Recloser-Fuse Coordination Recovery in Photovoltaic-Integrated Distribution Networks via Inverter Phase Angle Optimization by Quasi-Oppositional-Chaotic-Symbiotic Organisms Search Algorithm
Published online: 29/09/2025
Corressponding author's email:
dtkhanh2002@hcmut.edu.vnDOI:
https://doi.org/10.54644/jte.2025.1764Keywords:
Inverter phase angle optimization, Recloser-fuse coordination, Symbiotic Organisms Search algorithm, Photovoltaic systems, Distribution network protectionAbstract
The paper presents the first application of the Quasi-Oppositional-Chaotic-Symbiotic Organisms Search (QOCSOS) algorithm to optimize the phase angles of inverters, aiming to minimize the discrepancy in short-circuit currents before and after integrating photovoltaic (PV) systems. This approach maintains the recloser-fuse coordination under fuse-saving schemes to address the frequent transient faults occurring in distribution networks. Depending on the location and penetration level of PV systems, recloser-fuse coordination may lose its selectivity. However, this research demonstrates that adjusting the magnitude and phase angle of inverter short-circuit currents can restore coordination without modifying the protection device settings. While the magnitude of the inverter's short-circuit current is regulated based on its characteristics, the phase angle is optimized using the QOCSOS algorithm. The effectiveness of QOCSOS in optimizing inverter phase angles is validated regardless of the PV systems' capacities and locations in the distribution network. To showcase the efficacy of the solution, the study was applied to a 22 kV distribution feeder of Tay Ninh power company, and the results were further verified through simulations in the ETAP software.
Downloads: 0
References
K. I. Jennette, C. D. Booth, F. Coffele, and A. J. Roscoe, “Investigation of the sympathetic tripping problem in power systems with large penetrations of distributed generation,” IET Gener. Transm. Distrib., vol. 9, no. 4, pp. 379–385, 2015. DOI: https://doi.org/10.1049/iet-gtd.2014.0169
IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems, IEEE Std 1547-2003, 2003.
N. Rajaei, M. H. Ahmed, M. M. A. Salama, and R. K. Varma, “Fault current management using inverter-based distributed generators in smart grids,” IEEE Trans. Smart Grid, vol. 5, no. 5, pp. 2183–2193, Sep. 2014. DOI: 10.1109/TSG.2014.2327167. DOI: https://doi.org/10.1109/TSG.2014.2327167
H. A. Abdel-Ghany, A. M. Azmy, N. I. Elkalashy, and E. M. Rashad, “Optimizing DG penetration in distribution networks concerning protection schemes and technical impact,” Electr. Power Syst. Res., vol. 114, pp. 113–122, 2015. DOI: https://doi.org/10.1016/j.epsr.2015.07.005
D. K. Ibrahim, E. Zahab, and A. Mostafa, “New coordination approach to minimize the number of re-adjusted relays when adding DGs in interconnected power systems with a minimum value of fault current limiter,” Electr. Power Energy Syst., vol. 85, pp. 32–41, 2017. DOI: https://doi.org/10.1016/j.ijepes.2016.08.003
H. Yazdanpanahi, Y. Li, and W. Xu, “A new control strategy to mitigate the impact of inverter-based DGs on protection systems,” IEEE Trans. Smart Grid, vol. 3, no. 3, pp. 1427–1436, Sep. 2012. DOI: https://doi.org/10.1109/TSG.2012.2184309
B. Hussain, S. M. Sharkh, and S. Hussain, “An adaptive relaying scheme for fuse saving in distribution networks with distributed generation,” IEEE Trans. Power Deliv., vol. 28, no. 2, pp. 669–677, 2013. DOI: https://doi.org/10.1109/TPWRD.2012.2224675
D. T. Khanh, T. H. Hoan, and T. H. B. Huy, “Optimal location and impacts of 1 MWP solar PV plants on distribution network protection,” VNUHCM J. Eng. Technol., vol. 4, no. 3, pp. 1036–1047, 2021.
Y. M. Makwana, B. R. Bhalja, and R. Gokaraju, “Improvement in recloser-fuse coordination technique based on modification factor,” IEEE Syst. J., vol. 14, no. 2, pp. 2770–2779, 2020. DOI: 10.1109/JSYST.2019.2921840. DOI: https://doi.org/10.1109/JSYST.2019.2921840
H. Bi, B. Fani, G. Shahgholian, I. Sadeghkhani, and J. M. Guerrero, “An adaptive fuse-saving protection scheme for active distribution networks,” Int. J. Electr. Power Energy Syst., vol. 144, 2023. DOI: https://doi.org/10.1016/j.ijepes.2022.108625
K. H. Truong, P. Nallagownden, Z. Baharudin, and D. N. Vo, “A quasi-oppositional-chaotic symbiotic organisms search algorithm for global optimization problems,” Appl. Soft Comput., vol. 77, pp. 567–583, 2019. DOI: https://doi.org/10.1016/j.asoc.2019.01.043
M. Y. Cheng and D. Prayogo, “Symbiotic organisms search: A new metaheuristic optimization algorithm,” Comput. Struct., vol. 139, pp. 98–112, 2014. DOI: https://doi.org/10.1016/j.compstruc.2014.03.007
J. Ji, S. Gao, S. Wang, Y. Tang, H. Yu, and Y. Todo, “Self-adaptive gravitational search algorithm with a modified chaotic local search,” IEEE Access, vol. 5, pp. 17881–17895, 2017. DOI: https://doi.org/10.1109/ACCESS.2017.2748957
D. Jia, G. Zheng, and M. K. Khan, “An effective memetic differential evolution algorithm based on chaotic local search,” Inf. Sci., vol. 181, no. 15, pp. 3175–3187, 2011. DOI: https://doi.org/10.1016/j.ins.2011.03.018
B. Fani, F. Hajimohammadi, M. Moazzami, and M. J. Morshed, “An adaptive current limiting strategy to prevent fuse-recloser miscoordination in PV-dominated distribution feeders,” Electr. Power Syst. Res., vol. 157, pp. 177–186, 2018. DOI: https://doi.org/10.1016/j.epsr.2017.12.020
Downloads
Published
How to Cite
License
Copyright (c) 2025 Journal of Technical Education Science
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright © JTE.
