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Energy Resource Scheduling with Multiple Iterations for the Validation of Demand Response Aggregation

2018Conference object Open access
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dc.contributor.authorSpinola, Joao
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.date.accessioned2021-02-19T16:51:49Z
dc.date.available2021-02-19T16:51:49Z
dc.date.issued2018
dc.description.abstractFlexibility aggregators are becoming a trend in European energy markets, joining several consumers and small-size distributed generators to their portfolio, enabling market participation. Also, the interest growth in clean energy resources and in smart grid concepts such as demand response and communication infrastructures, has led to a facilitation in the integration of these flexibility resources. In this paper, it is proposed a methodology that supports the aggregator in its energy management and resources scheduling. The work focuses on a rescheduling method that uses aggregation and remuneration processes to define new tariffs for consumers participating in a load curtailment demand response program. Aggregation is performed using the clustering algorithm, k-means, while the remuneration process defines a tariff per group formed by computing the arithmetic average of the consumer's prices belonging to each group.pt_PT
dc.description.sponsorshipThis work has been developed under the EUREKA - ITEA2 Project FUSE-IT (ITEA-13023), Project GREEDI (ANI|P2020 17822), and has received funding from FEDER Funds through COMPETE program and from National Funds through FCT under the project UID/EEA/00760/2013pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/TDC.2018.8440143pt_PT
dc.identifier.issn2160-8563
dc.identifier.urihttp://hdl.handle.net/10400.22/17057
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8440143pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectAggregatorpt_PT
dc.subjectDemand responsept_PT
dc.subjectDistributed energy resourcespt_PT
dc.subjectOptimizationpt_PT
dc.subjectReschedulingpt_PT
dc.titleEnergy Resource Scheduling with Multiple Iterations for the Validation of Demand Response Aggregationpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F00760%2F2013/PT
oaire.citation.conferencePlaceDenver, CO, USApt_PT
oaire.citation.endPage9pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)pt_PT
oaire.fundingStream5876
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.typeconferenceObjectpt_PT
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