Repository logo
 
Publication

Long-Term Smart Grid Planning Under Uncertainty Considering Reliability Indexes

dc.contributor.authorCanizes, Bruno
dc.contributor.authorSoares, João
dc.contributor.authorFotouhi Ghazvini, Mohammad Ali
dc.contributor.authorSilva, Cátia
dc.contributor.authorVale, Zita
dc.contributor.authorCorchado, Juan M.
dc.date.accessioned2021-03-01T15:14:55Z
dc.date.available2021-03-01T15:14:55Z
dc.date.issued2018
dc.description.abstractThe electricity sector is fast moving towards a new era of clean generation devices dispersed along the network. On one hand, this will largely contribute to achieve the multi-national environment goals agreed via political means. On the other hand, network operators face new complexities and challenges regarding network planning due to the large uncertainties associated with renewable generation and electric vehicles integration. In addition, due to new technologies such as combined heat and power (CHP), the district heat demand is considered in the long-term planning problem. The 13-bus medium voltage network is evaluated considering the possibility of CHP units but also without. Results demonstrate that CHP, together with heat-only boiler units, can supply the district heat demand and contribute to network reliability. They can also reduce the expected energy not supplied and the power losses cost, avoiding the need to invest in new power lines for the considered lifetime project.pt_PT
dc.description.sponsorshipThis work has received funding from the EU's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 641794 (project DREAM-GO) and from FEDER Funds through COMPETE program and from National Funds through FCT under the project UID/EEA/00760/2013. Bruno Canizes is supported by FCT Funds through SFRH/BD/110678/2015 PhD scholarship and M. Ali Fotouhi Ghazvini is supported by FCT Funds through SFRH/BD/94688/2013 PhD scholarship.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-319-75097-2_13pt_PT
dc.identifier.isbn978-3-319-75097-2
dc.identifier.urihttp://hdl.handle.net/10400.22/17200
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
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://link.springer.com/chapter/10.1007%2F978-3-319-75097-2_13pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/pt_PT
dc.subjectDistribution networkspt_PT
dc.subjectOptimizationpt_PT
dc.subjectPlanningpt_PT
dc.subjectReliabilitypt_PT
dc.subjectSmart gridpt_PT
dc.subjectStochastic systemspt_PT
dc.subjectUncertaintypt_PT
dc.titleLong-Term Smart Grid Planning Under Uncertainty Considering Reliability Indexespt_PT
dc.typebook part
dspace.entity.typePublication
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/H2020/641794/EU
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F00760%2F2013/PT
oaire.citation.endPage335pt_PT
oaire.citation.startPage297pt_PT
oaire.citation.titleOperation, Planning, and Analysis of Energy Storage Systems in Smart Energy Hubspt_PT
oaire.fundingStreamH2020
oaire.fundingStream5876
person.familyNameCanizes
person.familyNameSoares
person.familyNameFotouhi Ghazvini
person.familyNameSilva
person.familyNameVale
person.givenNameBruno
person.givenNameJoão
person.givenNameMohammad Ali
person.givenNameCátia
person.givenNameZita
person.identifier1043580
person.identifier632184
person.identifier.ciencia-idA411-F561-E922
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-id5318-DCFD-218D
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-9808-5537
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-0638-7221
person.identifier.orcid0000-0001-8306-4568
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridI-3492-2017
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35408699300
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id54782572900
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameEuropean Commission
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typebookPartpt_PT
relation.isAuthorOfPublication7ea215ea-79d5-42be-a870-a0c8b23cf556
relation.isAuthorOfPublication9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isAuthorOfPublicationb620503a-2c96-4c59-9147-c7a439afbe88
relation.isAuthorOfPublication5eebf2bb-32f6-4593-a536-6db611d531e8
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscovery7ea215ea-79d5-42be-a870-a0c8b23cf556
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:
CAPL_GECAD_BCanizes_2018.pdf
Size:
2.25 MB
Format:
Adobe Portable Document Format