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Hasan, Hayder Ali. (1403). Advanced Sliding Mode Control Tuned with a PSO Algorithm for Wind Power Systems: Performance and Efficiency Enhancement. سامانه مدیریت نشریات علمی, 12(Special Issue), 89-99. doi: 10.22098/joape.2025.17195.2350
Hayder Ali Hasan. "Advanced Sliding Mode Control Tuned with a PSO Algorithm for Wind Power Systems: Performance and Efficiency Enhancement". سامانه مدیریت نشریات علمی, 12, Special Issue, 1403, 89-99. doi: 10.22098/joape.2025.17195.2350
Hasan, Hayder Ali. (1403). 'Advanced Sliding Mode Control Tuned with a PSO Algorithm for Wind Power Systems: Performance and Efficiency Enhancement', سامانه مدیریت نشریات علمی, 12(Special Issue), pp. 89-99. doi: 10.22098/joape.2025.17195.2350
Hasan, Hayder Ali. Advanced Sliding Mode Control Tuned with a PSO Algorithm for Wind Power Systems: Performance and Efficiency Enhancement. سامانه مدیریت نشریات علمی, 1403; 12(Special Issue): 89-99. doi: 10.22098/joape.2025.17195.2350

Advanced Sliding Mode Control Tuned with a PSO Algorithm for Wind Power Systems: Performance and Efficiency Enhancement

Journal of Operation and Automation in Power Engineering
دوره 12، Special Issue، 2024، صفحه 89-99    اصل مقاله (4.55 M)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2025.17195.2350
نویسنده
Hayder Ali Hasan*
AL-Furat AL-Awsat Technical University, Najaf, Iraq.
چکیده
Wind energy systems based on Doubly-Fed Induction Generators are increasingly deployed due to their efficiency and cost-effectiveness. However, ensuring high power quality, system stability, and robustness under wind variability remains a challenge. This paper addresses these issues by proposing an improved Integral Sliding Mode controller, whose gains are optimized offline using the Particle Swarm Optimization algorithm. The control scheme regulates generator speed, DC-link voltage, and stator currents through a combined proportional-integral-sliding control law, reducing chattering while enhancing dynamic performance. The proposed ISM controller was implemented on both the rotor-side and grid-side converters of a DFIG-based wind energy conversion system. Simulation results under varying and extreme wind conditions confirm the superiority of the ISM controller over conventional PI control. Notably, the ISM reduced generator speed tracking error by over 75%, achieving a Root Mean Square Error of 1.06 rad/s. It also lowered stator current Total Harmonic Distortion to below 0.85%, improved turbine efficiency to 93.6%, and minimized electromagnetic torque ripple by more than 60%. In extreme wind conditions, the controller maintained stability and compliance with grid standards, with only minor degradation in performance. Overall, the proposed ISM controller demonstrates strong potential for improving power quality, reliability, and efficiency in modern wind power systems. Future work will explore adaptive gain tuning and experimental validation to further enhance real-time applicability and practical deployment in field conditions.
کلیدواژه‌ها
Wind energy conversion system؛ doubly-fed induction generator؛ integral sliding mode control؛ particle swarm optimization؛ power quality؛ total harmonic distortion؛ robust control
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