Control of a DFIG based wind turbine using modified Conditional Servo-compensator - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Control of a DFIG based wind turbine using modified Conditional Servo-compensator

Résumé

This paper presents the control of a wind turbine composed by a doubly fed induction generator (DFIG), which provides power to the main grid through a feeder. The control algorithm is designed following the modified Conditional Servo-Compensator (mCS) theory. This control technique was recently developed to a broad class of nonlinear systems, and this paper brings the first result applied to wind turbines. The mCS theory has several advantages compared to others, as it is a robust nonlinear control scheme. First, it provides rigorous stability analysis, that allows explicit definition of performance and operating conditions. Secondly, it is a robust controller, and only needs lump values and bounds for parameters and dynamics. Finally it is very simple and easy to implement, and does not need heavy computer burden, it is only based on standard local measurements, and represents a promising solution for real applications. The theoretical results are verified by simulations using detailed Simpower models. These simulations show very good results facing a Low Voltage Ride Through scenario, which is one of the most severe tests used for practical applications. The proposed scheme could easily be adapted to the control of other applications based on power converters, as the control of the interconnection of a full wind farm to the main grid, or the control of a terminal in a DC grid.
Fichier principal
Vignette du fichier
IFAC_23_mCS.pdf (407.15 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04215806 , version 1 (22-09-2023)

Identifiants

Citer

Vancuong Nguyen, Mariana Netto, Gilney Damm. Control of a DFIG based wind turbine using modified Conditional Servo-compensator. 22nd World Congress of the International Federation of Automatic Control (IFAC 2023), IFAC, Jul 2023, Yokohama, Japan. ⟨10.1016/j.ifacol.2023.10.1167⟩. ⟨hal-04215806⟩
49 Consultations
26 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More