Open Access
Issue
E3S Web Conf.
Volume 680, 2025
The 4th International Conference on Energy and Green Computing (ICEGC’2025)
Article Number 00029
Number of page(s) 9
DOI https://doi.org/10.1051/e3sconf/202568000029
Published online 19 December 2025
  1. B. Popadić, B. Dumnić, V. Katić, D. Šljivac, and D. Pelin, “Overview of grid connected converter synchronization techniques under different grid voltage conditions,” Proc. Int. Conf. Smart Syst. Technol. 2017, SST 2017, vol. 2017-December, pp. 99–105, Dec. 2017, doi: 10.1109/SST.2017.8188677. [Google Scholar]
  2. R. Moutchou and A. Abbou, “Control of grid side converter in wind power based PMSG with PLL method,” Int. J. Power Electron. Drive Syst., vol. 12, no. 4, pp. 2191–2200, Dec. 2021, doi: 10.11591/IJPEDS.V12.I4.PP2191-2200. [Google Scholar]
  3. M. S. Nkambule, A. N. Hasan, A. Ali, and T. Shongwe, “A Novel Control Strategy in Grid-Integrated Photovoltaic System for Power Quality Enhancement,” Energies 2022, Vol. 15, Page 5645, vol. 15, no. 15, p. 5645, Aug. 2022, doi: 10.3390/EN15155645. [Google Scholar]
  4. I. En-Naoui, A. Radouane, A. Mouhsen, E. Jarmouni, and E. Ennajih, “DSP implementation and discretization of phase locked loop methods in presence of grid imperfections,” Int. J. Power Electron. Drive Syst., vol. 15, no. 3, pp. 1490–1498, Sep. 2024, doi: 10.11591/IJPEDS.V15.I3.PP1490-1498. [Google Scholar]
  5. S. Natesan and J. Venkatesan, “A SRF-PLL Control Scheme for DVR to Achieve Grid Synchronization and PQ Issues Mitigation in PV Fed Grid Connected System,” Circuits Syst., vol. 07, no. 10, pp. 2996–3015, 2016, doi: 10.4236/CS.2016.710256. [Google Scholar]
  6. F. SEVİLMİŞ and H. KARACA, “Performance analysis of SRF-PLL and DDSRF-PLL algorithms for grid interactive inverters,” Int. Adv. Res. Eng. J., vol. 3, no. 2, pp. 116–122, Aug. 2019, doi: 10.35860/IAREJ.412250. [Google Scholar]
  7. A. Ghoshal Vinod John, A. Ghoshal, and V. John, “Performance evaluation of three phase SRF-PLL and MAF-SRF-PLL,” Turkish J. Electr. Eng. Comput. Sci., vol. 23, no. 6, pp. 1781–1804, Jan. 2015, doi: 10.3906/elk-1404-488. [Google Scholar]
  8. D. Wang, L. Yang, and L. Ni, “Performance and harmonic detection algorithm of phase locked Loop for parallel APF,” Energy Informatics, vol. 7, no. 1, pp. 1–19, Dec. 2024, doi: 10.1186/S42162-024-00325-3/FIGURES/11. [Google Scholar]
  9. G. A. Herrejón-Pintor, E. Melgoza-Vázquez, and J. L. Monroy-Morales, “A Three-Phase Synchronization Algorithm Based on a Modified DSOGI with Adjustable Re-Filtering,” Energies 2023, Vol. 16, Page 6500, vol. 16, no. 18, p. 6500, Sep. 2023, doi: 10.3390/EN16186500. [Google Scholar]
  10. A. A. Nazib, D. G. Holmes, and B. P. McGrath, “Decoupled DSOGI-PLL for Improved Three Phase Grid Synchronisation,” 2018 Int. Power Electron. Conf. IPEC-Niigata - ECCE Asia 2018, pp. 3670–3677, Oct. 2018, doi: 10.23919/IPEC.2018.8507364. [Google Scholar]
  11. A. Kulkarni and V. John, “Design of a fast response time single-phase PLL with DC offset rejection capability,” Conf. Proc. - IEEE Appl. Power Electron. Conf. Expo. - APEC, vol. 2016-May, pp. 2200–2206, May 2016, doi: 10.1109/APEC.2016.7468172. [Google Scholar]
  12. S. Ke and Y. Li, “Analysis and modelling of a phase-locked loop based on a novel cascade structure of SOGI,” IET Power Electron., vol. 16, no. 15, pp. 2549–2559, Nov. 2023, doi: 10.1049/PEL2.12581. [Google Scholar]
  13. A. Kulkarni and V. John, “Design of a fast response time single-phase PLL with dc offset rejection capability,” Electr. Power Syst. Res., vol. 145, pp. 35–43, Apr. 2017, doi: 10.1016/J.EPSR.2016.12.023. [Google Scholar]
  14. E. Jarmouni, A. Mouhsen, M. Lamhamedi, H. Ouldzira, and I. En-Naoui, “Integration of an optimized neural network in a photovoltaic system to improve maximum power point tracking efficiency,” Indones. J. Electr. Eng. Comput. Sci., vol. 28, no. 3, pp. 1276–1285, Dec. 2022, doi: 10.11591/IJEECS.V28.I3.PP1276-1285. [Google Scholar]
  15. E. Hosseini, B. Saeedpour, M. Banaei, and R. Ebrahimy, “Optimized deep neural network architectures for energy consumption and PV production forecasting,” Energy Strateg. Rev., vol. 59, p. 101704, May 2025, doi: 10.1016/J.ESR.2025.101704. [Google Scholar]
  16. A.-N. Sharkawy, “The effect of increasing hidden layers on the performance of the deep neural network: modelling, investigation, and evaluation,” Res. Eng. Struct. Mater., Nov. 2024, doi: 10.17515/RESM2024.442ST0909TN. [Google Scholar]

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