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A Method to Identify Exposed Nodes in Low Voltage Distribution Grids with High PV Penetration
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems. (PSMIX)ORCID iD: 0000-0002-2014-0444
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems. (PSMIX)ORCID iD: 0000-0002-4140-4736
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems. (PSMIX)ORCID iD: 0000-0002-6590-6634
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems. (PSMIX)ORCID iD: 0000-0003-3014-5609
2015 (English)In: IEEE Power and Energy Society General Meeting 2015, Denver, CO. July 26-30, 2015. / [ed] IEEE, IEEE Press, 2015Conference paper, Published paper (Refereed)
Abstract [en]

The impact of introducing distributed energyresources at the low voltage side of the distribution grid iscurrently raising new challenges for utilities. In particular, thehigh penetration of photovoltaic panels (PVs) in radial grids isincreasing the active power losses in the branches and thevoltage level at some of the nodes. Principally nodes next to PVarray installations. This paper presents a methodology based ondesign of experiments (DOE) to detect such exposed nodes andbranches, together with the identification of the main scenariosthat cause such problems, characterized by: season, type of day,solar radiation and outdoor temperature levels. Themethodology is simulated on a LV network based on the Cigrebenchmark Grid with real utility data. The exposed nodes areclassified for each feeder from most to least problematic andshowed (as expected) sensitivity to seasonality (summertime),characterized by high solar radiation and outdoor temperatures.

Place, publisher, year, edition, pages
IEEE Press, 2015.
Series
IEEE Power and Energy Society General Meeting, ISSN 1944-9925
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-165048DOI: 10.1109/PESGM.2015.7286296ISI: 000371397502214Scopus ID: 2-s2.0-84956859621OAI: oai:DiVA.org:kth-165048DiVA: diva2:806914
Conference
Power and Energy Society General Meeting, 2015 IEEE
Funder
SweGRIDS - Swedish Centre for Smart Grids and Energy StorageEU, FP7, Seventh Framework Programme
Note

QC 20160405

Available from: 2015-04-22 Created: 2015-04-22 Last updated: 2017-04-05Bibliographically approved

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Honeth, NicholasNordström, Lars

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