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Network-constrained bidding optimization strategy for aggregators of prosumers

dc.contributor.authorIria, José
dc.contributor.authorScott, Paul
dc.contributor.authorattarha, ahmad
dc.date.accessioned2024-01-08T23:15:08Z
dc.date.issued2020
dc.date.updated2022-09-25T08:16:36Z
dc.description.abstractThe large-scale deployment of smart home technologies will unlock the flexibility of prosumers, which in turn will be transformed into electricity market services by aggregators. This paper proposes a new network-constrained bidding optimization strategy to coordinate the participation of aggregators of prosumers in the day-ahead energy and secondary reserve markets. This bidding optimization strategy consists of a decentralized approach based on the alternating direction method of multipliers, where aggregators negotiate with the distribution system operator to obtain network-constrained energy and secondary reserve bids. For a case study of 2 aggregators and 1 distribution system operator, the results show that the network-constrained bidding strategy computes cost-effective and network-feasible energy and secondary reserve bids, as opposed to a network-free bidding strategy. In addition, the network-constrained bidding strategy preserves the independent roles of aggregators and the distribution system operator, and the data privacy of all agents.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0360-5442en_AU
dc.identifier.urihttp://hdl.handle.net/1885/311254
dc.language.isoen_AUen_AU
dc.publisherPergamon Press Ltd.en_AU
dc.rights© 2020 The authorsen_AU
dc.sourceEnergyen_AU
dc.subjectAggregatorsen_AU
dc.subjectProsumersen_AU
dc.subjectBiddingen_AU
dc.subjectElectricity marketsen_AU
dc.subjectDistribution networksen_AU
dc.titleNetwork-constrained bidding optimization strategy for aggregators of prosumersen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.lastpage15en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationBarreira Iria, Jose Pedro, College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationScott, Paul, College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationAttarha, Ahmad, College of Engineering and Computer Science, ANUen_AU
local.contributor.authoruidBarreira Iria, Jose Pedro, u1091356en_AU
local.contributor.authoruidScott, Paul, u4216533en_AU
local.contributor.authoruidAttarha, Ahmad, u6540773en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor490108 - Operations researchen_AU
local.identifier.absfor400805 - Electrical energy transmission, networks and systemsen_AU
local.identifier.absfor460209 - Planning and decision makingen_AU
local.identifier.ariespublicationa383154xPUB14329en_AU
local.identifier.citationvolume207en_AU
local.identifier.doi10.1016/j.energy.2020.118266en_AU
local.identifier.scopusID2-s2.0-85087518983
local.identifier.thomsonIDWOS:000558533200071
local.publisher.urlhttps://www.sciencedirect.com/en_AU
local.type.statusPublished Versionen_AU

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