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MOPSO-Optimized Fuzzy Logic-Based Vector Control for Robust DC-Link Regulation in Grid-Connected Hybrid PV– Wind Energy Systems
Authors
1 Professor, Utilities and Sustainable Engineering, The University of Trinidad & Tobago UTT
Article Information
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- No Doi
- Published In
- Year 2026 · Volume 3 · Issue 1
- Published Online
- January-April 2026
- Pages
- 55-67
- Article Type
- Original Article
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References
1. K. N. Khallouf et al., “Adaptive fuzzy logic control for microgrid-connected hybrid photovoltaic/wind generation systems,” Energy Reports,
2024. DOI: 10.1016/j.egyr.2024.10.042
2. G. B. A. Kumar et al., “Adaptive hybrid particle swarm optimization and fuzzy logic controller for a solar–wind hybrid power system,” Int.
J. Appl. Power Eng., vol. 14, no. 2, pp. 498–512, 2025. DOI: 10.11591/ijape.v14.i2.pp498-512
3. Z. Liu et al., “Optimization of fuzzy control parameters for renewable systems,” Energies, 2024.
4. S. Kaloi, J. Wang, and M. Baloch, “Active and reactive power control of DFIG-based WECS,” Energy Reports, 2016. DOI:
10.1016/j.egyr.2016.08.001
5. W. Qiao et al., “Optimal PI control of DFIG using PSO,” IEEE IJCNN, 2006. DOI: 10.1109/IJCNN.2006.246944
6. H. Jabr and N. Kar, “Fuzzy gain tuning for vector control of DFIG,” IEEE CCECE, 2006. DOI: 10.1109/CCECE.2006.277691
7. A. Maafa et al., “Fuzzy logic-based smart control of WECS using CDFIG,” Sustainability, vol. 16, 2024. DOI: 10.3390/su16219333
8. Y. Ren et al., “Dynamic performance analysis of grid-connected DFIG using fuzzy logic,” IEEE ICMA, 2009. DOI:
10.1109/ICMA.2009.52460969. A. Elgammal, “Fuzzy logic–MPC driven MOPSO optimization for hybrid systems,” J. Energy Res. Rev., 2025. DOI:
10.9734/jenrr/2025/v17i12485
10. F. Boucetta et al., “Robust fuzzy logic control of DFIG systems,” Scientific Reports, 2025. DOI: 10.1038/s41598-025-11910-1
11. Dida et al., “Indirect power control of DFIG using backstepping,” IJECE, 2021. DOI: 10.11591/ijece.v11i3.pp1951-1961
12. Dbaghi et al., “Fuzzy logic-based synchronization of DFIG,” Computers & Electrical Engineering, 2020. DOI:
10.1016/j.compeleceng.2020.106647
13. Jeon and Paek, “Fuzzy logic-based LQR control of wind turbines,” Energies, 2021. DOI: 10.3390/en14010230
14. Zamzoum et al., “Indirect vector control of DFIG using fuzzy logic,” Energy Sci. Eng., 2018. DOI: 10.1002/ese3.215
15. Suganya and Rengarajan, “Enhanced control of DFIG using FLC,” J. Intell. Fuzzy Syst., 2014. DOI: 10.3233/IFS-130953
16. El-Sattar et al., “Dynamic response of DFIG under faults,” Electric Power Syst. Res., 2008. DOI: 10.1016/j.epsr.2007.10.005
17. Gomis-Bellmunt et al., “Ride-through control of DFIG under voltage sags,” IEEE Trans. Energy Convers., 2008. DOI:
10.1109/TEC.2008.2001440
18. Li and Chen, “Current control strategy for DFIG systems,” EPE-PEMC, 2006. DOI: 10.1109/EPEPEMC.2006.283411
19. Indranil Pan, Saptarshi Das, “Fractional order fuzzy control of hybrid power system with renewable generation using chaotic PSO,” ISA
Transactions, Volume 62, 2016, Pages 19-29, ISSN 0019-0578, https://doi.org/10.1016/j.isatra.2015.03.003.
(https://www.sciencedirect.com/science/article/pii/S001905781500083X).
20. Melhaoui, M., Rhiat, M., Oukili, M. et al. “Hybrid fuzzy logic approach for enhanced MPPT control in PV systems” Sci Rep 15, 19235
(2025). https://doi.org/10.1038/s41598-025-03154-w.
2024. DOI: 10.1016/j.egyr.2024.10.042
2. G. B. A. Kumar et al., “Adaptive hybrid particle swarm optimization and fuzzy logic controller for a solar–wind hybrid power system,” Int.
J. Appl. Power Eng., vol. 14, no. 2, pp. 498–512, 2025. DOI: 10.11591/ijape.v14.i2.pp498-512
3. Z. Liu et al., “Optimization of fuzzy control parameters for renewable systems,” Energies, 2024.
4. S. Kaloi, J. Wang, and M. Baloch, “Active and reactive power control of DFIG-based WECS,” Energy Reports, 2016. DOI:
10.1016/j.egyr.2016.08.001
5. W. Qiao et al., “Optimal PI control of DFIG using PSO,” IEEE IJCNN, 2006. DOI: 10.1109/IJCNN.2006.246944
6. H. Jabr and N. Kar, “Fuzzy gain tuning for vector control of DFIG,” IEEE CCECE, 2006. DOI: 10.1109/CCECE.2006.277691
7. A. Maafa et al., “Fuzzy logic-based smart control of WECS using CDFIG,” Sustainability, vol. 16, 2024. DOI: 10.3390/su16219333
8. Y. Ren et al., “Dynamic performance analysis of grid-connected DFIG using fuzzy logic,” IEEE ICMA, 2009. DOI:
10.1109/ICMA.2009.52460969. A. Elgammal, “Fuzzy logic–MPC driven MOPSO optimization for hybrid systems,” J. Energy Res. Rev., 2025. DOI:
10.9734/jenrr/2025/v17i12485
10. F. Boucetta et al., “Robust fuzzy logic control of DFIG systems,” Scientific Reports, 2025. DOI: 10.1038/s41598-025-11910-1
11. Dida et al., “Indirect power control of DFIG using backstepping,” IJECE, 2021. DOI: 10.11591/ijece.v11i3.pp1951-1961
12. Dbaghi et al., “Fuzzy logic-based synchronization of DFIG,” Computers & Electrical Engineering, 2020. DOI:
10.1016/j.compeleceng.2020.106647
13. Jeon and Paek, “Fuzzy logic-based LQR control of wind turbines,” Energies, 2021. DOI: 10.3390/en14010230
14. Zamzoum et al., “Indirect vector control of DFIG using fuzzy logic,” Energy Sci. Eng., 2018. DOI: 10.1002/ese3.215
15. Suganya and Rengarajan, “Enhanced control of DFIG using FLC,” J. Intell. Fuzzy Syst., 2014. DOI: 10.3233/IFS-130953
16. El-Sattar et al., “Dynamic response of DFIG under faults,” Electric Power Syst. Res., 2008. DOI: 10.1016/j.epsr.2007.10.005
17. Gomis-Bellmunt et al., “Ride-through control of DFIG under voltage sags,” IEEE Trans. Energy Convers., 2008. DOI:
10.1109/TEC.2008.2001440
18. Li and Chen, “Current control strategy for DFIG systems,” EPE-PEMC, 2006. DOI: 10.1109/EPEPEMC.2006.283411
19. Indranil Pan, Saptarshi Das, “Fractional order fuzzy control of hybrid power system with renewable generation using chaotic PSO,” ISA
Transactions, Volume 62, 2016, Pages 19-29, ISSN 0019-0578, https://doi.org/10.1016/j.isatra.2015.03.003.
(https://www.sciencedirect.com/science/article/pii/S001905781500083X).
20. Melhaoui, M., Rhiat, M., Oukili, M. et al. “Hybrid fuzzy logic approach for enhanced MPPT control in PV systems” Sci Rep 15, 19235
(2025). https://doi.org/10.1038/s41598-025-03154-w.
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