Improving the Maximum Power Extraction from Wind Turbines Using a Second-Generation CRONE Controller

Mourad Yessef, Badre Bossoufi, Mohammed Taoussi, Saad Motahhir, Ahmed Lagrioui, Hamid Chojaa, Sanghun Lee, Byeong-Gwon Kang and Mohamed Abouhawwash
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Mourad Yessef: Laboratory of Engineering, Modeling and Systems Analysis, Faculty of Sciences Dhar El Mahraz, Sidi Mohammed Ben Abdellah University, Fez 30000, Morocco
Badre Bossoufi: Laboratory of Engineering, Modeling and Systems Analysis, Faculty of Sciences Dhar El Mahraz, Sidi Mohammed Ben Abdellah University, Fez 30000, Morocco
Mohammed Taoussi: Laboratory of Technologies and Industrial Services, Higher School of Technology, Sidi Mohammed Ben Abdellah University, Fez 30000, Morocco
Saad Motahhir: Engineering, Systems, and Applications Laboratory, ENSA, SMBA University, Fez 30000, Morocco
Ahmed Lagrioui: Department of Electrical and Computer Engineering, Higher National School of Arts and Trades, Moulay Ismail University, Meknes 50050, Morocco
Hamid Chojaa: Laboratory of Technologies and Industrial Services, Higher School of Technology, Sidi Mohammed Ben Abdellah University, Fez 30000, Morocco
Sanghun Lee: Department of ICT Convergence, Soonchunhyang University, Asan 31538, Korea
Byeong-Gwon Kang: Department of ICT Convergence, Soonchunhyang University, Asan 31538, Korea
Mohamed Abouhawwash: Department of Mathematics, Faculty of Science, Mansoura University, Mansoura 35516, Egypt

Energies, 2022, vol. 15, issue 10, 1-23

Abstract: Developing precise and robust algorithms that can help in obtaining maximum power yield in a variable speed wind turbine is an important area of research in wind engineering. The present manuscript proposes a technique that utilizes a second-generation CRONE controller for the maximum power tracking technique (MPPT) to maximize power generation in a wind energy conversion system (WECS) based on a double-fed induction generator (DFIG). The authors propose this novel method because the classical controllers cannot provide adequate performance in terms of extracting the maximum energy from variable speed wind turbines when applying a real wind profile and they cannot guarantee the high stability of the WECS. Moreover, this novel controller sufficiently handles problems related to the control effort level. The performance of the second-generation CRONE method was mathematically modeled using MATLAB/Simulink and compared with four other types of MPPT control techniques, which include a proportional-integral linear controller (PI), nonlinear sliding mode controller (SMC), backstepping controller (BS), and fuzzy logic controller (FLC). Two different wind profiles, a step wind profile and a real wind profile, were considered for the comparative study. The response time, dynamic error percentage, and static error percentage were the quantitative parameters compared, and the qualitative parameters included set-point tracking and precision. This test demonstrated the superiority of the second-generation CRONE controller in terms of all of the compared parameters.

Keywords: second-generation CRONE controller; DFIG; MPPT; sliding mode controller (SMC); backstepping controller (BS); fuzzy logic controller (FLC); WECS (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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