Repository logo
 
Publication

Quantum Particle Swarm Optimization Applied to Distinct Remuneration Approaches in Demand Response Programs

dc.contributor.authorPereira, Fabio
dc.contributor.authorSoares, João
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.date.accessioned2021-03-09T16:07:25Z
dc.date.available2021-03-09T16:07:25Z
dc.date.issued2015
dc.description.abstractThe development of demand response programs has been allowing to improve power system performance in several ways, both in terms of the management of electricity markets, as well as regarding benefits in its operation. In order to model the remuneration for the participation of consumers in the scheduling of resources, this paper proposes a methodology based on the use of four incentive-based tariffs for the remuneration of demand response participation. It considers steps, quadratic, constant and linear remuneration. The optimization model enables Virtual Power Players to minimize operation costs, considering different critical situations of management and operation. The optimization problem has been solved by Quantum Particle Swarm Optimization. The case study concerns 168 consumers, classified into 5 consumer types, 118 distributed generation resources and 4 external suppliers.pt_PT
dc.description.sponsorshipThe present work was done and funded in the scope of the following projects: EUREKA - ITEA2 Project SEAS with project number 12004; ELECON Project, REA grant agreement No 318912 (FP7 PIRSES-GA2012-318912); H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No 641794); and UID/EEA/00760/2013 funded by FEDER Funds through COMPETE program and by National Funds through FCT.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/SSCI.2015.219pt_PT
dc.identifier.isbn978-1-4799-7560-0
dc.identifier.urihttp://hdl.handle.net/10400.22/17354
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationElectricity Consumption Analysis to Promote Energy Efficiency Considering Demand Response and Non-technical Losses
dc.relationEnabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/7376795pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectDemand response programspt_PT
dc.subjectQuantum particlept_PT
dc.subjectSwarm optimizationpt_PT
dc.subjectRemuneration tariffspt_PT
dc.subjectVirtual power playerpt_PT
dc.titleQuantum Particle Swarm Optimization Applied to Distinct Remuneration Approaches in Demand Response Programspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleElectricity Consumption Analysis to Promote Energy Efficiency Considering Demand Response and Non-technical Losses
oaire.awardTitleEnabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/318912/EU
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/641794/EU
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F00760%2F2013/PT
oaire.citation.conferencePlaceCape Town, South Africapt_PT
oaire.citation.endPage1560pt_PT
oaire.citation.startPage1553pt_PT
oaire.citation.titleIEEE Symposium Series on Computational Intelligence (CIASG 2015)pt_PT
oaire.fundingStreamFP7
oaire.fundingStreamH2020
oaire.fundingStream5876
person.familyNameSoares
person.familyNameFaria
person.familyNameVale
person.givenNameJoão
person.givenNamePedro
person.givenNameZita
person.identifier1043580
person.identifier632184
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameEuropean Commission
project.funder.nameEuropean Commission
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isAuthorOfPublication35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscovery35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
relation.isProjectOfPublication8fea16df-b0e1-44c7-93fa-4383c327d04f
relation.isProjectOfPublication4a092e97-cc2f-4f57-8d3c-cf1709963516
relation.isProjectOfPublication237af9d5-70ed-4e45-9f10-3853d860255e
relation.isProjectOfPublication.latestForDiscovery237af9d5-70ed-4e45-9f10-3853d860255e

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
COM_GECAD_CIASG_2015.pdf
Size:
1.59 MB
Format:
Adobe Portable Document Format