This paper explores the modeling and control of an aerogenerator system integrating a Doubly Fed Induction Generator (DFIG) paired with advanced multi-level converter technology. Multi-level converters are particularly suited to meet the high-performance demands of wind energy systems, providing improved power quality, reduced harmonic distortion, and increased energy efficiency. Utilizing vector control and maximum power point tracking (MPPT) techniques, this study aims to optimize wind energy extraction while ensuring system stability and responsiveness under varying wind speeds. Simulations conducted in MATLAB/Simulink validate the proposed approach, demonstrating significant improvements in dynamic performance and power quality fed into the grid. This work emphasizes the importance of multi-level converters in renewable energy applications, highlighting their potential to enhance the efficiency and reliability of wind power generation systems.
| Published in | Abstract Book of the 2024 International Conference on Education and Environment (ICEE2024) |
| Page(s) | 53-53 |
| Creative Commons |
This is an Open Access abstract, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Aerogenerator, Doubly Fed Induction Generator, Multi-Level Converter, Wind Energy, Power Quality, Harmonic Distortion, Energy Efficiency, Maximum Power Point Tracking
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