The DOI matches its Crossref record; 12 of the 14 references it cites were found in a registry or an index.
A Two-stage Approach for Renewable Hosting Capacity Assessment
Abstract
Electricity distribution networks across the world are increasingly featured with renewable generation to meet sustainable energy requirements, while there is limited investment in network reinforcement. Hence, it is important to accurately evaluate the renewable hosting capacity of a distribution network to avoid any detrimental effect caused by increased penetration. In this context, this paper proposes a two-stage optimisation-based approach to calculate the maximum renewable hosting capacity of a distribution network without violating any security constraints. The approach is demonstrated using an IEEE 123-node distribution network with detailed simulations, and the results compared with two conventional approaches (experience-based and streamlined approach). The results indicate that the proposed approach can achieve higher hosting capacity as opposed to conventional approaches. In addition, this paper also presents detailed procedures to implement the two conventional approaches.
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The authors in [119] proposed a two-stage approach to determine the maximum PV HC of a distribution network using the metaheuristics algorithm optimization technique.
“The authors in [119] proposed a two-stage approach to determine the maximum PV HC of a distribution network using the metaheuristics algorithm optimization technique.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [119]
The method in [119], tested on the IEEE 123 node feeder, produced a more conservative HC value that is 13% higher when compared to the streamlined approach.
“The method that was tested on the IEEE 123 node feeder, produced a more conservative HC value that is 13% higher when compared to the streamlined approach.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [119]
Citations
Cites
State-of-the-art of hosting capacity in modern power systems with distributed generation
Ismael, S. M., Abdel Aleem, S. H. E., Abdelaziz, A. Y., & Zobaa, A. F. (2019) · Renewable Energy · doi:10.1016/j.renene.2018.07.008 · Cited by 599
El‐Zonkoly, A. M. (2011) · IET Generation Transmission & Distribution · doi:10.1049/iet-gtd.2010.0676 · Cited by 327
A self-adaptive multi-population based Jaya algorithm for engineering optimization
Rao, R. V., & Saroj, A. (2017) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2017.04.008 · Cited by 245
Optimization-based distribution grid hosting capacity calculations
Alturki, M., Khodaei, A., Paaso, A., & Bahramirad, S. (2018) · Applied Energy · doi:10.1016/j.apenergy.2017.10.127 · Cited by 134
Streamlined method for determining distribution system hosting capacity
Rylander, M., Smith, J., & Sunderman, W. (2016) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2015.2472357 · Cited by 94
Streamlined Method for Determining Distribution System Hosting Capacity
Rylander, M., Smith, J., & Sunderman, W. (2015) · IEEE Rural Electric Power Conference (REPC) · doi:10.1109/repc.2015.11 · Cited by 73
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Optimally Allocation of Distributed Generators in Three-Phase Unbalanced Distribution Network
Kumawat, M., Gupta, N., Jain, N., & Bansal, R. C. (2017) · Energy Procedia · doi:10.1016/j.egypro.2017.12.122 · Cited by 37
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Mulenga, E., & Bollen, M. (2018) · International Conference on Harmonics and Quality of Power · doi:10.1109/ichqp.2018.8378861 · Cited by 10
A Co-Simulation Framework for Distribution Network Analysis: Case Study of Hosting Capacity Analysis
Xu, X., Zhang, T., Qiu, Z., & Gao, H. (2023) · China Automation Congress (CAC) · doi:10.1109/cac59555.2023.10451457 · Cited by 5
Self-citation
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2 of the 14 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- rylander, 2015, Alternative to the 15% Rule
- alturki, 2011, Optimization-based distribution grid hosting capacity calculations, IET Gener Transm & Distrib, 6, 760
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Sorted by citations
Electric vehicle hosting capacity analysis: Challenges and solutions
Karmaker, A. K., Prakash, K., Siddique, M. N. I., Hossain, M. A., & Pota, H. R. (2023) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2023.113916 · Cited by 90
Umoh, V., Davidson, I., Adebiyi, A., & Ekpe, U. (2023) · Energies · doi:10.3390/en16083609 · Cited by 71
An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution Networks
Abideen, M. Z. U., Ellabban, O., Ahmad, F., & Al‐Fagih, L. (2022) · IEEE Access · doi:10.1109/access.2022.3221944 · Cited by 43
Research on Optimal Voltage Control of Distribution Network with the Participation of EVs and PVs
Yu, Z., Gao, F., Zhang, Z., Zhao, S., Xu, X., Meng, H., & Gao, H. (2023) · Applied Sciences · doi:10.3390/app13105987 · Cited by 16
Self-citationBrohi, N. A., Thirunavukkarasu, G. S., Seyedmahmoudian, M., Ahmed, K., Stojcevski, A., & Mekhilef, S. (2025) · Energies · doi:10.3390/en18112922 · Cited by 13
Violation-mitigation-based method for PV hosting capacity quantification in low voltage grids
Lliuyacc-Blas, R., & Kepplinger, P. (2022) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2022.108318 · Cited by 13
Fang, D., Zou, M., Harrison, G. P., Djokic, S., Ndawula, M. B., Xu, X., Hernando‐Gil, I., & Gunda, J. (2020) · International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) · doi:10.1109/pmaps47429.2020.9183525 · Cited by 12
Self-citationMajeed, I. B., & Nwulu, N. I. (2024) · IEEE Access · doi:10.1109/access.2024.3479885 · Cited by 7
Umoh, V. B. (2023) · DUT Open Scholar (Durban University of Technology) · doi:10.51415/10321/5245
Leksono, A. A. R., Banjar-Nahor, K. M., & Hariyanto, N. (2025) · International Conference on Power Systems and Electrical Technology (PSET) · doi:10.1109/pset66242.2025.11296426
Metadata
- Authors
- Xu, X., Gunda, J., Dowling, R., & Djokic, S.
- Affiliations
- Faraday Grid Ltd UK
- University of Edinburgh (GB)
- Venue
- 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)
- Publisher
- IEEE
- Published
- 2019-09
- Pages
- 1-5
- OpenAlex
- W2989595457
- Cited by
- 11
- References
- 14
- Citations by year
- 2025: 2 · 2024: 1 · 2023: 4 · 2022: 2 · 2020: 2
- FWCI
- 1.59
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE PES Innovative Smart Grid Technologies Europe (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Thermal Analysis in Power Transmission
- Keywords
- distribution networks, renewable energy integration, two-stage optimization, network reinforcement, security constraints, renewable energy penetration, IEEE 123-node test feeder
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