Energy Management of Hybrid Solar-Wind Power with V2G Technology Using Coordinated Fuzzy-Controlled SMES

This study delves into the effects of integrating electric vehicles (EVs) into power networks, enriched with photovoltaic (PV) systems and wind turbines, alongside energy storage solutions. With the uptick in EV adoption aimed at reducing CO2 emissions and fossil fuel use for environmental benefits, this paper offers a comprehensive comparison of EV integration techniques in the context of PV and wind energy systems, and superconducting magnetic energy storage (SMES) systems. It addresses challenges such as power loss, voltage instability, load balancing, and reactive power compensation across varying scenarios; hence, unveiling the pivotal role of SMES in enhancing grid resilience. A coordinated control strategy based-fuzzy logic control is proposed for optimizing the charging/discharging activities of SMES units and EV batteries, aiming to enhance grid management and efficiency. The FLC crucial function hinges on the electricity price and the active power signals at the grid-interface with devices and residential loads. This proposed control system meticulously orchestrates power sharing among the PV and wind systems, EVs, and the SMES, promoting optimal grid performance. The effectiveness of this integrated control framework is validated through simulation analyses using Matlab/Simulink, showcasing improvements in power system dynamics, stability, and overall sustainability.