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Modeling of a Low Voltage Power Distribution Network of a University Campus

2019-01Conference object Open access
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dc.contributor.authorAbrishambaf, Omid
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.date.accessioned2021-02-22T18:00:00Z
dc.date.available2021-02-22T18:00:00Z
dc.date.issued2019-01
dc.description.abstractThe use of renewable generation and demand response programs become a reality in the nowadays electricity markets and distribution networks. An intelligent energy management system is required in all levels of electricity supply chain, in order to efficiently profit from the distributed energy sources. However, before the implementation of the business models, the mathematical and simulation models should be well surveyed and verified. This paper presents a model of low voltage distribution network of a university campus developed in MATLAB/Simulink tools. Several types of resource modelings have been used in order to develop a reliable distribution network model. In the case study of this paper, the real consumption profiles of the buildings located in the university campus are provided to the developed model and the behaviors of the network components are surveyed.pt_PT
dc.description.sponsorshipThe present work was done and funded in the scope of the following projects: H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No. 641794); and UID/EEA/00760/2019 funded by FEDER Funds through COMPETE program and by National Funds through FCT.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/17082
dc.language.isoengpt_PT
dc.publisherInstituto Politécnico do Porto. Instituto Superior de Engenhariapt_PT
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relationEnabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectDemand response programspt_PT
dc.subjectLow voltage network modelingpt_PT
dc.subjectMicrogridspt_PT
dc.subjectSimulinkpt_PT
dc.titleModeling of a Low Voltage Power Distribution Network of a University Campuspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
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/FCT/6817 - DCRRNI ID/UID%2FEEA%2F00760%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/641794/EU
oaire.citation.conferencePlacePorto, Portugalpt_PT
oaire.citation.titleFourth DREAM-GO Workshop - Demand response approaches for real-time renewable energy integrationpt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamH2020
person.familyNameAbrishambaf
person.familyNameFaria
person.familyNameVale
person.givenNameOmid
person.givenNamePedro
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id7F1A-B942-5BD2
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-4249-8367
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id57189232486
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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