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dc.contributor.authorTayab, Usman Bashir
dc.contributor.authorLu, Junwei
dc.contributor.authorYang, Fuwen
dc.contributor.authorIslam, Mojaharul
dc.contributor.authorZia, Ali
dc.contributor.authorHossain, Jahangir
dc.date.accessioned2020-06-15T05:09:20Z
dc.date.available2020-06-15T05:09:20Z
dc.date.issued2019
dc.identifier.isbn9781728150437
dc.identifier.doi10.1109/aupec48547.2019.211931
dc.identifier.urihttp://hdl.handle.net/10072/394648
dc.description.abstractIn this paper, an optimal energy management system (EMS) for grid-connected microgrid is proposed. The gridconnected microgrid system comprises of photovoltaic (PV) panel, and battery as an energy storage unit. The optimal EMS is aimed to minimize the total operating cost of grid-connected microgrid for academic building. The feedforward neural network with improved salp swarm alogrithm based on weight factor is used to determine the 24-hours ahead data forecasting of load demand and PV power, while improved salp swarm alogrithm based on weight factor (WSSA) is used to perform the day-ahead optimal scheduling to control the power flow between PV, energy storage unit, load and main grid. The proposed microgrid EMS (MGEMS) is simulated using MATLAB/Simulink. The simulation result shows the effectiveness and validity of presented EMS with academic load.
dc.description.peerreviewedYes
dc.publisherIEEE
dc.relation.ispartofconferencename29th Australasian Universities Power Engineering Conference (AUPEC 2019)
dc.relation.ispartofconferencetitleProceedings - 2019 29th Australasian Universities Power Engineering Conference (AUPEC)
dc.relation.ispartofdatefrom2019-11-26
dc.relation.ispartofdateto2019-11-29
dc.relation.ispartoflocationNadi, Fiji
dc.subject.fieldofresearchMicroelectronics
dc.subject.fieldofresearchcode400908
dc.titleMicrogrid Energy Management System for Academic Building
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationTayab, UB; Lu, J; Yang, F; Islam, M; Zia, A; Hossain, J, Microgrid Energy Management System for Academic Building, 2019 29th Australasian Universities Power Engineering Conference (AUPEC), 2019
dc.date.updated2020-06-15T04:56:33Z
gro.hasfulltextNo Full Text
gro.griffith.authorYang, Fuwen
gro.griffith.authorLu, Junwei


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