The DOI matches its Crossref record.
Impact of widespread photovoltaics generation on distribution systems
Abstract
Prompted by the need for clean energy sources, increasing numbers of photovoltaic (PV) generators are being connected to electricity distribution systems around the world. There is thus a growing imperative to understand and quantify the technical impact that high penetrations of such generators may have on the operation and performance of electricity distribution systems. Detailed simulations of a very high penetration of PV within a typical UK urban distribution network (11 kV, 400 V and 230 V) are reported. The study performed unbalanced three-phase load-flow analysis on an entire feeder within a time-domain simulation framework using load and generation data at 1 minute intervals. The results indicate that even at very high penetrations of PV, network voltage rises are small and unlikely to cause problems. Effects on network power flows and losses are also quantified and discussed.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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?
In the citing paper
“The PVHC can vary drastically from almost 0% up to several hundred, e.g., 30% PVHC was calculated for a typical United Kingdom urban medium voltage distribution network in [57] and 100% PVHC for an MV network in the United States (only 2.5 kW PV per PoC was considered) [63].”
From Stochastic Approach for Increasing the PV Hosting Capacity of a Low-Voltage Distribution Network (2022) · cites this paper as [57]
In the citing paper
“A study in 2007 [57] in which 30% PVHC was calculated, with voltage limitation, in an LV of a United Kingdom network.”
From Stochastic Approach for Increasing the PV Hosting Capacity of a Low-Voltage Distribution Network (2022) · cites this paper as [57]
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 3
- Markvart, T.: ‘Solar electricity’, (Wiley 1999)
- Levi, 2005, Presented at CIRED 18th International Conference on Electricity Distribution
- Thomson, 2000, 14, 71
Cited by
Sorted by citations
Items 301–318 of 318
Wu, J.-Y., Wang, Y., Wei, X., Zhang, W., Chen, C., & Wu, L. (2022) · Energy Conversion and Management: X · doi:10.1016/j.ecmx.2022.100321
RetractedJintaka, D. R., Priambodo, N. W., Harsono, B., & Hartono, J. (2021) · doi:10.1088/1757-899x/1098/4/042055
Singh, B., Dubey, A., Verma, N., & Chakrabarti, S. (2020) · National Power Systems Conference · doi:10.1109/npsc49263.2020.9331857
“, more deficit in power [3] and high variation in voltage regulation [4].”
BackgroundLin, C.-H., Liu, H., & Wang, C.-M. (2019) · IEEE International Future Energy Electronics Conference · doi:10.1109/ifeec47410.2019.9015150
“(5) and G and T [11]: pv = STC ∙ STC 1 + T( − STC) (6)”
Long-Term Reliability Analysis of a Microgrid on Isolated Mode Using CPN Formalism
Machado, P., de Souza, L. E., & Maun, J. (2017) · Practical Applications of Agents and Multi-Agent Systems · doi:10.1007/978-3-319-61578-3_5
Analysis of storage and microgeneration impacts on LV network losses
Fidalgo, J. N., & Moura, E. M. F. (2017) · 2017 IEEE Manchester PowerTech · doi:10.1109/ptc.2017.7981151
Assessment of control methods for PV fed three phase VSI and its application to various loads
Jain, M., Banerjee, S., Mahawar, M., Sinha, S., & Sukriti (2016) · International Conference on Recent Advances and Innovations in Engineering · doi:10.1109/icraie.2016.7939494
Hossain, M. I. (2016) · doi:10.14264/uql.2016.824
“Similar studies have not focused much on high PV system penetration until a British investigation of a balanced test network [54] increased PV system penetration from 30% to 50% to observe the impact of ten-minute-interval average voltage at low voltage customer connection”
BackgroundAn Experimental Study to Investigate PQ Impacts in a Grid Connected PV System
Swarna, K., Vinayagam, A., Khoo, S., & Stojcevski, A. (2016) · doi:10.11648/j.ijrse.20160504.11
Modelling of embedded PV generation in distribution networks
Choo, X., Mansour, J., Negnevitsky, M., & Halley, A. (2015) · Australasian Universities Power Engineering Conference · doi:10.1109/aupec.2015.7324818
“The authors in [8] used a very different approach when considering the impact of PV on distribution networks.”
MethodUsing reliability analysis for sustained wind farm Operation in remote and weak transmission areas
Okoronkwo, J. O. (2013) · 2013 IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON) · doi:10.1109/nigercon.2013.6715671
Kaewniyompanit, S., Sugihara, H., Tsuji, K., Funabashi, T., Okuno, Y., & Hayashi, T. (2010) · doi:10.1541/ieejpes.130.149
Photovoltaics literature survey (No. 56)
Shalav, A. (2007) · doi:10.1002/pip.785
Comparative analysis of loss-aware optimal power flow considering droop-controlled inverters
Lim, S., Kim, G.-H., & Lee, J.-O. (2027) · Electric power systems research · doi:10.1016/j.epsr.2026.114284
Khamchaleun, T., Surawanitkun, C., & Kaewrawang, A. (2020) · doi:10.12720/sgce.9.4.737-745
Zdraveski, V. (2019) · Journal of Electrical Engineering and Information Technologies · doi:10.51466/jeeit1941-2069z
“For the efficiency of photovoltaic modules in the conversion of solar energy to electricity, as well as for the efficiency of the DC/AC system, catalog data for devices of this type will be used [11].”
BackgroundDávi, G. A. (2018) · doi:10.20868/upm.thesis.51655
“CFPV = YF 8760 = EPV,anual [kWhAC] P0 [kWDC] .”
BackgroundInfluentialImpact of Grid Connected PV System on Distribution Networks : A Review
Mane, A., Kamble, A., Sarode, D., & Rode, R. P. (2017) · doi:10.23883/ijrter.2017.3381.6u42l
Metadata
- Authors
- Thomson, M., & Infield, D. G.
- Affiliations
- Loughborough University (GB)
- ORCID
- Thomson, M.
- Venue
- IET Renewable Power Generation
- Published
- 2007-03-12
- Volume
- 1
- Issue
- 1
- Pages
- 33-40
- ISSN
- 1752-1416 (ISSN-L)
- 1752-1424
- OpenAlex
- W1987860361
- Cited by
- 350
- References
- 0
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 5 · 2023: 10 · 2022: 15 · 2021: 12 · 2020: 19 · 2019: 21 · 2018: 21 · 2017: 40 · 2016: 32 · 2015: 25 · 2014: 42 · 2013: 23 · 2012: 24
- FWCI
- 10.09
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IET Renewable Power Generation (publishedVersion)
- Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) (submittedVersion)
- Funders
- Engineering and Physical Sciences Research Council
- Core Research for Evolutional Science and Technology
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Energy › Energy Engineering and Power Technology › Power Systems and Renewable Energy
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Power Quality and Harmonics
- Keywords
- photovoltaic penetration, distribution networks, urban distribution networks, time-domain simulation, power flow, transmission loss, distributed generation
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
