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Distribution networks measured background voltage variations, probability distributions characterization and Solar PV hosting capacity estimations
Luleå tekniska universitet, Energivetenskap.ORCID iD: 0000-0002-3449-1579
Luleå tekniska universitet, Energivetenskap.ORCID iD: 0000-0003-4074-9529
Luleå tekniska universitet, Energivetenskap.ORCID iD: 0000-0003-0749-7366
2021 (English)In: Electric power systems research, ISSN 0378-7796, E-ISSN 1873-2046, Vol. 192, article id 106979Article in journal (Refereed) Published
Abstract [en]

Solar photovoltaics in electricity distribution networks is often limited by the rise in voltage magnitude. The pre-connection voltage magnitude is an important factor that determines the hosting capacity.

This paper studies to which extent details of the pre-connection voltage magnitude impact the hosting capacity. Extensive measurements of voltage magnitude and solar power production were obtained for a number of distribution networks with 10-minute resolution. The measured background voltage during the sunny-hours from the two-year measurements was used to obtain representative probability distribution functions. A guide for selecting the time-of-day (ToD) used is presented.

The obtained probability distribution functions are applied to estimate the stochastic hosting capacity for a low-voltage distribution network with 83 customers. The impact of various details on the hosting capacity are studied.

The results show that general knowledge about the range of the pre-connection voltage are essential for the hosting capacity estimation. Measurements over one year were shown to be sufficient to estimate the hosting capacity. The hosting capacity considering the entire day was underestimated by 11 % when compared to the 10 am – 2 pm sunny-hours. The proposed method is general and can be applied to other aleatory uncertainties and other types of hosting capacity studies.

Place, publisher, year, edition, pages
Elsevier , 2021. Vol. 192, article id 106979
Keywords [en]
Electricity, Hosting capacity calculation, Probability distribution, Solar power generation, Uncertainty, Voltage measurement
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hig:diva-45755DOI: 10.1016/j.epsr.2020.106979ISI: 000613250700002Scopus ID: 2-s2.0-85097064021OAI: oai:DiVA.org:hig-45755DiVA, id: diva2:1903021
Available from: 2020-11-30 Created: 2024-10-03Bibliographically approved

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Mulenga, EnockBollen, MathEtherden, Nicholas

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CiteExportLink to record
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