Repository logo
 
Publication

Optimal expansion planning considering storage investment and seasonal effect of demand and renewable generation

dc.contributor.authorCanizes, Bruno
dc.contributor.authorSoares, João
dc.contributor.authorLezama, Fernando
dc.contributor.authorSilva, Cátia
dc.contributor.authorVale, Zita
dc.contributor.authorCorchado, Juan Manuel
dc.date.accessioned2019-11-22T15:37:44Z
dc.date.embargo2119
dc.date.issued2019
dc.description.abstractA new era of cleaner distributed generators, like wind and solar, dispersed along the distribution network are gaining great importance and contributing to the environment and political goals. However, the variability and intermittency of those generators pose new complexities and challenges to the network planning. This research paper proposes an innovative stochastic methodology to deal with the expansion planning of large distribution networks in a smart grid context with high penetration of distributed renewable energy sources and considering the seasonal impact. Also, new power lines locations and types, the size and the location of energy storage systems are considered in the optimization. A distribution network with 180 buses located in Portugal considering high distributed generators penetration is used to illustrate the application of the proposed methodology. The results demonstrate the advantage of the stochastic model when compared with a deterministic formulation, avoiding the need for larger investments in new lines and energy storage systems.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); from FEDER Funds through COMPETE program; from National Funds through FCT under the project UID/EEA/00760/2019 and from the project PTDC/EEI-EEE/28983/2017 - CENERGETIC. Bruno Canizes is supported by FCT Funds through SFRH/BD/110678/2015 PhD scholarship.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.renene.2019.02.006pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/14937
dc.language.isoengpt_PT
dc.publisherElsevierpt_PT
dc.relationDREAM-GO - Enabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach (641794)pt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0960148119301508#!pt_PT
dc.subjectDistribution networkspt_PT
dc.subjectEnergy storage systemspt_PT
dc.subjectPlanningpt_PT
dc.subjectRenewable energy sourcespt_PT
dc.subjectSmart gridpt_PT
dc.subjectStochastic systemspt_PT
dc.titleOptimal expansion planning considering storage investment and seasonal effect of demand and renewable generationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage954pt_PT
oaire.citation.startPage937pt_PT
oaire.citation.titleRenewable Energypt_PT
oaire.citation.volume138pt_PT
person.familyNameCanizes
person.familyNameSoares
person.familyNameLezama
person.familyNameSilva
person.familyNameVale
person.familyNameCorchado
person.givenNameBruno
person.givenNameJoão
person.givenNameFernando
person.givenNameCátia
person.givenNameZita
person.givenNameJuan Manuel
person.identifier1043580
person.identifier632184
person.identifier.ciencia-idA411-F561-E922
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-idE31F-56D6-1E0F
person.identifier.ciencia-id5318-DCFD-218D
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.ciencia-id2B1C-3662-2BC9
person.identifier.orcid0000-0002-9808-5537
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0001-8638-8373
person.identifier.orcid0000-0001-8306-4568
person.identifier.orcid0000-0002-4560-9544
person.identifier.orcid0000-0002-2829-1829
person.identifier.ridI-3492-2017
person.identifier.ridA-6945-2017
person.identifier.ridA-5824-2012
person.identifier.ridD-3229-2013
person.identifier.scopus-author-id35408699300
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id36810077500
person.identifier.scopus-author-id7004115775
person.identifier.scopus-author-id7006360842
rcaap.rightsembargoedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication7ea215ea-79d5-42be-a870-a0c8b23cf556
relation.isAuthorOfPublication9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isAuthorOfPublication6a55317b-92c2-404f-8542-c7a73061cc9b
relation.isAuthorOfPublication5eebf2bb-32f6-4593-a536-6db611d531e8
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication2b7fbce0-75af-4caa-9945-0dff2a9f3b23
relation.isAuthorOfPublication.latestForDiscovery2b7fbce0-75af-4caa-9945-0dff2a9f3b23

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ART2_GECAD_BrunoCanizes_2019.pdf
Size:
2.67 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: