Dynamic distribution system reconfiguration considering distributed renewable energy sources and energy storage systems

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dc.contributor.authorSantos, Sérgio F.
dc.contributor.authorGough, Matthew
dc.contributor.authorFitiwi, Desta Z.
dc.contributor.authorPogeira, José
dc.contributor.authorShafie-khah, Miadreza
dc.contributor.authorCatalão, João P. S.
dc.contributor.authorSantos, Sérgio F.
dc.date.accessioned2022-09-06T09:27:30Z
dc.date.available2022-09-06T09:27:30Z
dc.date.issued2022-09
dc.description.abstractElectric power systems are in state of transition as they attempt to evolve to meet new challenges provided by growing environmental concerns, increases in the penetration of distributed renewable energy sources (DRES) as well as the challenges associated with integrating new technologies to enable smart grids. New techniques to improve the electrical power system, including the distribution system, are thus needed. One such technique is dynamic distribution system reconfiguration (DNSR), which involves altering the network topology during operation, providing significant benefits regarding the increased integration of DRES. This paper lays out an improved model which aimed to optimize the system operation in a coordinated way, where DRES, energy storage systems (ESS) and DNSR are considered as well as the uncertainty of these resources. The objective function was modeled to incentivize the uptake of DRES by considering the cost of emissions to incentivize the decarbonization of the power system. Also, the switching costs were modeled to consider not only the switching, but also the cost of degradation of these mechanisms in the system operation. Two systems are used to validate the model, the IEEE 119-bus system, and a real system in São Miguel Island. The results of this paper show that using DNSR, DRES, and ESS can lead to a significant 59% reduction in energy demand through a 24-hour period. In addition, using these technologies results in a healthier, more efficient, and higher quality system. This shows the benefits of using a variety of smart grid technologies in a coordinated manner.pt_PT
dc.identifier.citationSantos, S. F., Gough, M, Fitiwi, D. Z., Pogeira, J., Shafie-khah, M., & Catalão, J. P. S. (2022). Dynamic distribution system reconfiguration considering distributed renewable energy sources and energy storage systems. IEEE Systems Journal, 16(3), 3723-3733. https//doi.org/10.1109/JSYST.2021.3135716. Repositório Institucional UPT. http://hdl.handle.net/11328/4422pt_PT
dc.identifier.doi10.1109/JSYST.2021.3135716pt_PT
dc.identifier.issn1932-8184 (Print)
dc.identifier.issn1937-9234 (Electronic)
dc.identifier.urihttp://hdl.handle.net/11328/4422
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationSupported in part by FEDER funds through COMPETE 2020, and in part by the Portuguese funds through FCT under Grant POCI-010145-FEDER-029803 (02/SAICT/2017).pt_PT
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/RecentIssue.jsp/?punumber=4267003pt_PT
dc.rightsopen accesspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectDistribution systemspt_PT
dc.subjectEnergy storage systems (ESSs)pt_PT
dc.subjectRenewable power generationpt_PT
dc.subjectStochastic mixed-integer linear programming (SMILP)pt_PT
dc.titleDynamic distribution system reconfiguration considering distributed renewable energy sources and energy storage systemspt_PT
dc.typejournal articlept_PT
degois.publication.firstPage3723pt_PT
degois.publication.issue3pt_PT
degois.publication.lastPage3733pt_PT
degois.publication.titleIEEE Systems Journalpt_PT
degois.publication.volume16pt_PT
dspace.entity.typePublicationen
person.affiliation.nameREMIT – Research on Economics, Management and Information Technologies
person.familyNameSantos
person.givenNameSérgio F.
person.identifier.ciencia-idE41A-D6C6-E3D7
person.identifier.orcid0000-0003-3277-2833
person.identifier.ridGNM-6353-2022
person.identifier.scopus-author-id56483358000
relation.isAuthorOfPublicationd0a5755c-d682-4ead-bf2a-ce1ad6c63ede
relation.isAuthorOfPublication.latestForDiscoveryd0a5755c-d682-4ead-bf2a-ce1ad6c63ede

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