Control strategy for a droop-controlled grid-connected DFIG wind turbine

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Date
2022Version
Acceso abierto / Sarbide irekia
Type
Contribución a congreso / Biltzarrerako ekarpena
Version
Versión aceptada / Onetsi den bertsioa
Project Identifier
AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-110956RB-I00/ES/
Impact
|
10.1109/COMPEL53829.2022.9830010
Abstract
The application of droop control techniques without inner current control loops to doubly-fed induction generator (DFIG) based wind turbines does not allow to provide a stable response at all operating points in terms of rotational speed and active and reactive power. After modeling the system dynamics and analyzing the causes of instability, this paper proposes a control strategy that allows to ...
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The application of droop control techniques without inner current control loops to doubly-fed induction generator (DFIG) based wind turbines does not allow to provide a stable response at all operating points in terms of rotational speed and active and reactive power. After modeling the system dynamics and analyzing the causes of instability, this paper proposes a control strategy that allows to stabilize the system response at all possible operating points. Simulation results performed in MATLAB/Simulink validate the proposed control strategy proving its effectiveness. [--]
Subject
Control strategy,
Doubly-fed induction generator (DFIG),
Droop control,
Stability analysis
Publisher
IEEE
Published in
2022 IEEE 23rd Workshop on Control and Modeling for Power Electronics (COMPEL) 1-7. ISBN 978-1-6654-1081-6
Departament
Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicación /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza Saila /
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute of Smart Cities - ISC
Publisher version
Sponsorship
This work was supported by the Spanish State Research Agency (AEI) under Grant PID2019-110956RB-I00/AEI/10.13039.