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dc.contributor.authorShahnia, Farhad
dc.contributor.authorMajumder, R.
dc.contributor.authorGhosh, A.
dc.contributor.authorLedwich, G.
dc.contributor.authorZare, F.
dc.date.accessioned2017-01-30T10:35:01Z
dc.date.available2017-01-30T10:35:01Z
dc.date.created2014-04-10T20:00:52Z
dc.date.issued2011
dc.identifier.citationShahnia, Farhad and Majumder, Ritwik and Ghosh, Arindam and Ledwich, Gerard and Zare, Firuz. 2011. Voltage imbalance analysis in residential low voltage distribution networks with rooftop PVs. Electric Power Systems Research. 81 (9): pp. 1805-1814.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/3915
dc.identifier.doi10.1016/j.epsr.2011.05.001
dc.description.abstract

The installation of domestic rooftop photovoltaic cells (PVs) are on the rise due to feed-in tariff and changes driven by environmental concerns. Even though the increase in the PV installation is gradual, their locations and ratings are often random. Therefore, such single-phase bi-directional power flow can have adverse effect on the voltage imbalance of a three-phase distribution network. In this paper, a voltage imbalance sensitivity analysis and stochastic evaluation based on the ratings and locations of single-phase grid-connected rooftop PVs in a residential low voltage distribution network are presented. The stochastic evaluation, based on Monte Carlo method, predicts a failure index of non-standard voltage imbalance in the network in presence of PVs. Some improvement methods are discussed and a new improvement method based on PV converter control is proposed.

dc.publisherElsevier S.A.
dc.subjectSensitivity analysis
dc.subjectDistribution network
dc.subjectStochastic evaluation
dc.subjectSingle-phase rooftop PV
dc.subjectVoltage imbalance
dc.titleVoltage imbalance analysis in residential low voltage distribution networks with rooftop PVs
dc.typeJournal Article
dcterms.source.volume81
dcterms.source.number9
dcterms.source.startPage1805
dcterms.source.endPage1814
dcterms.source.issn0378-7796
dcterms.source.titleElectric Power Systems Research
curtin.note

NOTICE: This is the author’s version of a work that was accepted for publication in Electric Power Systems Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Electric Power Systems Research, Vol. 81, Issue 9 (2011). http://doi.org/10.1016/j.epsr.2011.05.001

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curtin.accessStatusOpen access


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