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Likelihood of Overload due to connected Solar PV
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: 0000-0003-0749-7366
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0003-4074-9529
2021 (English)In: CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution, Institution of Engineering and Technology, 2021, p. 2376-2380, article id 0046Conference paper, Published paper (Refereed)
Abstract [en]

This paper applies a deterministic and stochastic approach to estimate the hosting capacity and likelihood of an overload at the cable cabinet or transformer due customers with solar PV. Distribution networks at 10 kV, suppling feeders with 1300 MV/LV transformers, have been studied. The paper also quantifies whether overvoltage or overload limits the hosting capacity first. Voltage and current measurements from a Northern Sweden distribution network have been applied in the paper. Illustrations are used to show the concept and important results are obtained. It is shown in the paper the hosting capacity is determined more often by overload than by overvoltage. In this paper, only the hosting capacity with reference to the overload limit is considered. The results obtained for the data used show that the overload limit is exceeded more often for transformers than for cable cabinets. The stochastic approach applied to the cable cabinets yields a small probability to exceed the hosting capacity.

Place, publisher, year, edition, pages
Institution of Engineering and Technology, 2021. p. 2376-2380, article id 0046
Keywords [en]
Power distribution, Photovoltaic system, Power system measurements, Probability distribution, Likelihood
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-87838DOI: 10.1049/icp.2021.1786Scopus ID: 2-s2.0-85129336184OAI: oai:DiVA.org:ltu-87838DiVA, id: diva2:1609580
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, EnockEtherden, NicholasBollen, Math

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