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Weighted sum approach using Parallel Particle Swarm Optimization to Solve Multi-objective Energy Scheduling

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dc.contributor.authorBorges, Nuno
dc.contributor.authorSoares, João
dc.contributor.authorVale, Zita
dc.contributor.authorCanizes, Bruno
dc.date.accessioned2017-07-17T10:53:01Z
dc.date.embargo2117
dc.date.issued2016
dc.description.abstractThis paper presents a Particle Swarm Optimization (PSO) methodology to solve the problem of energy resource management with high penetration of Distributed Generation (DG) and Electric Vehicles (EVs), based in multi-objective optimization. The high penetration of unpredictable DG, results in the increase of the operation cost, due to the additional constraints on the system, and has a direct influence on the reducing of carbon dioxide (CO2) emissions. The proposed methodology consists in a multi-objective function, in which is intended to maximize the profit, corresponding to the difference between the income and operating costs, and minimize CO2 emissions. In this case study it was considered a real Spanish electric network, from the city of Zaragoza, applied to the productions and consumption values expected in 2030. This network is constituted by 1300 EVs and 70% DG penetration of its total installed capacity.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/TDC.2016.7520023pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/10086
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/7520023/pt_PT
dc.subjectEnergy Resources Managementpt_PT
dc.subjectCO2 Emissionspt_PT
dc.subjectParticle Swarm Optimizationpt_PT
dc.subjectMulti-Objectivept_PT
dc.titleWeighted sum approach using Parallel Particle Swarm Optimization to Solve Multi-objective Energy Schedulingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleIEEE Pes Transmission and Distribution Conference and Expositionpt_PT
person.familyNameSoares
person.familyNameVale
person.familyNameCanizes
person.givenNameJoão
person.givenNameZita
person.givenNameBruno
person.identifier1043580
person.identifier632184
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.ciencia-idA411-F561-E922
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-4560-9544
person.identifier.orcid0000-0002-9808-5537
person.identifier.ridA-5824-2012
person.identifier.ridI-3492-2017
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id7004115775
person.identifier.scopus-author-id35408699300
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication7ea215ea-79d5-42be-a870-a0c8b23cf556
relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b

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