Control of a grid-connected PMSG-Based wind energy system with A back-to-back converter using a hybrid fuzzy sliding mode control

• Autorzy: Yachir Amina , Boulouiha Houari Merabet , Belabbes Abdallah , Khodja Mohamed , Bouddou Riyadh

Identyfikatory

DOI

10.15199/48.2024.09.15

Warianty tytułu

PL

Sterowanie systemem energetyki wiatrowej opartym na PMSG podłączonym do sieci z przetwornikiem typu back-to-back przy użyciu hybrydowego sterowania w trybie rozmytym

• Języki publikacji: EN

Abstrakty

EN

Recently, the intersection of permanent magnet synchronous generator (PMSG)-based wind energy conversion system (WECS) has become a focus of research, stimulated by advances in advanced control techniques. This study explores the implementation of hybrid fuzzy sliding mode control in PMSG systems, with the aim of improving system response to varying wind conditions and enhancing overall stability and efficiency. By combining sliding mode control (SMC) with fuzzy logic control (FLC), this research contributes to the current discourse on the optimization of wind energy conversion systems. The obtained simulation outcomes of the proposed control strategy show robust dynamics, steady-state efficiency, and performance compared to conventional SMC and PI control, in terms of robustness and disturbances due to parameter variation.

PL

W ostatnim czasie system konwersji energii wiatrowej (WECS) oparty na generatorze synchronicznym z magnesami trwałymi (PMSG) stał się przedmiotem badań, stymulowanych postępem w zaawansowanych technikach sterowania. W niniejszym opracowaniu zbadano implementację hybrydowego sterowania rozmytego w trybie ślizgowym w systemach PMSG w celu poprawy reakcji systemu na zmienne warunki wiatrowe oraz zwiększenia ogólnej stabilności i wydajności. Łącząc sterowanie w trybie ślizgowym (SMC) ze sterowaniem logiką rozmytą (FLC), badania te przyczyniają się do obecnego dyskursu na temat optymalizacji systemów konwersji energii wiatrowej. Uzyskane wyniki symulacji proponowanej strategii sterowania pokazują solidną dynamikę, wydajność w stanie ustalonym i wydajność w porównaniu do konwencjonalnego sterowania SMC i PI, pod względem odporności i zakłóceń spowodowanych zmianami parametrów.

Słowa kluczowe

EN

WECS; PMSG; SMC; FLC

PL

WECS; PMSG; SMC; FLC

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2024
• Tom: R. 100, nr 9
• Strony: 89--95
• Opis fizyczny: Bibliogr. 23 poz., rys., tab.

Twórcy

autor

Yachir Amina

• Laboratory of Automation and Systems Analysis LAAS, Ecole National Polytechnique Maurice Audin Oran, Algeria

• https://orcid.org/0009-0009-8156-0555

autor

Boulouiha Houari Merabet

• Laboratory of Sustainable Development of Electrical Energy LDDEE, University of Science and Technology MB Oran, Algeria

• https://orcid.org/0000-0003-2218-8107

autor

Belabbes Abdallah

• University of Oran 2 Mohammed Ben Ahmed, Industrial maintenance and safety institute, Oran, Algeria

• https://orcid.org/0000-0003-0072-6883

autor

Khodja Mohamed

• University of Relizane Ahmed Zabana, Algeria

autor

Bouddou Riyadh

• Department of Electrical Engineering, Institute of Technology, University Center of Naama, Algeria

• https://orcid.org/0000-0001-6555-5785

Bibliografia

• [1] YANG, Bo, YU, Tao, SHU, Hongchun, et al. Adaptive fractional-order PID control of PMSG-based wind energy conversion system for MPPT using linear observers. International Transactions on Electrical Energy Systems, 2019, vol. 29, no 1, p. e2697.
• [2] NARAYANAN, G., ALI, M. Syed, JOO, Young Hoon, et al. Robust Adaptive Fractional Sliding-Mode Controller Design for Mittag-Leffler Synchronization of Fractional-Order PMSG Based Wind Turbine System. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023.
• [3] LI, Yujun, XU, Zhao, et WONG, Kit Po. Advanced control strategies of PMSG-based wind turbines for system inertia support. IEEE Transactions on Power Systems, 2016, vol. 32, no 4, p. 3027-3037.
• [4] BENAMOR, A., BENCHOUIA, M. T., SRAIRI, K., et al. A novel rooted tree optimization applies in the high order sliding mode control using super-twisting algorithm based on DTC scheme for DFIG. International Journal of Electrical Power & Energy Systems, 2019, vol. 108, p. 293-302.
• [5] Achar, A., Djeriri, Y., Bentaallah, A., Hanafi, S., Djehaf, M. A., & Bouddou, R. (2023). Lyapunov-based robust power controllers for a wind farm using parallel multicell converters. Przegląd Elektrotechniczny, 99(4), 247-254.
• [6] KALI, Syed Wajahat, VERMA, Anant Kumar, TERRICHE, Yacine, et al. Finite-Control-Set Model Predictive Control for Low-Voltage-Ride-Through Enhancement of PMSG Based Wind Energy Grid Connection Systems. Mathematics, 2022, vol. 10, no 22, p. 4266.
• [7] K ABDELLATIF, Walid SE, HAMADA, A. M., et ABDELWAHAB, Saad A. Mohamed. Wind speed estimation MPPT technique of DFIG-based wind turbines theoretical and experimental investigation. Electrical Engineering, 2021, p. 1 13.
• [8] REZAEI, Najmeh, MEHRAN, Kamyar, et COSSAR, Calum. A practical model and an optimal controller for variable speed wind turbine permanent magnet synchronous generator. In: 2017 9th International Conference on Modelling, Identification and Control (ICMIC). IEEE, 2017. p. 1008-1013.
• [9] KESRAOUI, Mohamed, LAGRAF, Sid Ahmed, et CHAIB, Ahmed. Aerodynamic power control of wind turbine using fuzzy logic. In: 2015 3rd international renewable and sustainable energy conference (IRSEC). IEEE, 2015. p. 1-6.
• [10] MEGHNI, Billel, DIB, Djalel, et AZAR, Ahmad Taher. A second order sliding mode and fuzzy logic control to optimal energy management in wind turbine with battery storage. Neural Computing and Applications, 2017, vol. 28, p. 1417-1434.
• [11] GHOURAF, Djamel Eddine. An advanced control applied to PMSG wind energy conversion system implemented under graphical user interface. Electrical Engineering, 2023, p. 1-12.
• [12] OTHMANE, Zamzoum, et al. Dynamic modeling and control of a wind turbine with MPPT control connected to the grid by using PMSG. In: 2017 International conference on advanced technologies for signal and image processing (ATSIP). IEEE, 2017. p. 1-6.
• [13] YIN, Xiu-xing, LIN, Yong-gang, LI, Wei, et al. A novel fuzzy integral sliding mode current control strategy for maximizing wind power extraction and eliminating voltage harmonics. Energy, 2015, vol. 85, p. 677-686.
• [14] ZRIBI, Mohamed, ALRIFAI, Muthana, et RAYAN, Mohamed. Sliding mode control of a variable-speed wind energy conversion system using a squirrel cage induction generator. Energies, 2017, vol. 10, no 5, p. 604.
• [15] RHAILI, S. E., ABBOU, A., HICHAMI, N. E., et al. Mawimum power extraction of five-phase PMSG WECS by adopting and improved fractional order sliding mode strategy. Jilin DaxueXuebao, 2021, p. 55-74.
• [16] MAJOUT, Btissam, BOSSOUFI, Badre, BOUDERBALA, Manale, et al. Improvement of PMSG-based wind energy conversion system using developed sliding mode control. Energies, 2022, vol. 15, no 5, p. 1625.
• [17] Belabbes, A., Hamane, B., Bouhamida, M., & Draou, A. (2012). Power control of a wind energy conversion system based on a doubly fed induction generator using RST and sliding mode controllers. RE&PQJ, 10(2).
• [18] ECHIHEB, Farah, IHEDRANE, Yasmine, BOSSOUFI, Badre, et al. Robust sliding-backstepping mode control of a wind system based on the DFIG generator. Scientific reports, 2022, vol. 12, no 1, p. 11782.
• [19] JUNHUI, Zhao, MINGYU, Wang, YANG, Li, et al. The study on the constant switching frequency direct torque-controlled induction motor drive with a fuzzy sliding mode speed controller. In: 2008 International Conference on Electrical Machines and Systems. IEEE, 2008. p. 1543-1548.
• [20] AISSAOUI, Abdel G., ABID, H., et ABID, M. Robust fuzzy sliding mode controller design for motors drives. Acta Electrotechnica et Informatica, 2009, vol. 9, no 2, p. 64-71
• [21] Azzouz, S., Messalti, S., & Harrag, A. (2019). Innovative PID GA MPPT controller for extraction of maximum power from variable wind turbine. Przegląd Elektrotechniczny, 95.
• [22] ABDELGOUI, Rim Feyrouz, TALEB, Rachid, BENYOUCEF, Djilali, et al. A Comparative Study Between Sliding Mode Control (SMC) and Hybrid Control Fuzzy Sliding Mode (FSMC) for Induction Motor. In: Second International Conference on Electrical Engineering ICEEB'18. 2018.
• [23] BELABBES, A, LAIDANI, A, YACHIR A, BOUZID, A, E, LITIM, O, A, BOUDDOU, R. (2024). Advanced Control of PMSG based Wind Energy Conversion System Using Model Predictive and Sliding Mode Control. PRZEGLĄD ELEKTROTECHNICZNY, 1(2), https://doi.org/10.15199/48.2024.02.02

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).