Nonlinear Enhanced Control for Wind Energy Generation System-Based Permanent Magnet Synchronous Generator

Youssef Errami (), Abdellatif Obbadi, Smail Sahnoun and Mohssin Aoutoul
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Youssef Errami: Laboratory of Electronics, Instrumentation and Energy, Faculty of Science, University Chouaib Doukkali-Eljadida, El Jadida 24000, Morocco
Abdellatif Obbadi: Laboratory of Electronics, Instrumentation and Energy, Faculty of Science, University Chouaib Doukkali-Eljadida, El Jadida 24000, Morocco
Smail Sahnoun: Laboratory of Electronics, Instrumentation and Energy, Faculty of Science, University Chouaib Doukkali-Eljadida, El Jadida 24000, Morocco
Mohssin Aoutoul: Laboratory of STIC, Faculty of Science, University Chouaib Doukkali-Eljadida, El Jadida 24000, Morocco

Sustainability, 2024, vol. 16, issue 17, 1-17

Abstract: This paper proposes a Nonlinear Backstepping Approach (NBA) to improve the control performance of a Permanent Magnet Synchronous Generator (PMSG)-based Wind Energy Generation System (WEGS) under parameter uncertainties and short circuits with fluctuations in the grid voltage. Both the rectifier and the three-phase inverter are controlled using the NBA scheme; this method ensures Maximum Power Point Tracking (MPPT), which is a very appealing control objective with unpredictable scenarios of wind speed, and regulates the active and reactive power flows to the electrical network under varying wind speeds. Also, an inverter was employed to control voltage of the DC bus and the powers. The regulator’s stability is achieving using the Lyapunov approach. Simulation results with Matlab/Simulink confirm the efficiency of the presented scheme. The comparative analysis of the NBA with conventional Vector Controllers (VCs), under parameter deviations and for low voltage drop conditions, demonstrates the efficiency of the studied method.

Keywords: PMSG; MPPT; backstepping theory; electrical grid (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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