewable sources. The algorithm determines the proper operating mode based on this disparity. The Matlab/Simulink environment is used to model and simulate the system. The simulation results demonstrate the PV/wind system's dynamic reaction and confirm the efficacy of the control technique.