Repository logo
 
Publication

Distributed Energy Resources Scheduling with Demand Response Complex Contract

dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.date.accessioned2021-09-17T13:18:14Z
dc.date.available2021-09-17T13:18:14Z
dc.date.issued2020
dc.description.abstractDemand response is a very flexible way to improve distributed energy resources scheduling. The innovative contribution of this paper is to include in the model complex contracts approach, which can accommodate constraints according to the particular expectations of each player. Such contracts are included in the distributed energy resources scheduling optimization to dispatch demand response according to the consumers expectations. Multi­period demand response events are considered. In this way, consumers can specify limits on the time, power, and remuneration regarding participation in demand response events, in a way that has not been considered in the literature. The state of the art treats these aspects separately or using a statistic approach, without providing consumers with options to combine their preferences regarding different aspects of their flexibility deployment. The model has been validated for 218 consumers using several scenarios and different types of distributed generation, showing that it is possible to increase demand response respecting consumers preferences.pt_PT
dc.description.sponsorshipThis work has received funding from the COLORS Project, from FEDER Funds through COMPETE Program, and from National Funds through (FCT) under the project UIDB/00760/2020, and CEECIND/02887/2017.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.35833/MPCE.2020.000317pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/18409
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationCEECIND/02887/2017pt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9290333pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectComplex contractspt_PT
dc.subjectDemand responsept_PT
dc.subjectDistributed generationpt_PT
dc.subjectVirtual power playerpt_PT
dc.titleDistributed Energy Resources Scheduling with Demand Response Complex Contractpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/157466/PT
oaire.citation.titleJournal of Modern Power Systems and Clean Energypt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFaria
person.familyNameVale
person.givenNamePedro
person.givenNameZita
person.identifier632184
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscovery35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
relation.isProjectOfPublicationc8b89528-2f4d-4be2-b8bb-46826a29deeb
relation.isProjectOfPublication.latestForDiscoveryc8b89528-2f4d-4be2-b8bb-46826a29deeb

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ART_GECAD_Faria_2020.pdf
Size:
944.31 KB
Format:
Adobe Portable Document Format