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| Main Authors: | , , , , , |
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| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.18007113 |
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Table of Contents:
- <p>The growing integration of renewable energy sources (RES) into power grids is vital for addressing climate change and pollution. Wind energy, in particular, has emerged as a reliable and sustainable option, but its intermittent nature demands effective control strategies to ensure stable operation and improved power quality. This thesis focuses on a gridconnected wind energy conversion system (WECS) using a sixphase permanent magnet synchronous generator (PMSG) with a back-to-back converter topology. The Machine Side Converter (MSC) regulates generator speed, while the Grid Side Converter (GSC) maintains unity power factor and stabilizes the DC link voltage. Incremental conductance (IC)-based Maximum Power Point Tracking (MPPT) is employed to optimize energy capture across varying wind conditions. A detailed WECS model is developed to evaluate different controllers: PI controller and hybrid methods—series PI–Fuzzy and parallel PI–Fuzzy. Their performance is assessed in terms of voltage regulation, frequency stability, harmonic reduction, and robustness under wind and grid variations. Comparative analysis shows that while PI provides satisfactory control, hybrid PI–Fuzzy improves adaptability, offer enhanced robustness under nonlinear conditions. The study contributes practical insights for reliable wind energy integration into modern power grids.</p>