Enhanced grid stability of DFIG-based wind systems through intelligent reactive power coordination using machine learning-based control
- DOI
- 10.1038/s41598-026-47806-x
- Published
- 4
- Container
- Scientific Reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-47806-x,
title = {Enhanced grid stability of DFIG-based wind systems through intelligent reactive power coordination using machine learning-based control},
author = {Biraj Borah and Mrinal Kanti Rajak and Abhik Banerjee and Rajen Pudur and S. N. Deepa},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-47806-x},
url = {https://doi.org/10.1038/s41598-026-47806-x}
}RIS
TY - JOUR TI - Enhanced grid stability of DFIG-based wind systems through intelligent reactive power coordination using machine learning-based control AU - Biraj Borah AU - Mrinal Kanti Rajak AU - Abhik Banerjee AU - Rajen Pudur AU - S. N. Deepa PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-47806-x UR - https://doi.org/10.1038/s41598-026-47806-x ER -
APA
Borah, B., Rajak, M. K., Banerjee, A., Pudur, R., & Deepa, S. N. (2026). Enhanced grid stability of DFIG-based wind systems through intelligent reactive power coordination using machine learning-based control. Scientific Reports. https://doi.org/10.1038/s41598-026-47806-x
Source records
- doaj · retrieved 2026-09-26T04:48:28.210Z