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Quantum-based Particle Swarm Optimization Application to Studies of Aggregated Consumption Shifting and Generation Scheduling in Smart Grids

2014-12-09Conference object Restricted access
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dc.contributor.authorFaria, Pedro
dc.contributor.authorSoares, João
dc.contributor.authorVale, Zita
dc.date.accessioned2015-05-07T10:34:27Z
dc.date.available2015-05-07T10:34:27Z
dc.date.issued2014-12-09
dc.description.abstractDemand response programs and models have been developed and implemented for an improved performance of electricity markets, taking full advantage of smart grids. Studying and addressing the consumers’ flexibility and network operation scenarios makes possible to design improved demand response models and programs. The methodology proposed in the present paper aims to address the definition of demand response programs that consider the demand shifting between periods, regarding the occurrence of multi-period demand response events. The optimization model focuses on minimizing the network and resources operation costs for a Virtual Power Player. Quantum Particle Swarm Optimization has been used in order to obtain the solutions for the optimization model that is applied to a large set of operation scenarios. The implemented case study illustrates the use of the proposed methodology to support the decisions of the Virtual Power Player in what concerns the duration of each demand response event.por
dc.identifier.doi10.1109/CIASG.2014.7011562
dc.identifier.urihttp://hdl.handle.net/10400.22/5964
dc.language.isoengpor
dc.publisherIEEEpor
dc.relation.ispartofseriesCIASG;2014
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7011562&queryText%3D10.1109%2FCIASG.2014.7011562por
dc.subjectDemand responsepor
dc.subjectLoad shiftingpor
dc.subjectParticle swarm optimizationpor
dc.subjectResources use optimizationpor
dc.subjectSmart gridspor
dc.subjectVirtual power playerpor
dc.titleQuantum-based Particle Swarm Optimization Application to Studies of Aggregated Consumption Shifting and Generation Scheduling in Smart Gridspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceOrlando, Florida, USApor
oaire.citation.endPage8por
oaire.citation.startPage1por
oaire.citation.titleCIASG 2014 - Computational Intelligence Applications in Smart Grid (CIASG) at the IEEE SSCI 2014 (IEEE Symposium Series on Computational Intelligence)por
person.familyNameFaria
person.familyNameSoares
person.familyNameVale
person.givenNamePedro
person.givenNameJoão
person.givenNameZita
person.identifier1043580
person.identifier632184
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id7004115775
rcaap.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
relation.isAuthorOfPublication9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b

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