حاتم عبدالرحيمي

This dissertation presents an innovative methodology for modeling an‎d control of a Brushless Cascaded Doubly-Fed Induction Generator (BCDFIG), intended for stan‎d-alone an‎d distributed generation applications, particularly in wind energy systems. A major contribution of this research is the development of a fully decoupled dynamic model for the power machine an‎d the control machine within the BCDFIG structure. Unlike most previous studies that consider the rotor as a single equivalent unit, the proposed modeling approach explicitly distinguishes the magnetic coupling an‎d dynamic behavior of each machine. This enables a more accurate representation of transient behavior an‎d internal power interactions, providing a reliable foundation for the design of advanced control strategies. A Model Predictive Control algorithm is then developed an‎d implemented for the BCDFIG. In the proposed scheme, the optimal switching state of the inverter is determined at each sampling interval by minimizing a predefined cost function, eliminating the need for PWM modulation an‎d PI controllers used in conventional vector control. The proposed control strategy is simulated in MATLAB/Simulink under six load variation scenarios (0.2 to 1.5 p.u.) an‎d different generator shaft speeds. Simulation results demonstrate a significant improvement in output voltage quality, showing a noticeable reduction in Total Harmonic Distortion (THD) compared to conventional control methods. To experimentally validate the simulation results, a laboratory-scale prototype of the BCDFIG was implemented using an STM32H743IIT6 microcontroller an‎d a DC motor acting as the prime mover. Output voltage signals were recorded under sudden changes in load an‎d input mechanical speed within a one-second time window. The experimental results closely match the simulation outcomes, confirming the accuracy of the proposed modeling approach an‎d the effectiveness of the predictive control scheme in maintaining voltage quality under severe disturbances. In conclusion, the proposed MPC-based control strategy enhances dynamic response, reduces THD, an‎d improves operational efficiency of the BCDFIG in stan‎d-alone wind generation systems. These results demonstrate that MPC is a promising alternative to conventional vector control for next-generation high-performance generator systems.

مدل كنترل پيش بين , ژنراتور دوسو تغذيه ي بدون جاروبك آبشاري , مدل تفكيكي ماشين‌هاي الكتريكي , سيستم هاي قدرت جدا از شبكه , پايداري ديناميكي , اعوجاج هارمونيكي كل

Model Predictive Control (MPC) , Brushless Cascaded Doubly-Fed Induction Generator (BCDFIG) , Decoupled Dynamic Modeling , Stand-alone Power Generation Systems , Dynamic Stability , Total Harmonic Distortion (THD)

Hatam Abdolrahimi

Davood Arab Khaburi