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Optimal strategy of electricity and natural gas aggregators in the energy and balance markets

dc.contributor.authorKhojasteh, Meysam
dc.contributor.authorFaria, Pedro
dc.contributor.authorLezama, Fernando
dc.contributor.authorVale, Zita
dc.date.accessioned2023-02-02T10:20:15Z
dc.date.available2023-02-02T10:20:15Z
dc.date.issued2022
dc.description.abstractThis paper presents a stochastic two-stage model for energy aggregators (EAs) in the energy and balancing markets to supply electricity and natural gas to end-users equipped with combined heat and power (CHP) units. The suggested model takes into account the battery energy storage (BES) as a self-generating unit of EA. The upper and lower subproblems determine the optimal energy supply strategy of EA and consumption of consumers, respectively. In the lower subproblem, the McCormick relaxation is used to linearize the cost function of the CHP unit. To solve the proposed model, the two-stage problem is transformed into a linear single-stage problem using the KKT conditions of the lower subproblem, the Big M method, and the strong duality theory. The performance and efficiency of the proposed model are evaluated using a case study and three scenarios. According to the simulation results, adding CHP units to the energy-scheduling problem of BES-owned aggregators increases the profit of EA by 5.96% and decreases the cost of consumers by 1.57%.pt_PT
dc.description.sponsorshipThis work has received funding from the EU Horizon 2020 research and innovation program under project TradeRES (grant agreement No 864276). Pedro Faria is supported by FCT, grant CEECIND/01423/2021. The authors acknowledge the work facilities and equipment provided by GECAD research center (UIDB/00760/ 2020) to the project team.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.energy.2022.124753pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/22094
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationCEECIND/01423/2021pt_PT
dc.relationTools for the Design and modelling of new markets and negotiation mechanisms for a ~100% Renewable European Power Systems
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0360544222016565?via%3Dihubpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectBalance marketpt_PT
dc.subjectBattery energy storagept_PT
dc.subjectCombined heat and powerpt_PT
dc.subjectEnergy aggregatorpt_PT
dc.titleOptimal strategy of electricity and natural gas aggregators in the energy and balance marketspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleTools for the Design and modelling of new markets and negotiation mechanisms for a ~100% Renewable European Power Systems
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/864276/EU
oaire.citation.startPage124753pt_PT
oaire.citation.titleEnergypt_PT
oaire.citation.volume257pt_PT
oaire.fundingStreamH2020
person.familyNameKhojasteh
person.familyNameFaria
person.familyNameLezama
person.familyNameVale
person.givenNameMeysam
person.givenNamePedro
person.givenNameFernando
person.givenNameZita
person.identifierJ813459FTBFZ
person.identifier632184
person.identifier.ciencia-idCD1C-96CF-5D4A
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-idE31F-56D6-1E0F
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-5464-4974
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0001-8638-8373
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-6945-2017
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id36810077500
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication3d074138-9b0d-4012-9f16-e37f28e422a9
relation.isAuthorOfPublication35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
relation.isAuthorOfPublication6a55317b-92c2-404f-8542-c7a73061cc9b
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscovery3d074138-9b0d-4012-9f16-e37f28e422a9
relation.isProjectOfPublication658fdbf6-8640-4949-8826-05d405806aeb
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