Open Access
Issue
ITM Web Conf.
Volume 69, 2024
International Conference on Mobility, Artificial Intelligence and Health (MAIH2024)
Article Number 01010
Number of page(s) 7
Section Artificial Intelligence
DOI https://doi.org/10.1051/itmconf/20246901010
Published online 13 December 2024
  1. W. Strielkowski, L. Civín, E. Tarkhanova, M. Tvaronavičienė, Y. Petrenko, Renewable energy in the sustainable development of electrical power sector: A review. Energies 14, 8240 (2021). https://doi.org/10.3390/en14248240 [CrossRef] [Google Scholar]
  2. P. Roy, J. He, T. Zhao, Y. V. Singh, Recent advances of windsolar hybrid renewable energy systems for power generation: A review. IEEE Open J. Ind. Electron. Soc. 3, 81–104 (2022). https://doi.org/10.1109/OJIES.2022.3144093 [CrossRef] [Google Scholar]
  3. M. M. V. Cantarero, Of renewable energy, energy democracy, and sustainable development: A roadmap to accelerate the energy transition in developing countries. Energy Res. Soc. Sci. 70, 101716 (2020). https://doi.org/10.1016Zj.erss.2020.101716 [CrossRef] [Google Scholar]
  4. B. Desalegn, D. Gebeyehu, B. Tamrat, Wind energy conversion technologies and engineering approaches to enhancing wind power generation: A review. Heliyon 8, 11 (2022). https://doi.org/10.1016/j.heliyon.2022.e11263 [Google Scholar]
  5. M. M. Mahmoud, M. Khalid Ratib, M. M. Aly, A. M. M. Abdel-Rahim, Wind-driven permanent magnet synchronous generators connected to a power grid: Existing perspective and future aspects. Wind Eng. 46, 189–199 (2022). https://doi.org/10.1177/0309524X211022728 [CrossRef] [Google Scholar]
  6. M. M. Mahmoud, M. M. Aly, A. M. M. Abdel-Rahim, Enhancing the dynamic performance of a wind-driven PMSG implementing different optimization techniques. SN Appl. Sci. 2, 1–19 (2020). https://doi.org/10.1007/s42452-020-2439-3 [Google Scholar]
  7. N. Mlilo, J. Brown, T. Ahfock, Impact of intermittent renewable energy generation penetration on the power system networks: A review. Technol. Econ. Smart Grids Sustain. Energy 6, 25 (2021). https://doi.org/10.1007/s40866-021-00123-w [CrossRef] [Google Scholar]
  8. S. J. Gambhire, D. R. Kishore, P. S. Londhe, S. N. Pawar, Review of sliding mode based control techniques for control system applications. Int. J. Dyn. Control 9, 363–378 (2021). https://doi.org/10.1007/s40435-020-00638-7 [CrossRef] [MathSciNet] [Google Scholar]
  9. A. Elnozahy, A. M. Yousef, F. K. Abo-Elyousr, M. Mohamed, S. A. M. Abdelwahab, Performance improvement of hybrid renewable energy sources connected to the grid using artificial neural network and sliding mode control. J. Power Electron. 21, 1166–1179 (2021). https://doi.org/10.1007/s43236-021-00242-8 [CrossRef] [Google Scholar]
  10. M. S. Nazir, F. Alturise, S. Alshmrany, H. M. J. Nazir, M. Bilal, A. N. Abdalla, Z. M. Ali, Wind generation forecasting methods and proliferation of artificial neural network: A review of five years research trend. Sustainability 12, 3778 (2020). https://doi.org/10.3390/su12093778 [CrossRef] [Google Scholar]
  11. Y. Zhu, Z. Ma, Z. Wang, An improved fuzzy logic basedDC-link voltage control strategy for smoothing output power of the PMSG-WECS. Energy Rep. 8, 8413–8425 (2022). https://doi.org/10.1016/j.egyr.2022.06.049 [CrossRef] [Google Scholar]
  12. B. Majout, H. El Alami, H. Salime, N. Zine Laabidine, Y. El Mourabit, S. Motahhir, B. Bossoufi, A review on popular control applications in wind energy conversion system based on permanent magnet generator PMSG. Energies 15, 6238 (2022). https://doi.org/10.3390/en15176238 [CrossRef] [Google Scholar]
  13. A. Abedi, B. Rezaie, A. Khosravi, M. Shahabi, DC-bus Voltage Control based on Direct Lyapunov Method for a Converterbased Stand-alone DC Micro-grid. Electric Power Syst. Res. 187, 106451 (2020). https://doi.org/10.1016/j.epsr.2020.106451 [CrossRef] [Google Scholar]
  14. L. Xiong, P. Li, M. Ma, Z. Wang, J. Wang, Output power quality enhancement of PMSG with fractional order sliding mode control. Int. J. Electr. Power Energy Syst. 115, 105402 (2020). https://doi.org/10.1016/j.ijepes.2019.105402 [CrossRef] [Google Scholar]
  15. A. N. Akpolat, M. R. Habibi, H. R. Baghaee, E. Dursun, A. E. Kuzucuoglu, Y. Yang, F. Blaabjerg, Dynamic stabilization of DC microgrids using ANN-based model predictive control. IEEE Trans. Energy Convers. 37, 999–1010 (2021). https://doi.org/10.1109/TEC.2021.3118664 [Google Scholar]
  16. M. Amir, A. K. Prajapati, S. S. Refaat, Dynamic performance evaluation of grid-connected hybrid renewable energy-based power generation for stability and power quality enhancement in smart grid. Frontiers Energy Res. 10, 861282 (2022). https://doi.org/10.3389/fenrg.2022.861282 [CrossRef] [Google Scholar]
  17. V. Y. Xie, V. Adrian, S.-Y. Tay, J. Lee, P. K. Chan, J. Chang, An Accurate Digital Inductor Current Sensor for CurrentRipple-Based DC-DC Converters. in 2023 IEEE Int. Symp. Circuits Syst. (ISCAS), Monterey, CA, USA (2023), 1–5. https://doi.org/10.1109/ISCAS46773.2023.10181635 [Google Scholar]
  18. M. Benydir, O. M’Hand, S. Mouslim, et al., Implementation and analysis of a fuzzy logic and sliding mode controller on a boost DC/DC converter in a PV array. Int. J. Renew. Energy Res. 13, 294–301 (2023). https://doi.org/10.20508/ijrer.v13i1.13862.g8683 [Google Scholar]
  19. L. Wu, J. Liu, S. Vazquez, S. K. Mazumder, Sliding mode control in power converters and drives: A review. IEEE/CAA J. Automatica Sinica 9, 392–406 (2021). https://doi.org/10.1109/JAS.2021.1004380 [Google Scholar]
  20. S. J. Gambhire, D. R. Kishore, P. S. Londhe, S. N. Pawar, Review of sliding mode based control techniques for control system applications. Int. J. Dyn. Control 9, 363–378 (2021). https://doi.org/10.1007/S40435-020-00638-7 [CrossRef] [MathSciNet] [Google Scholar]

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