Integrated Control and Energy Flow Management in Hybrid Stand-Alone Photovoltaic/Wind Systems with Battery Storage Using Fuzzy Logic Controllers

This paper addresses the control and management of an energy conversion system within a stand-alone microgrid, comprising various renewable energy sources, DC/DC, DC/AC converters and a storage system. Different control objectives are defined, such as energy availability, load demand, and storage system state of charge. To meet these scenarios, an energy flow management system is developed in this work. The primary roles of this management algorithm are to ensure the safety of all microgrid components, increase the lifetime of the storage system, and improve energy efficiency. To achieve these objectives, multiple control loops are designed based on fuzzy logic controllers to guarantee appropriate system operating modes. The effectiveness of this control and energy management strategy is evaluated using the MATLAB/Simulink/Simpower environment, demonstrating its ability to achieve the specified objectives.