Optimization of the Powers Exchanged between a Cascaded Doubly Fed Induction Generator and the Grid with a Matrix Converter
Abstract
The use of an electromagnetic converter of great reliability in wind energy, like the cascaded doubly fed induction generator (CDFIG), can solve several problems compared to the doubly fed induction generator (DFIG), among them the elimination of the brushes and copper rings. The work consists of studying the performance of a CDFIG-based wind system using a matrix converter and a variable pitch control system. The traditional PI is able to successfully solve a number of linear control problems. The fuzzy logic controller used can dramatically improve the system's performance. The active and reactive energy transferred between the CDFIG and the grid can be controlled by adjusting the machine inverter. The DC bus voltage has been kept stable by controlling the grid inverter. The pitch controller's objective is to maximise aerodynamic power while staying within the converter's power limits. Numerical simulation results implemented in the MATLAB/Simulink package will be provided in this study to show that the suggested control strategy is both possible and effective.
Keywords
Variable speed wind turbine Cascaded doubly fed induction generator Fuzzy logic controller Matrix converter
References
- Achkar, M., Mbayed, R., Salloum, G., & Le Ballois, S. (2017). Generic study of the power capability of a cascaded doubly fed induction machine. International Journal of Electrical Power & Energy Systems, 86, 61-70.
- Adjoudj, M., Abid, M., Aissaoui, A., Ramdani, Y., & Bounoua, H. (2011). Sliding mode control of a doubly fed induction generator for wind turbines. Rev. Roum. Sci. Techn. – Électrotechn. et Énerg, 56(1), 15–24.
- Admowicz, M., & Strzeleki, R. (2008). Cascaded doubly fed induction generator for mini and micro power plants connected to grid. IEEE Power Electronics Motion Control. Conference, 1729 – 1733.
Details
| Primary Language | English |
|---|---|
| Subjects | Environmental and Sustainable Processes |
| Journal Section | Articles |
| Authors | |
| Early Pub Date | December 30, 2023 |
| Publication Date | December 30, 2023 |
| Published in Issue | Year 2023Volume: 26 |
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