Dual-mode optimal predictive control of a wind driven multi-phase PMSG: A hybrid approach to grid and standalone applications

Renewable energy sources (RES) have been receiving much interest as an achievable solution to the world's environmental problems. The aim of the present paper is to design a predictive control strategy that enhances the quality of generated power from a wind turbine system. The study begins by thoroughly describing the system model, encompassing the wind turbine, the five-phase PMSG, and the integrated battery system. Subsequently, optimization technique such as MPPT is applied to maximize the wind power. A comprehensive investigation is conducted on the performance of a wind energy conversion system (WECS) under two modes of operation: grid connection, and standalone which is integrated with a battery bank and a bi-directional converter. The proposed predictive voltage control (PVC) algorithm demonstrated superior dynamic response and significantly reduced ripple fluctuations compared to the well-known predictive torque control (PTC) and predictive current control (PCC). The analysis further revealed that the PVC algorithm successfully minimized voltage oscillations and current harmonics without relying on machine parameter variations, which contributes to a more stable and efficient operation. Through simulations, the controller's capacity to regulate electrical power between the generator, load, and battery was demonstrated, showing balanced and seamless charging and discharging operations. Overall, the findings confirm that the proposed PVC approach enhances the operational efficiency of WECS by improving power quality, minimizing system dependability, and ensuring robust power flow management. These outcomes provide a strong foundation for implementing this control strategy in practical applications, advancing the performance and dependability of renewable energy systems. In summary, the proposed PVC demonstrated superior performance in comparison with other control techniques; this has been translated in the form of THD reduction with percentages of 60 % compared to PTC and 28 % compared to PCC. Additionally, the computation burden with the proposed PVC recorded a reduction with percentages of 28.3 % compared to PTC and 23 % compared to PCC.