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A Method to Identify Exposed Nodes in Low Voltage Distribution Grids with High PV Penetration
KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem. (PSMIX)ORCID-id: 0000-0002-2014-0444
KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem. (PSMIX)ORCID-id: 0000-0002-4140-4736
KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem. (PSMIX)ORCID-id: 0000-0002-6590-6634
KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem. (PSMIX)ORCID-id: 0000-0003-3014-5609
2015 (engelsk)Inngår i: IEEE Power and Energy Society General Meeting 2015, Denver, CO. July 26-30, 2015. / [ed] IEEE, IEEE Press, 2015Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
IEEE Press, 2015.
Serie
IEEE Power and Energy Society General Meeting, ISSN 1944-9925
HSV kategori
Forskningsprogram
Elektro- och systemteknik
Identifikatorer
URN: urn:nbn:se:kth:diva-165048DOI: 10.1109/PESGM.2015.7286296ISI: 000371397502214Scopus ID: 2-s2.0-84956859621OAI: oai:DiVA.org:kth-165048DiVA, id: diva2:806914
Konferanse
Power and Energy Society General Meeting, 2015 IEEE
Forskningsfinansiär
SweGRIDS - Swedish Centre for Smart Grids and Energy StorageEU, FP7, Seventh Framework Programme
Merknad

QC 20160405

Tilgjengelig fra: 2015-04-22 Laget: 2015-04-22 Sist oppdatert: 2024-03-18bibliografisk kontrollert

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Armendariz, MikelBrodén, DanielHoneth, NicholasNordström, Lars

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Totalt: 749 treff
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