Nonlinear maximum power point tracking control and modal analysis of DFIG based wind turbine

Yang, Bo, Jiang, Lin ORCID: 0000-0001-6531-2791, Wang, Lei, Yao, Wei and Wu, QH (2016) Nonlinear maximum power point tracking control and modal analysis of DFIG based wind turbine. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 74. pp. 429-436.

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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).

Item Type:	Article
Uncontrolled Keywords:	DFIG-WT, Nonlinear control, Maximum power point tracking, Modal analysis, Low-voltage ride-through
Depositing User:	Symplectic Admin
Date Deposited:	28 Apr 2016 09:54
Last Modified:	19 Jan 2023 07:37
DOI:	10.1016/j.ijepes.2015.07.036
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3000912