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| تعداد شماره‌ها | 642 |
| تعداد مقالات | 9,410 |
| تعداد مشاهده مقاله | 68,134,847 |
| تعداد دریافت فایل اصل مقاله | 39,842,226 |
کنترل‌کننده فرکانس-بار تطبیقی برای سیستم‌های قدرت بهم‌پیوسته با ترکیب کنترل پیش‌بین مدل و شناسایی سیستم | |
| مدل سازی در مهندسی | |
| دوره 23، شماره 80، فروردین 1404، صفحه 289-306 اصل مقاله (1.89 M) | |
| نوع مقاله: مقاله پژوهشی | |
| شناسه دیجیتال (DOI): 10.22075/jme.2024.32739.2591 | |
| نویسندگان | |
| مهدی رمضانی؛ محسن احمدنیا* ؛ احمد حاجی پور | |
| دانشکده مهندسی برق و کامپیوتر، دانشگاه حکیم سبزواری، سبزوار، ایران | |
| تاریخ دریافت: 02 دی 1402، تاریخ بازنگری: 31 تیر 1403، تاریخ پذیرش: 31 مرداد 1403 | |
| چکیده | |
| در این مقاله یک روش کنترل فرکانس-بار تطبیقی جدید بر مبنای کنترل پیش‌بین مدل با استفاده از فیلتر کالمن بی‌اثر بهبودیافته معرفی شده است. هدف از این پژوهش، طراحی یک کنترل‌کننده مقاوم در برابر تغییرات در مشخصه فرکانسی سیستم‌های قدرت است. یک کنترل‌کننده پیش‌بین مدل تطبیقی با بروزرسانی آنلاین مدل پیش‌بینی برای بازتولید مشخصه‌های فرکانسی اساسی سیستم هدف طراحی شد. یک مدل پیش‌بینی ساده شده در بررسی‌های اولیه عملکرد حلقه بسته سیستم قدرت شناسایی شد. سپس، تخمین پارامترهای مدل مذکور با توجه به سنجش‌های زمان-حقیقی به دست آمد. علاوه بر آن، دنباله کنترلی با استفاده از توابع لاگر تقریب زده می‌شود که به کاهش بیشتر بار محاسباتی کمک می‌کند. یک سیستم آزمایشی سه-ناحیه‌ای در حضور قید نرخ تولید و باند مرده برای شبیه‌سازی‌ها در نظر گرفته شد تا کارایی طرح پیشنهادی اثبات شود. نتایج شبیه‌سازی‌ها نشان می‌دهد که روش کنترل پیش‌بین مدل پیشنهادی می‌تواند بطور موفقیت‌آمیزی انحرافات فرکانسی حاصل از اغتشاشات بار را میرا کند و نسبت به تغییرات پارامتری مقاوم است. | |
| کلیدواژه‌ها | |
| کنترل پیش‌بین مدل تطبیقی؛ فیلتر کالمن بی‌اثر بهبودیافته؛ کنترل فرکانس-بار؛ شناسایی مدل | |
| عنوان مقاله [English] | |
| An Adaptive Load-Frequency Controller for Interconnected Power Systems Combining Model Predictive Control and System Identification | |
| نویسندگان [English] | |
| Mehdy Ramezany؛ Mohsen Ahmadnia؛ Ahmad Hajipoor | |
| Faculty of Electrical and Computer Engineering, Hakim Sabzevari University, Sabzevar, Iran | |
| چکیده [English] | |
| This paper introduces a new adaptive load frequency control method based on model predictive control using an improved unscented Kalman filter. This research aims to design a robust controller for changes in the frequency characteristic of power systems. An adaptive model predictive controller with online updating of the predictive model is designed to reproduce the fundamental frequency characteristics of the target system. A simplified predictive model is identified in the preliminary investigations of the closed-loop performance of the power system. Then, the parameters of this model are estimated according to real-time measurements. In addition, the control sequence is approximated using Laguerre functions, which helps to reduce the computational load further. A three-zone test system in the presence of generation rate constraint and dead-band is considered for simulation to prove the effectiveness of the proposed scheme. The simulation results show that the proposed adaptive control scheme can successfully stabilize frequency deviations caused by load disturbances and is robust against parameter uncertainties. | |
| کلیدواژه‌ها [English] | |
| Adaptive model predictive control, Improved unscented kalman filter, Load frequency control, Model identification | |
| مراجع | |
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آمار
تعداد مشاهده مقاله: 155
تعداد دریافت فایل اصل مقاله: 154