A novel impact-assessment framework for distributed PV installations in low-voltage secondary networks
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From a customer-centric viewpoint, the HC calculation problem becomes probabilistic due to uncertainties since distribution network operators do not have control over the location, size, or number of PV installations.
“From a customer-centric viewpoint, the HC calculation problem becomes a probabilistic one due to uncertainties since the distribution network operators do not have control over the location, size, or number of PV installations [14,55].”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [55]
For customer-based HC calculations, the stochastic method is mostly preferred.
“In this case, the stochastic method is mostly preferred for HC calculations.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [55]
The study in [55] observed that for higher cumulative distribution functions, there was no significant difference in the probability of reverse power flow occurring.
“The study observed that for higher cumulative distribution functions, there was no significant difference in the probability of reverse power flow occurring.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [55]
A multi-objective function optimization problem for the size and location of aggregated PV installations applied on a realistic distribution network is reported in [55].
“A multi-objective function optimization problem for the size and location of aggregated PV installations applied on a realistic distribution network is reported in [55].”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [55]
The objective function of the study in [55] is to minimize total energy losses, voltage deviations, and voltage fluctuations.
“The objective function of the study is to minimize total energy losses, voltage deviations, and voltage fluctuations.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [55]
The probabilistic method is often used in the PLF, with Monte Carlo Simulation (MCS) as the most common technique for generating random scenarios such as PV generation, location, size, and load profiles.
“However, the probabilistic method is often used in the PLF with Monte Carlo Simulation (MCS) as the most common technique for generating random scenarios such as PV generation, location, size, and load profiles [55,94].”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [55]
Cites
Electric Power Distribution Engineering
Gonen, T. (2015) · doi:10.1201/b16455 · Cited by 287 · 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
- Authors
- Sadeghian, H., & Wang, Z.
- Affiliations
- Virginia Commonwealth University (US)
- Corresponding author
- Wang, Zhifang
- Venue
- Renewable Energy
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 147
- Pages
- 2179-2194
- ISSN
- 0960-1481 (ISSN-L)
- OpenAlex
- W2975008628
- Cited by
- 64
- References
- 1
- Citations by year
- 2026: 1 · 2025: 14 · 2024: 10 · 2023: 13 · 2022: 9 · 2021: 12 · 2020: 5
- FWCI
- 2.34
- Type
- journal article
- Language
- en
- Update notices
- Open access
- closed
- Locations
- Renewable Energy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Photovoltaic System Optimization Techniques
- Keywords
- distributed photovoltaic generation, low-voltage distribution networks, impact assessment, reverse power flow, voltage violation, voltage fluctuation, LiDAR, synthetic load profiles, multi-objective optimization, Monte Carlo simulation, photovoltaic penetration
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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