Efficient Low-Voltage Ride-Through Nonlinear Backstepping Control Strategy for PMSG-Based Wind Turbine During the Grid Faults
Publish Year: 1397
نوع سند: مقاله ژورنالی
زبان: English
View: 141
This Paper With 10 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JOAPE-6-2_007
تاریخ نمایه سازی: 13 آبان 1402
Abstract:
This paper presents a new nonlinear backstepping controller for a direct-driven permanent magnet synchronous generator-based wind turbine, which is connected to the power system via back-to-back converters. The proposed controller deals with maximum power point tracking (MPPT) in normal condition and enhances the low-voltage ride-through (LVRT) capability in fault conditions. In this method, to improve LVRT capability, machine-side converter controls dc-link voltage and MPPT is performed by grid side converter. Hence, PMSG output power is reduced very fast and dc-link voltage variation is reduced. Due to nonlinear relationship between dc-link voltage and controller input, nonlinear backstepping controller has good performances. By applying the proposed controller, dc-link overvoltage is significantly decreased. The proposed controller has good performance in comparison with Proportional-Integral (PI) controller and Sliding Mode Controller (SMC). In asymmetrical faults, to decrease grid side active power oscillations, the nonlinear backstepping dual-current controller is designed for positive- and negative- sequence components. The simulation results confirm that the proposed controller is efficient in different conditions.
Keywords:
Backstepping controller , Low voltage ride-through (LVRT) , maximum power point tracking (MPPT) , permanent magnet synchronous generator (PMSG) , wind turbine
Authors
M. Nasiri
Department of Electrical Engineering, Faculty of Engineering, Abhar Branch Islamic Azad University, Abhar, Iran
J. Milimonfared
amir kabir university
S. H. Fathi
Department of Electrical Engineering, Amirkabir University of Technology, Tehran ۱۵۸۷۵-۴۴۱۳, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :