دانلود مقاله ISI انگلیسی شماره 56229
ترجمه فارسی عنوان مقاله

طراحی و پیاده سازی زمان حقیقی کنترل برداری فازی نوع 2 برای ژنراتورهای بادی بر مبنای ژنراتور القایی دو سو تغذیه

عنوان انگلیسی
Design and real time implementation of type-2 fuzzy vector control for DFIG based wind generators
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
56229 2016 11 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Renewable Energy, Volume 88, April 2016, Pages 40–50

ترجمه کلمات کلیدی
DFIG؛ ادغام شبکه؛ سخت افزار در حلقه؛ کنترل منطق فازی اینتروال نوع 2 ؛ RTDS؛
کلمات کلیدی انگلیسی
DFIG; Grid integration; Hardware in loop; Interval Type-2 fuzzy logic control; RTDS; Type-1 FLC
پیش نمایش مقاله
پیش نمایش مقاله  طراحی و پیاده سازی زمان حقیقی کنترل برداری فازی نوع 2 برای ژنراتورهای بادی بر مبنای ژنراتور القایی دو سو تغذیه

چکیده انگلیسی

Doubly fed induction generator is very sensitive to voltage variations in the grid, which pose limitation for wind power plants during the grid integrated operation. Handling the uncertainity in wind speed and grid faults is a major challenge to fulfill the modern grid code requirements. This paper proposes a new control strategy for Rotor side converter using Interval type-2 fuzzy sets which can model and handle uncertainties in the system parameters. The presence of third dimension in the membership function, offers an additional degree of freedom in the design of the controller to counter the effects of fluctuations in wind speed and low voltage during severe grid fault conditions. A 2 MW DFIG connected to the grid is modelled in simulation software RSCAD and interfaced with Real time digital simulator (RTDS) to perform the simulations in real-time. The RTDS platform is considered by many research laboratories as real-time testing module for controller prototyping and also for hardware in the loop (HIL) applications. The controller performance is evaluated in HIL configuration, by performing the real-time simulations under various parameter uncertainties. The proposed controller can improve the low voltage ride through capability of DFIG compared to that of PI and type-1 fuzzy controller.