AC OPF for smart distribution networks: An efficient and robust quadratic approach

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dc.contributor.authorFranco, John F. [UNESP]
dc.contributor.authorOchoa, Luis F.
dc.contributor.authorRomero, Ruben [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversity of Melbourne
dc.contributor.institutionUniversity of Manchester
dc.date.accessioned2018-12-11T17:33:13Z
dc.date.available2018-12-11T17:33:13Z
dc.date.issued2018-09-01
dc.description.abstractSmart grid schemes in which multiple network elements and participants are managed for the benefit of the distribution network (e.g., energy loss reduction, restoration, etc.) require sophisticated algorithms to control them in the most suitable manner while catering for network constraints. Such a complex decision making process can be solved by tailoring the ac optimal power flow (OPF) problem to the corresponding smart grid scheme. Non-linear programming ac OPF formulations, however, can suffer from scalability and robustness issues which in turn might limit their adoption. Here, a novel quadratic programming formulation is proposed and compared against the non-linear, quadratically constrained, and linearized approaches. Two cases are carried out to assess their performance: 1) management of distributed generation units to maximize renewable energy harvesting (continuous control variables) and 2) control of capacitors to minimize energy losses (discrete control variables). The results demonstrate that the proposed quadratic approach significantly outperforms the more conventional formulations in both computational efficiency and robustness. This makes it a suitable alternative to be at the heart of the decision making of complex, real-time schemes to be adopted by future smart distribution networks.en
dc.description.affiliationUniversidade Estadual Paulista UNESP
dc.description.affiliationDepartment of Electrical and Electronic Engineering University of Melbourne
dc.description.affiliationSchool of Electrical and Electronic Engineering University of Manchester
dc.description.affiliationFaculdade de Engenharia de Ilha Solteira Universidade Estadual Paulista UNESP
dc.description.affiliationUnespUniversidade Estadual Paulista UNESP
dc.description.affiliationUnespFaculdade de Engenharia de Ilha Solteira Universidade Estadual Paulista UNESP
dc.format.extent4613-4623
dc.identifierhttp://dx.doi.org/10.1109/TSG.2017.2665559
dc.identifier.citationIEEE Transactions on Smart Grid, v. 9, n. 5, p. 4613-4623, 2018.
dc.identifier.doi10.1109/TSG.2017.2665559
dc.identifier.file2-s2.0-85023753902.pdf
dc.identifier.issn1949-3053
dc.identifier.scopus2-s2.0-85023753902
dc.identifier.urihttp://hdl.handle.net/11449/179028
dc.language.isoeng
dc.relation.ispartofIEEE Transactions on Smart Grid
dc.relation.ispartofsjr2,854
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectDistribution networks
dc.subjectNon-linear programming
dc.subjectOptimal power flow
dc.subjectQuadratic programming
dc.subjectQuadratically constrained programming
dc.subjectSmart grids
dc.titleAC OPF for smart distribution networks: An efficient and robust quadratic approachen
dc.typeArtigo
unesp.author.orcid0000-0002-7191-012X[1]
unesp.author.orcid0000-0002-7853-4286[2]
unesp.author.orcid0000-0002-7744-254X[3]

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