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مدلسازی دینامیکی پیل سوختی وکنترل پیش‌بین مبدل واسط از نوع IBVM در مود جریانی، جهت استفاده در سامانه‌های تولید توان پراکنده | ||
| علوم و فناوریهای پدافند نوین | ||
| دوره 12، شماره 1 - شماره پیاپی 43، خرداد 1400، صفحه 53-71 اصل مقاله (2.56 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| نویسندگان | ||
| علی عبداللهی ارجنکی1؛ آرش دهستانی کلاگر* 2؛ محمدرضا علیزاده پهلوانی3 | ||
| 1دانشجوی کارشناسی ارشد، دانشگاه صنعتی مالک اشتر، تهران، ایران | ||
| 2استادیار، دانشگاه صنعتی مالک اشتر، تهران، ایران | ||
| 3دانشیار، دانشگاه صنعتی مالک اشتر، تهران، ایران | ||
| تاریخ دریافت: 03 شهریور 1399، تاریخ بازنگری: 01 آبان 1399، تاریخ پذیرش: 07 آبان 1399 | ||
| چکیده | ||
| پیل سوختی به‌عنوان یک منبع تولید انرژی کارآمد و سازگار با محیط زیست، اخیرا به‌طور گسترده‌ای مورد توجه قرار گرفته است. در این مقاله، یک مدل جامع از پیل سوختی غشاء تبادل پروتون kW 6 که شامل مدل دینامیکی همراه با مدل الکتریکی می‌باشد، ارائه می‌شود. تعادل جرمی و تعادل انرژی ترمودینامیکی، تغییرات دمایی، ولتاژ خروجی مدار باز، تلفات ولتاژ و لایه دوتایی بار الکتریکی در پیل سوختی مدلسازی می‌شوند. برای اتصال پیل سوختی به ریزشبکه‌ها در کاربردهایی نظیر سامانه‌های تولید توان پراکنده، سیستم قدرت سامانه‌های پدافندی دریایی و شناورهای نظامی به مبدل‌هایی با بهره ولتاژ بالا، توانایی بالا در پردازش توان و سطح بالایی از جریان جذب‌شده از منبع DC نیاز می‌باشد. بنابراین در این مقاله، دو مبدل DC-DC افزاینده درهم‌تنیده و مبدل افزاینده درهم‌تنیده همراه با چند برابر کننده ولتاژ (IBVM) جهت اتصال پیل سوختی به ریزشبکه‌ها پیشنهاد می‌شود. سپس روش کنترل پیش‌بین به‌عنوان یک کنترل‌کننده حالت جریانی، برای هر دو مبدل پیشنهادی به‌منظور کنترل جریان تزریقی توسط پیل سوختی و همچنین صاف کردن نوسانات خروجی پیل سوختی طراحی می‌شود. در مقایسه با روشهای کنترل خطی آبشاری مرسوم، روش پیشنهادی از تنظیم کردن پارامترهای PID، مدولاسیون PWM و تبدیل مختصات جلوگیری می‌کند. درنهایت، نتایج شبیه‌سازی جهت اعتبارسنجی مدل ارائه‌شده، کارایی مبدل‌های انتخابی و روش کنترل پیشنهادی ارائه می‌شوند. | ||
| کلیدواژه‌ها | ||
| پیل سوختی؛ مدلسازی دینامیکی؛ مبدل DC-DC؛ کنترل حالت جریانی؛ کنترل پیش‌بین مبتنی بر مدل | ||
| عنوان مقاله [English] | ||
| Dynamic Modeling of Fuel Cell and Model Predictive Control of Interface IBVM Converter in Current Mode for the Application of Distributed Power Generation | ||
| نویسندگان [English] | ||
| A. Abdollahi Arjanaki1؛ A. Dehestani Kolagar2؛ M. R. Alizadeh Pahlavani3 | ||
| 1Malek-Ashtar University of Technology | ||
| 2Malek-Ashtar University of Technology | ||
| 3Malek-Ashtar University of Technology | ||
| چکیده [English] | ||
| The fuel cell, as an efficient and environmentally friendly energy source, has received much attention in recent years. In this paper, a comprehensive model of the 6-kW proton exchange membrane (PEM) fuel cell, including dynamic model along with the electrical model, is presented. The mass balance and thermodynamic energy balance, temperature dynamics, open-circuit output voltage, voltage losses, and the formation of charge double layer in the PEM fuel cell are modeled. The connection of fuel cells to the microgrids in applications such as distributed power generation, power systems of naval defense systems, and military ships requires DC-DC power converters with high voltage gain, high capability of power processing, and high levels of current absorbed from the dc source. In this context, this paper proposes the use of an interleaved boost DC-DC converter and an interleaved boost with voltage multiplier converter (IBVM) to connect the fuel cell to the microgrids. Then a model predictive control algorithm is proposed for the two proposed converter as a current-mode controller to control the injected current by fuel cell as well as to smooth output fluctuations of the fuel cell. Compared with traditional cascade linear control, the proposed scheme avoids PID parameters tuning, PWM modulation, and coordinate transformation. The simulation results are given to confirm the effectiveness of the proposed control method, the chosen converters, and the obtained model of PEM fuel cell. | ||
| کلیدواژه‌ها [English] | ||
| Fuel Cell, Dynamic Modeling, DC-DC Converter, Current Mode Control, Model Predictive Control | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 339 تعداد دریافت فایل اصل مقاله: 282 |
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