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Solar PV hosting capacity methods and industrial application gaps
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0002-3449-1579
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0003-4074-9529
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0003-0749-7366
2021 (English)In: CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution, Institution of Engineering and Technology, 2021, p. 1757-1761, article id 0045Conference paper, Published paper (Refereed)
Abstract [en]

With falling prices both the size and number of installations of single-phase and three-phase solar photovoltaics (PV) units is expected to continue to increase in distribution networks. The increase in solar PV units will have an impact on the power quality of the distribution network. There is a need to propose transparent methods that can be used to quantify the acceptable limit of solar PV penetration objectively, called the hosting capacity (HC). The fundamental methods for the quantification of hosting capacity include; deterministic, stochastic and time-series. Which of the latter method is the most appropriate for determining the hosting capacity? A comparison of the three methods based on the input data need, accuracy, uncertainties considered, time-related and models are done. Many academic and industrial studies have been published applying the hosting capacity method. Differences between the scientific and industrial application of the hosting capacity methods are presented in this paper. There is a need to expose the industrial application of solar PV hosting capacity methods.

Place, publisher, year, edition, pages
Institution of Engineering and Technology, 2021. p. 1757-1761, article id 0045
Keywords [en]
Deterministic, Stochastic, Time-series, Hosting capacity, Power distribution
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-87837DOI: 10.1049/icp.2021.1784Scopus ID: 2-s2.0-85156100942OAI: oai:DiVA.org:ltu-87837DiVA, id: diva2:1609579
Conference
26th International Conference and Exhibition on Electricity Distribution (CIRED 2021), Online, September 20-23, 2021
Funder
Swedish Energy Agency
Note

ISBN för värdpublikation: 978-1-83953-591-8 (elektroniskt);

Funder: Skellefteå Kraft; Umeå Energi

Available from: 2021-11-08 Created: 2021-11-08 Last updated: 2024-11-20Bibliographically approved

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Mulenga, EnockBollen, MathEtherden, Nicholas

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