Cited by 34Optimal Power Flow DistributionThermal Analysis in Power TransmissionPower System Reliability and Maintenance

Probabilistic hosting capacity assessment towards efficient PV-rich low-voltage distribution networks

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Qammar, Naveed, Arshad, Ammar, Miller, Robert John, Mahmoud, Karar, Lehtonen, Matti·2024·Electric Power Systems Research

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Crossref · 10.1016/j.epsr.2023.109940

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1 of 1 references verified0 citation errors · 0 not checkable

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  • Probabilistic hosting capacity assessment methods and probabilistic load flow tools have been introduced to quantify the impact of high PV penetration on voltage profiles in large sets of realistic LV networks.

    “In parallel, probabilistic hosting capacity assessment methods and probabilistic load flow tools have been introduced to quantify the impact of high PV penetration on voltage profiles in large sets of realistic LV networks [95,96].”

    From Voltage Regulation in Rooftop PV-Rich Distribution Networks: A Review and Detailed Case Study (2026) · cites this paper as [95]

    The indexed title and keywords identify this as a study of probabilistic hosting capacity in PV-rich low-voltage networks, with Monte Carlo simulations. The available passages are bibliographic material rather than the study text; they do not establish the use of probabilistic load-flow tools or an assessment of voltage profiles across large sets of realistic networks. (LLM, conf=0.76)

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Authors
Qammar, N., Arshad, A., Miller, R. J., Mahmoud, K., & Lehtonen, M.
Affiliations
  • Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (PK)
  • Aalto University (FI)
  • Aswan University (EG)
Corresponding author
Arshad, Ammar
Venue
Electric Power Systems Research
Publisher
Elsevier BV
Published
2024-01
Volume
226
Pages
109940
ISSN
0378-7796 (ISSN-L)
OpenAlex
W4387852516
Cited by
34
References
1
Citations by year
2026: 18 · 2025: 11 · 2024: 5
FWCI
2.53
Type
journal article
Language
en
Open access
Locations
  • Electric Power Systems Research (publishedVersion)
  • Aaltodoc (Aalto University) (submittedVersion, cc-by-nc-nd)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
  • Physical Sciences › Engineering › Control and Systems Engineering › Thermal Analysis in Power Transmission
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Power System Reliability and Maintenance
Keywords
hosting capacity, photovoltaics, low-voltage distribution networks, probabilistic analysis, voltage violation, transformer overload, Monte Carlo simulation

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