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Nonlinear maximum power point tracking control and modal analysis of DFIG based wind turbine
Affiliation:1. Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, United Kingdom;2. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;3. School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China;1. Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, United Kingdom;2. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;3. School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China;1. LaFCAS, School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China;2. CRIStAL UMR CNRS 9189, University of Lille 1, France;1. Department of Electronics and Electrical Engineering, University of Liverpool, Brownlow Hill, Liverpool L69 3GJ, United Kingdom;2. Gencoa Ltd., Physics Road, Liverpool L24 9HP, United Kingdom;1. Laboratory of Electrical Engineering and Maintenance, Higher School of Technology, EST-Oujda, University of Mohammed I, Morocco;2. STIC Team, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco;3. Laboratory of Electrical Engineering and Maintenance, Higher School of Technology, EST-Fez, Sidi Mohamed Ben Abdellah University, Fez, Morocco
Abstract:The doubly fed induction generator based wind turbine (DFIG-WT) has strong nonlinearities originated from the aerodynamics of the wind turbine and the coupled dynamic of the DFIG, and can operate under a time-varying and wide operation region. This paper investigates a feedback linearisation controller based on the detailed model of the DFIG-WT, the control objective is to maximize energy conversion for this system. The original nonlinear system is partially linearized to a third-order linear system and a remained second-order internal nonlinear system. Fully decoupled control of the external dynamics is achieved, and the stability of the remained internal dynamics is analyzed via Lyapunov stability method. Moreover, modal analysis is applied for the nonlinear system controlled by the proposed nonlinear controller to verify its global optimal performance and low-voltage ride-through (LVRT) capability over various wind operation range. Simulation studies verify that more accurate tracking and better LVRT capability can be achieved in comparison with conventional vector control (VC).
Keywords:DFIG-WT  Nonlinear control  Maximum power point tracking  Modal analysis  Low-voltage ride-through
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