Title: Towards a global nonlinear control strategy for DFIG-based wind turbine in a high wind energy penetrated system

Authors: Karim Noussi; Abdelmajid Abouloifa; Hanane Katir; Ibtissam Lachkar; Fadwa El Otmani

Addresses: ESE Lab, ENSEM of Casablanca, Hassan II University, Casablanca, Morocco ' ESE Lab, ENSEM of Casablanca, Hassan II University, Casablanca, Morocco ' ESE Lab, ENSEM of Casablanca, Hassan II University, Casablanca, Morocco ' ESE Lab, ENSEM of Casablanca, Hassan II University, Casablanca, Morocco ' ESE Lab, ENSEM of Casablanca, Hassan II University, Casablanca, Morocco

Abstract: Variable speed wind turbines offer several advantages compared to those with fixed speed, especially as far as it concerns their ability to capture energy efficiently. To benefit from these features, the power transmitted to the electrical grid must reach its optimum. In this context, this paper proposes a nonlinear controller, so as to control the overall variable speed wind energy conversion system (VS-WECS). This latter consists of a wind turbine rotor, a doubly fed induction generator (DFIG), an AC/DC/AC converter, and the electrical grid. The proposed controller is based on the sliding mode technique aiming at controlling the stator power, the grid side reactive power and regulating the DC-link voltage, in order to manage the flow of energy between the wind turbine system and the power grid as well as to improve the dynamic system and transient stability. The performance of the 2MW grid-connected DFIG wind turbine system is checked with MATLAB/SimPowerSystems environment and examined under fixed and variable wind speed profiles to confirm the reliability and validity of the control strategy.

Keywords: power control; doubly fed induction generator; DFIG; wind energy conversion system; sliding mode control; Lyapunov stability.

DOI: 10.1504/IJMIC.2021.123429

International Journal of Modelling, Identification and Control, 2021 Vol.39 No.2, pp.172 - 183

Received: 29 Nov 2020
Accepted: 25 May 2021

Published online: 20 Jun 2022 *

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