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| تعداد شمارهها | 405 |
| تعداد مقالات | 3,554 |
| تعداد مشاهده مقاله | 5,513,112 |
| تعداد دریافت فایل اصل مقاله | 3,771,310 |
Enhancing Frequency Stability in Islanded Microgrids via Model Predictive Control | ||
| Journal of Operation and Automation in Power Engineering | ||
| دوره 12، Special Issue (Open)، 2024 | ||
| نوع مقاله: Research paper | ||
| شناسه دیجیتال (DOI): 10.22098/joape.2024.17113.2335 | ||
| نویسندگان | ||
| Anvar Ziyadullayevich Avlokulov* 1؛ Suhrob Ovlayev1؛ Hussein Basim Furaijl2؛ Muntadher Abed Hussein3؛ Hassan Khalid Abozibid4؛ Zainab Ali Nasir5؛ Tahir Toma Farhan6؛ Sarmad Jaafar Naser7؛ Oybarchin Avlayeva8؛ Oybek Yulchiyev1؛ Dilorom Normuminova1 | ||
| 1The Department of Audit, Tashkent state University, Tashkent, Uzbekistan | ||
| 2University of Al-Ameed, Karbala, Iraq | ||
| 3department of sciences/ Al-Manara College/ (Maysan)/Iraq | ||
| 4Al-Zahrawi University College, Karbala, Iraq | ||
| 5Al-Nisour University College, Nisour Seq. Karkh, Baghdad, Iraq | ||
| 6Mazaya University College/ Iraq | ||
| 7Collage of Nursing, National University of Science and Technology, Dhi Qar, 64001, Iraq | ||
| 8The Department of Audit, Tashkent state University , Tashkent, Uzbekistan | ||
| چکیده | ||
| This paper proposes a Model Predictive Control-based strategy for secondary load frequency control to enhance the dynamic performance of such systems. The proposed controller generates optimal control signals for dispatchable units to minimize frequency deviations induced by load and generation variability. A comprehensive microgrid model is developed, incorporating photovoltaic arrays, wind turbines, fuel cells, battery and flywheel energy storage systems, diesel generators, and electrolyzers. The dynamic behavior of each component is formulated using small-signal transfer functions, and the MPC is designed based on a constrained quadratic optimization problem that predicts and mitigates frequency deviations. Simulation results in MATLAB/Simulink demonstrate the superiority of the proposed MPC approach compared to conventional and intelligent controllers, including Ziegler–Nichols tuned PI, Fuzzy-PI, CPSO-PID, and CPSO-FOPID. The proposed controller achieved a maximum frequency deviation of 0.0052 pu, a settling time of 5.1 seconds, and an ITAE of 0.00024—outperforming all benchmarks in both steady-state and transient scenarios. Robustness under system parameter variations and load disturbances was also validated through five distinct case studies. The controller exhibits improved reliability, reduced stress on primary controllers, and better resilience to uncertainties. Future work will focus on implementing adaptive MPC algorithms, integrating machine learning-based disturbance predictors, and validating the control scheme using real-time hardware-in-the-loop platforms for enhanced applicability in hybrid AC/DC microgrids. | ||
| کلیدواژهها | ||
| Model Predictive Control؛ secondary control؛ renewable energy integration؛ frequency oscillations؛ system stability؛ robust control؛ hardware in the loop validation | ||
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آمار تعداد مشاهده مقاله: 12 |
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