Practical power distance test tool based on OPF to assess feeder DG hosting capacity
Abstract
Voltage performance has become a sensitive issue since distribution network operators (DNOs) began to integrate a large amount of distribution generation (DG) in its distribution system. A set of voltage performance design criteria has been established by DNOs but the corresponding analytical method restricts it to exploit more headroom of DG hosting capacity. A methodology based on optimal power flow (OPF) technique is proposed to accommodate a higher level of DG penetration without an advanced distribution system (ADS), which strictly meets the voltage performance design criteria.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The developed tool in [120] can exploit more headroom of PV HC of the network compared to the existing analytical power distance tool.
“The results show that the developed tool can exploit more headroom of PV HC of the network compared to the existing analytical power distance tool.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [120]
The studies in [120] adopted a single objective of maximizing the PV total output using voltage constraints.
“The studies adopted a single objective of maximizing the PV total output using voltage constraints.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [120]
In [120], a simple power distance test tool based on OPF for HC assessment in a distribution network is presented.
“In [120], a simple power distance test tool based on OPF for HC assessment in a distribution network is presented.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [120]
Cited by
Sorted by citations
Umoh, V., Davidson, I., Adebiyi, A., & Ekpe, U. (2023) · Energies · doi:10.3390/en16083609 · Cited by 71 · see citing works
- Authors
- Wang, Z., Wang, X., & Tang, L.
- Affiliations
- Carleton University (CA)
- Hydro One (Canada) (CA)
- ORCID
- Wang, Xiaoyu
- Venue
- 2017 IEEE Electrical Power and Energy Conference (EPEC)
- Publisher
- IEEE
- Published
- 2017-10
- Volume
- 99
- Pages
- 1-6
- OpenAlex
- W2787159392
- Cited by
- 6
- References
- 0
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 3 · 2020: 1
- FWCI
- 0.39
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Electrical Power and Energy Conference (EPEC) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Keywords
- optimal power flow, distribution feeders, DG penetration level
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
