Maximum PV generation estimation method for residential low voltage feeders
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The HC for a residential LV feeder estimated using an analytical approach to the deterministic method showed an error of less than 0.7 V for all tested scenarios.
“Their result indicates an error of less than 0.7 V for all the tested scenarios.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [65]
Cites
Monte Carlo-based assessment of PV impacts on real UK low voltage networks
Navarro, A., Ochoa, L. F., & Randles, D. (2013) · 2013 IEEE Power & Energy Society General Meeting · doi:10.1109/pesmg.2013.6672620 · Cited by 93 · see citing works
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Umoh, V., Davidson, I., Adebiyi, A., & Ekpe, U. (2023) · Energies · doi:10.3390/en16083609 · Cited by 71 · see citing works
Lucas, A. (2018) · Applied Sciences · doi:10.3390/app8081333 · Cited by 35 · see citing works
- Authors
- Heslop, S., MacGill, I., & Fletcher, J.
- Affiliations
- UNSW Sydney (AU)
- Corresponding author
- Heslop, Simon
- Venue
- Sustainable Energy, Grids and Networks
- Publisher
- Elsevier BV
- Published
- 2016-09
- Volume
- 7
- Pages
- 58-69
- ISSN
- 2352-4677 (ISSN-L)
- OpenAlex
- W2468872272
- Cited by
- 37
- References
- 1
- Citations by year
- 2025: 4 · 2024: 3 · 2023: 8 · 2022: 3 · 2021: 7 · 2020: 2 · 2019: 3 · 2018: 4 · 2017: 3
- FWCI
- 1.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Sustainable Energy Grids and Networks (publishedVersion)
- Funders
- Australian Renewable Energy Agency (ARENA)
- Australian PV Institute (APVI)
- 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 › Smart Grid Energy Management
- Keywords
- distributed photovoltaic generation, low-voltage feeders, voltage rise, reverse power flow, distribution network planning, network operation, photovoltaic penetration
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