Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters

2022 ◽  
2016 ◽  
Vol 63 (9) ◽  
pp. 5838-5848 ◽  
Author(s):  
Jaime A. Rohten ◽  
Jose R. Espinoza ◽  
Javier A. Munoz ◽  
Marcelo A. Perez ◽  
Pedro E. Melin ◽  
...  

2021 ◽  
Vol 13 (16) ◽  
pp. 9150
Author(s):  
Mohamed Abdelrahem ◽  
Christoph Hackl ◽  
Ralph Kennel ◽  
Jose Rodriguez

In this paper, a deadbeat predictive control (DBPC) technique for doubly-fed induction generators (DFIGs) in wind turbine applications is proposed. The major features of DBPC scheme are its quick dynamic performance and its fixed switching frequency. However, the basic concept of DBPC is computing the reference voltage for the next sample from the mathematical model of the generator. Therefore, the DBPC is highly sensitive to variations of the parameters of the DFIG. To reduce this sensitivity, a disturbance observer is designed in this paper to improve the robustness of the proposed DBPC scheme. The proposed observer is very simple and easy to be implemented in real-time applications. The proposed DBPC strategy is implemented in the laboratory. Several experiments are performed with and without mismatches in the DFIG parameters. The experimental results proved the superiority of the proposed DBPC strategy over the traditional DBPC technique.


Author(s):  
Vinod Kumar ◽  
Steven Kong ◽  
Yateendra Mishra ◽  
Z.Y. Dong ◽  
Ramesh C. Bansal

Adjustable speed induction generators, especially the Doubly-Fed Induction Generators (DFIG) are becoming increasingly popular due to its various advantages over fixed speed generator systems. A DFIG in a wind turbine has ability to generate maximum power with varying rotational speed, ability to control active and reactive by integration of electronic power converters such as the back-to-back converter, low rotor power rating resulting in low cost converter components, etc, DFIG have become very popular in large wind power conversion systems. This chapter presents an extensive literature survey over past 25 years on the different aspects of DFIG. Application of H8 Controller for enhanced DFIG-WT performance in terms of robust stability and reference tracking to reduce mechanical stress and vibrations is also demonstrated in the chapter.


Sign in / Sign up

Export Citation Format

Share Document