کنترل تحمل‌پذیر خطای مبدل پشت به پشت توربین بادی مبتنی بر DFIG بر اساس روش توسعه‌یافته مود لغزشی
محورهای موضوعی : مهندسی برق و کامپیوتر
مهرنوش کمرزرین
1
(دانشکده مهندسی برق، دانشگاه تربیت دبیر شهید رجایی)
محمد حسین رفان
2
(دانشکده مهندسی برق، دانشگاه تربیت دبیر شهید رجایی)
پرویز امیری
3
(دانشکده مهندسی برق، دانشگاه تربیت دبیر شهید رجایی)
کلید واژه: کنترل تحمل‌پذیر خطا, تشخیص عیب, توربین بادی, مبدل‌های پشت به پشت, کنترل تحمل‌پذیر مود لغزشی,
چکیده مقاله :
تشخیص عیب و کنترل تحمل‌پذیر خطای توربین بادی، موجب افزایش قابلیت اطمینان و در دسترس بودن آن می‌شود. یکی از اجزای الکتریکی توربین بادی با نرخ خطای بالا، مبدل توان است. در این مقاله، روش جدیدی به منظور کنترل تحمل‌پذیر خطای (FT) مبدل پشت به پشت توربین بادی مبتنی بر ژنراتور دو سو تغذیه (DFIG) ارائه شده است. با بروز خطا در هر یک از IGBTهای مبدل توربین بادی، عملکرد مبدل مخدوش شده و بخشی از سیگنال جریان هر ساق مبدل از بین می‌رود. کنترل‌کننده کلاسیک، این تغییر رفتار جریان را نمی‌تواند به نحو کاملی اصلاح کند، بنابراین سامانه عملکرد غیر عادی دارد و در نتیجه تولید توان با نوسانات زیادی همراه خواهد بود. به منظور جبران، در این مقاله یک روش جدید مبتنی بر کنترل مود لغزشی ارائه شده است. ابتدا با بروز خطا، سامانه تشخیص عیب، ساق معیوب را مشخص می‌کند و پس از پیکربندی مجدد سخت‌افزار، سامانه کنترل پیشنهادی مبتنی بر کنترل مود لغزشی، جایگزین سامانه کنترل کلاسیک و عملیات کلیدزنی می‌گردد. روش تشخیص عیب ارائه‌شده در این مقاله، مبتنی بر شبکه عصبی مصنوعی است و بر اساس تطبیق با پارامترهای عملکردی توربین بادی، توسعه داده شده است. روش FT پیشنهادی با استفاده از شبیه‌ساز سخت‌افزار در حلقه آزمایشگاهی با ژنراتور 90 کیلووات DFIG ارزیابی می‌شود. نتایج تجربی، دقت مناسب روش تشخیص عیب را نشان داده و از طرفی روش FT پیشنهادی به خوبی توانسته که جبران‌سازی خطای مدار باز IGBT را انجام دهد.
Fault detection and tolerable control of wind turbine increases its reliability and availability. One of the electrical components of the wind turbine with a high error rate is the power converter. In this paper, a new method for fault tolerant (FT) control of the wind turbine back-to-back converter based on Dual Feed Induction Generator (DFIG) is presented. When a open circuit fault occurs in each of the IGBTs of the wind turbine converter, the performance of the converter is distorted and part of the current signal of each leg of the converter is lost. The classical controller cannot completely correct this change in current behavior, and for this reason, it has an abnormal performance. As a result, power generation will be accompanied by many fluctuations. In order to compensate, a new method based on sliding mode control is presented in this article. First, when an error occurs, the fault detection system identifies the faulty leg, and after reconfiguring the hardware, the proposed control system based on sliding mode control replaces the classic control system and switching operation. The fault detection method presented in this article is based on artificial neural network and it was developed based on matching with the functional parameters of the wind turbine. The proposed FT method is evaluated using a hardware simulator in a laboratory loop with a 90 kW DFIG generator. The experimental results show the proper accuracy of the fault detection method and on the other hand, the proposed FT method was able to compensate the open circuit fault of the IGBT.
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