Open Access
| Issue |
E3S Web of Conf.
Volume 540, 2024
1st International Conference on Power and Energy Systems (ICPES 2023)
|
|
|---|---|---|
| Article Number | 03008 | |
| Number of page(s) | 8 | |
| Section | Wind Turbine and Energy Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202454003008 | |
| Published online | 21 June 2024 | |
- Radhakrishnan, S., Jasmin, M., Senthilkumar, K. K., & Vanitha, M. (2023). Intelligent Control System for Wind Turbine Farms Using IoT and Machine Learning. In E3S Web of Conferences (Vol. 387, p. 04004). EDP Sciences. [Google Scholar]
- Behara, R. K., & Saha, A. K. (2022). artificial intelligence control system applied in smart grid integrated doubly fed induction generator-based wind turbine: A review. Energies, 15(17), 6488 [CrossRef] [Google Scholar]
- Muthuvel, K., & Vijayakumar, M. (2020). Solar PV sustained quasi Z-source networkbased unified power quality conditioner for enhancement of power quality. Energies, 13(10), 2657 [CrossRef] [Google Scholar]
- Park, J. S., Lee, K., Lee, K., Lee, J., Lee, J. Y., & Yoo, H. J. (2019). J of Electrical Eng and Technology, 14(6), 2696–2705. https://doi.org/10.1007/s42835-019-00036-z [Google Scholar]
- Wei, Y., Xu, C., Zhang, Q., & Tang, Y. (2019). App Energy, 252, 113486. doi: 10.1016/j.apenergy.2019.113486 [Google Scholar]
- Aurangzeb, M., Ai, X., Hanan, M., Jan, M. U., Rehman, H. U., & Iqbal, S. (2019, November). Single algorithm mpso depend solar and wind mppt control and integrated with fuzzy controller for grid integration. In 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) (pp. 583–588). IEEE. [CrossRef] [Google Scholar]
- Kim, C., & Kim, W. (2020). Coordinated fuzzy-based low-voltage ride-through control for PMSG wind turbines and energy storage systems. IEEE Access, 8, 105874–105885. [CrossRef] [Google Scholar]
- Xu, H., Zhang, Y., Li, Z., Zhao, R., & Hu, J. (2020). Reactive current constraints and coordinated control of dfig’srsc and gsc during asymmetric grid condition. IEEE Access, 8, 184339–184349. [Google Scholar]
- Qiao, W., Liang, J., Venayagamoorthy, G. K., & Harley, R. (2011, July). Computational intelligence for control of wind turbine generators. In 2011 IEEE power and energy society general meeting (pp. 1–6). IEEE. [Google Scholar]
- Zhou, D., Blaabjerg, F., Lau, M., & Tønnes, M. (2014). Optimized reactive power flow of DFIG power converters for better reliability performance considering grid codes. IEEE Transactions on Industrial Electronics, 62(3), 1552–1562. [Google Scholar]
- Brearley B.J., Bose K.R., Senthil K., Ayyappan G., (2022), “KNN APPROACHES BY USING BALL TREE SEARCHING ALGORITHM WITH MINKOWSKI DISTANCE FUNCTION ON SMART GRID DATA”, Indian Journal of Computer Science and Engineering, Vol. 13, no. 4, pp. 1210–226.doi:10.21817/indjcse/2022/v13i4/221304179 [CrossRef] [Google Scholar]
- Sunder Selwyn T., Hemalatha S., (2020), “Condition monitoring and vibration analysis of asynchronous generator of the wind turbine at high uncertain windy regions in India”, Materials Today: Proceedings, Vol.46, pp.3639–3643. doi:10.1016/j.matpr.2021.01.656 [CrossRef] [Google Scholar]
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