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Community energy storage-based energy trading management for cost benefits and network support

dc.contributor.authorMediwaththe, Chathurika
dc.contributor.authorBlackhall, Lachlan
dc.coverage.spatialPerth, Australia
dc.date.accessioned2024-05-01T23:04:48Z
dc.date.createdNovember 23-26 2020
dc.date.issued2020
dc.date.updated2023-01-08T07:16:34Z
dc.description.abstractIn this paper, the extent to which the integration of rooftop photovoltaic (PV) power with a community energy storage (CES) system can reduce energy cost and distribution network (DN) loss is explored. To this end, three energy trading systems (ETSs) are compared; first, an ETS where PV users exchange energy with the CES system in addition to the grid, second, an ETS where PV users merely exchange energy with the CES system, and third, an ETS where PV users only exchange energy with the grid. A multi-objective optimization framework, combined with a linear distribution network power flow model, is developed to study the trade-off between the energy cost and network power loss reductions while satisfying the DN voltage and current flow limits. Simulations, with real energy demand and PV power data, highlight that enabling the energy exchange between the users and the CES system can give a better trade-off between the DN power loss and energy cost reductions. Further, simulations demonstrate that all three ETSs deliver nearly 85% DN energy loss reduction with significantly increased revenues compared to an ETS without a CES system.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.isbn978-1-7281-8550-7en_AU
dc.identifier.urihttp://hdl.handle.net/1885/317227
dc.language.isoen_AUen_AU
dc.publisherIEEEen_AU
dc.relation.ispartofseries2020 International Conference on Smart Grids and Energy Systems, SGES 2020en_AU
dc.rights© 2020 IEEEen_AU
dc.sourceProceedings - 2020 International Conference on Smart Grids and Energy Systems, SGES 2020en_AU
dc.subjectDistribution networksen_AU
dc.subjectenergy storageen_AU
dc.subjectenergy tradingen_AU
dc.subjectmulti-objective optimizationen_AU
dc.subjectpower flowen_AU
dc.titleCommunity energy storage-based energy trading management for cost benefits and network supporten_AU
dc.typeConference paperen_AU
local.bibliographicCitation.lastpage521en_AU
local.bibliographicCitation.startpage516en_AU
local.contributor.affiliationMediwaththe, Chathurika, College of Engineering, Computing and Cybernetics, ANUen_AU
local.contributor.affiliationBlackhall, Lachlan, College of Engineering, Computing and Cybernetics, ANUen_AU
local.contributor.authoruidMediwaththe, Chathurika, u1049257en_AU
local.contributor.authoruidBlackhall, Lachlan, u4380135en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.description.refereedYes
local.identifier.absfor401604 - Elemental semiconductorsen_AU
local.identifier.absfor400910 - Photovoltaic devices (solar cells)en_AU
local.identifier.absfor401807 - Nanomaterialsen_AU
local.identifier.ariespublicationa383154xPUB18786en_AU
local.identifier.doi10.1109/SGES51519.2020.00097en_AU
local.identifier.scopusID2-s2.0-85102733900
local.identifier.thomsonIDWOS:000674702800090
local.publisher.urlhttps://ieeexplore.ieee.org/en_AU
local.type.statusPublished Versionen_AU

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