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dc.contributor.authorRahman, M. D. M-
dc.contributor.authorHettiwatte, S. N-
dc.contributor.authorShafiullah, G. M-
dc.contributor.authorArefi, A-
dc.contributor.authorPezeshki, H-
dc.date.accessioned2022-01-13T07:47:25Z-
dc.date.available2022-01-13T07:47:25Z-
dc.date.issued2017-07-16-
dc.identifier.citationM. M. Rahman, G. M. Shafiullah, A. Arefi, H. Pezeshki and S. Hettiwatte, "Improvement of voltage magnitude and unbalance in LV network by implementing residential demand response," 2017 IEEE Power & Energy Society General Meeting, 2017, pp. 1-5, doi: 10.1109/PESGM.2017.8273831.en_US
dc.identifier.issn1944-9933-
dc.identifier.urihttp://localhost:80/handle/123456789/667-
dc.description.abstractMaintaining voltage levels in low voltage (LV) distribution network within the standard limits is the main constraining factor in increasing network hosting ability for high penetration of rooftop photovoltaic (PV). Distribution system operator must be able to take corrective approach to avoid critical voltage unbalance and magnitude violations where rooftop PV generation is high. This study presents an effective method for voltage management in distribution networks through implementation of optimal residential demand response (DR) and transformer tap setting using a particle swarm optimization algorithm. The method is comprehensively verified on a real Australian distribution network with considerable unbalance and distributed generations. The simulation results show that PV penetration of the network can be further increased with the proposed approach.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2017 IEEE Power & Energy Society General Meeting;Pages 1-5-
dc.subjectDemand responseen_US
dc.subjectdistribution networken_US
dc.subjectvoltage unbalanceen_US
dc.subjectphotovoltaicen_US
dc.subjectparticle swarm optimization.en_US
dc.titleImprovement of voltage magnitude and unbalance in LV network by implementing residential demand responseen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/PESGM.2017.8273831en_US
Appears in Collections:Research Papers
Research Papers - Department of Electrical and Electronic Engineering
Research Papers - SLIIT Staff Publications

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