Congestion-Driven Dynamic Hosting Capacity Enhancement Framework using Distribution Network Reconfiguration

Main Article Content

Thunpisit Pothinun
Paramet Wirasanti

Abstract

Traditional hosting capacity (HC) assessment methods for distribution networks commonly rely on static rule-of-thumb criteria, which often impose overly conservative limits leading to the underutilization of existing network assets. However, modern distribution networks operate under high dynamic load demand and power generation. Addressing these dynamics, this study proposes a congestion-driven framework to enhance HC through optimal radial network reconfiguration. An optimization-based network reconfiguration approach was employed to alleviate congestion and increase HC in the distribution network. Furthermore, the framework integrates the calculation of Dynamic Operating Envelopes (DOE) to allocate active power export and import limits for individual distributed generation (DG) and loads. Validated on a modified IEEE 33-bus system, the simulation results demonstrate that the proposed framework extends the allowable DG penetration from 280% in the static base case to 500%, while simultaneously reducing daily operational costs by up to 12.0%.

Article Details

How to Cite
Pothinun, T., & Wirasanti, P. (2026). Congestion-Driven Dynamic Hosting Capacity Enhancement Framework using Distribution Network Reconfiguration . ECTI Transactions on Electrical Engineering, Electronics, and Communications, 24(2). https://doi.org/10.37936/ecti-eec.2026242.263402
Section
Electrical Power Systems
Author Biographies

Thunpisit Pothinun, Department of Electrical Engineering Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand

THUNPISIT POTHINUN received the B.Eng. degree with second class honors and the M.Eng. degree in electrical engineering from Chiang Mai University, Chiang Mai, Thailand, in 2013 and 2019, respectively. He is currently pursuing the Ph.D. degree in electrical engineering at Chiang Mai University. He has been an Electrical Engineer with the Provincial Electricity Authority (PEA), Thailand, since 2013. His research interests include power system planning, smart grid integration, power system fault analysis, power quality, and renewable energy.

Paramet Wirasanti, Department of Electrical Engineering Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand

PARAMET WIRASANTI received the B.Eng. degree in electrical engineering from Chiang Mai University, Thailand, in 2003, the M.S. degree in electrical engineering from Leibniz University Hannover, Hannover, Germany, in 2008, and Ph.D. degree in electrical engineering from South Westphalia University of Applied Sciences, Soest, Germany collaboration with University of Bolton, UK, in 2014. Currently, he is a lecturer at Department of Electrical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand. His research interests are in the areas of automated control functions in distribution power supply systems and power systems management.

References

IEA, World Energy Outlook 2024. Paris, France: IEA, 2024. [Online]. Available: https://www.iea.org/reports/world-energy-outlook-2024

W. Deng, D. Xiao, M. Chen, S. Chen, and D. Zhu, "OLTC-driven network reconfiguration for enhanced renewable hosting capacity," in Proc. IEEE Conf., 2024, pp. 1-6.

E. T. Sayed et al., "Renewable energy and energy storage systems," Energies, vol. 16, no. 3, Art. no. 1415, Jan. 2023.

S. M. Ismael, S. H. E. Abdel Aleem, A. Y. Abdelaziz, and A. F. Zobaa, "State-of-the-art of hosting capacity in modern power systems with distributed generation," Renew. Energy, vol. 130, pp. 1002-1020, Jan. 2019.

R. Torquato, D. Salles, C. O. Pereira, P. C. M. Meira, and W. Freitas, "A comprehensive assessment of PV hosting capacity on low-voltage distribution systems," IEEE Trans. Power Del., vol. 33, no. 2, pp. 1002-1012, Apr. 2018.

H. Al-Saadi, R. Zvanovic, and S. F. Al-Sarawi, "Probabilistic hosting capacity for active distribution networks," IEEE Trans. Ind. Informat., vol. 13, no. 5, pp. 2519-2532, Oct. 2017.

F. Ding and B. Mather, "On distributed PV hosting capacity estimation, sensitivity study, and improvement," IEEE Trans. Sustain. Energy, vol. 8, no. 3, pp. 1010-1020, Jul. 2017.

S. Wang, S. Chen, L. Ge, and L. Wu, "Distributed generation hosting capacity evaluation for distribution systems considering the robust optimal operation of OLTC and SVC," IEEE Trans. Sustain. Energy, vol. 7, no. 3, pp. 1111-1123, Jul. 2016.

L. Herding, L. Carvalho, R. Cossent, and M. Rivier, "A security-aware dynamic hosting capacity approach to enhance the integration of renewable generation in distribution networks," Electr. Power Syst. Res., vol. 229, 2024.

"Review on the PV hosting capacity in distribution networks," Energies, vol. 13, no. 4756, 2020.

Z. M. Zenhom et al., "A comprehensive review of renewables and electric vehicles hosting capacity in active distribution networks," IEEE Access, vol. 12, pp. 3665-3693, 2024.

J. Xiao et al., "Enhancing hosting capacity of uncertain and correlated wind power in distribution network with ANM strategies," IEEE Access, vol. 8, pp. 189116-189127, 2020.

F. Capitanescu, L. F. Ochoa, H. Margossian, and N. D. Hatziargyriou, "Assessing the potential of network reconfiguration to improve distributed generation hosting capacity in active distribution systems," IEEE Trans. Power Syst., vol. 30, no. 1, pp. 346-356, Jan. 2015.

Y.-Y. Fu and H.-D. Chiang, "Toward optimal multiperiod network reconfiguration for increasing the hosting capacity of distribution networks," IEEE Trans. Power Del., vol. 33, no. 5, pp. 2294-2304, Oct. 2018.

D. Jakus, R. Čadenović, J. Vasilj, and P. Sarajčev, "Maximizing distribution network hosting capacity through optimal network reconfiguration," in Proc. 16th Int. Conf. Eur. Energy Market (EEM), 2019, pp. 1-5.

M. Alturki and A. Khodaei, "Increasing distribution grid hosting capacity through optimal network reconfiguration," in Proc. North Amer. Power Symp. (NAPS), 2018, pp. 1-6.

B. B. Navarro and M. M. Navarro, "Increasing distribution system PV hosting capacity using network-based optimization techniques," in Proc. IEEE Region 10 Conf. (TENCON), 2019, pp. 1-6.

M. Milovanović, J. Tasić, and M. Nimrihter, "Dynamic reconfiguration of distribution networks considering hosting capacity: A risk-based approach," IEEE Trans. Power Syst., vol. 38, no. 4, pp. 3440-3453, Jul. 2023.

M. Jafari et al., "Dynamic reconfiguration considering hosting capacity in active distribution networks," in Proc. IEEE PES Gen. Meeting, 2021, pp. 1-5.

W. Cao, J. Wu, N. Jenkins, C. Wang, and T. Green, "Operating principle of soft open points for electrical distribution network operation," Appl. Energy, vol. 164, pp. 245-257, 2016.

S. Zhang, Y. Fang, H. Zhang, H. Cheng, and X. Wang, "Maximum hosting capacity of photovoltaic generation in SOP-based power distribution network integrated with electric vehicles," IEEE Trans. Ind. Informat., vol. 18, no. 11, pp. 8213-8224, Nov. 2022.

M. Taghavi, H. Delkhosh, M. P. Moghaddam, and A. S. Fini, "Hosting capacity enhancement of hybrid AC/DC distribution network based on static and dynamic reconfiguration," IET Gener. Transm. Distrib., vol. 17, no. 17, pp. 3765-3780, 2023.

M. Deakin et al., "Hybrid open points: An efficient tool for increasing network capacity in distribution systems," IEEE Trans. Power Del., vol. 37, no. 2, pp. 1339-1342, Apr. 2022.

S. Hermawan, L. M. Putranto, H. R. Ali, and F. Saputra, "Determination of PV hosting capacity on the 20 kV distribution network considering network configuration," in Proc. IEEE Conf., 2023, pp. 1-6.

V. Panchalogaranjan and P. Moses, "Utilizing PSO technique for locational-dependent feeder PV hosting capacity evaluation," in Proc. IEEE Power Energy Soc. Gen. Meeting, 2023, pp. 1-5.

J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proc. IEEE Int. Conf. Neural Netw., 1995, vol. 4, pp. 1942-1948.

S. H. Dolatabadi, M. Ghorbanian, P. Siano and N. D. Hatziargyriou, "An Enhanced IEEE 33 Bus Benchmark Test System for Distribution System Studies," in IEEE Transactions on Power Systems, vol. 36, no. 3, pp. 2565-2572, May 2021