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dc.contributor.authorFu, Y.
dc.contributor.authorZhou, X.
dc.contributor.authorSu, X.
dc.contributor.authorWolfs, Peter
dc.contributor.authorMasoum, Mohammad Sherkat
dc.date.accessioned2018-08-08T04:43:06Z
dc.date.available2018-08-08T04:43:06Z
dc.date.created2018-08-08T03:50:45Z
dc.date.issued2018
dc.identifier.citationFu, Y. and Zhou, X. and Su, X. and Wolfs, P. and Masoum, M.S. 2018. A comprehensive three-phase load flow method for integrated MV and LV distribution networks, pp. 1-5.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/69997
dc.identifier.doi10.1109/ISGT-Asia.2017.8378314
dc.description.abstract

© 2017 IEEE. In the smart grid era, significant penetrations of distributed renewables not only directly impact the secondary low-voltage (LV) distribution network where they are connected, but also indirectly affect the primary medium-voltage (MV) distribution network. Therefore, load flow algorithms are expected to cover both MV and LV levels within a distribution network for more accurate and reasonable analyses. In this study, based on the Direct Load Flow approach and detailed modeling of common Dyn11 distribution transformers, a comprehensive three-phase load flow method which can effectively and efficiently solve the integrated MV and LV distribution networks is proposed. The feasibility and effectiveness as well as superior computational performance in terms of accuracy, efficiency and robustness are verified by simulations on the typical IEEE 4-bus test feeder and a real Australian distribution network over 24 hours.

dc.titleA comprehensive three-phase load flow method for integrated MV and LV distribution networks
dc.typeConference Paper
dcterms.source.startPage1
dcterms.source.endPage5
dcterms.source.title2017 IEEE Innovative Smart Grid Technologies - Asia: Smart Grid for Smart Community, ISGT-Asia 2017
dcterms.source.series2017 IEEE Innovative Smart Grid Technologies - Asia: Smart Grid for Smart Community, ISGT-Asia 2017
dcterms.source.isbn9781538649503
curtin.accessStatusFulltext not available


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