Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A Topology Agnostic Estimation Method for PV Hosting Capacity of Distribution Grids
Vattenfall R&D, Stockholm, Sweden.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science. Vattenfall R&D, Stockholm, Sweden.ORCID iD: 0000-0003-0749-7366
2021 (English)In: 2021 IEEE Madrid PowerTech: Conference Proceedings, IEEE, 2021Conference paper, Published paper (Refereed)
Abstract [en]

A fast screening method to estimate PV hosting capacity in a low voltage grid with respect to overvoltage and transformer overload is presented in this paper. The method uses the resistance of the direct path from the slack bus to customer and an assumed topology in order to avoid complete knowledge about the grid topology. Using an assumed topology an estimate of the minimum overvoltage hosting capacity is obtained for each penetration level and the transformer overload hosting capacity for any combination of customers having PV. The method is suitable for initial response to demand connection enquiries and showed good correspondence by comparison with power flow simulation using the actual grid topology. The method was implemented on four semi-rural low voltage grids and the results showed that these grids were able to handle PV infeed comparable to maximum winter load due to three-phase connections.

Place, publisher, year, edition, pages
IEEE, 2021.
Keywords [en]
hosting capacity, load flow analysis, photovoltaics systems, power system planning, voltage fluctuations
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-86697DOI: 10.1109/PowerTech46648.2021.9495046ISI: 000848778000294Scopus ID: 2-s2.0-85112362776OAI: oai:DiVA.org:ltu-86697DiVA, id: diva2:1585603
Conference
14th IEEE PowerTech Conference, Madrid, Spain (Virtual), June 28-July 2, 2021
Note

ISBN för värdpublikation: 978-1-6654-3597-0

Available from: 2021-08-17 Created: 2021-08-17 Last updated: 2022-09-23Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Etherden, Nicholas

Search in DiVA

By author/editor
Etherden, Nicholas
By organisation
Energy Science
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 57 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf