Stochastic assessment of distributed generation hosting capacity and energy efficiency in active distribution networks

dc.contributor.authorQuijano, Darwin Alexis [UNESP]
dc.contributor.authorWang, Jianhui
dc.contributor.authorSarker, Mushfiqur R.
dc.contributor.authorPadilha-Feltrin, Antonio [UNESP]
dc.contributor.institutionArgonne National Laboratory
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T17:17:24Z
dc.date.available2018-12-11T17:17:24Z
dc.date.issued2017-12-21
dc.description.abstractActive network management (ANM) aims to increase the capacity of variable distributed generation (DG), which can be connected to existing distribution networks. In this study, it is proposed to simultaneously consider the efficient use of energy resources when high shares of DG are procured through the ANM approach. To that end, a multi-period and multiobjective optimisation algorithm, based on the linearised optimal power flow, is formulated. The algorithm seeks to maximise the installed capacity of DG while minimising the energy losses and consumption of voltage-dependent loads. The objectives are optimised considering the coordinated operation of voltage regulators and on-load tap changers, and the management of DG generation curtailment and reactive power compensation from DG. Additionally, the effects of load and generation uncertainties are addressed through a two-stage stochastic programming formulation of the multiobjective problem. The result is a set of non-inferior solutions, which allows exploring the degree of conflict among the objectives. The proposed approach was tested on two IEEE test feeders and the solutions show a significant improvement in the system's energy efficiency with a low impact on the amount of connected DG.en
dc.description.affiliationEnergy Systems Division Argonne National Laboratory
dc.description.affiliationDepartment of Electrical Engineering Universidade Estadual Paulista - UNESP Ilha Solteira
dc.description.affiliationUnespDepartment of Electrical Engineering Universidade Estadual Paulista - UNESP Ilha Solteira
dc.format.extent4617-4625
dc.identifierhttp://dx.doi.org/10.1049/iet-gtd.2017.0557
dc.identifier.citationIET Generation, Transmission and Distribution, v. 11, n. 18, p. 4617-4625, 2017.
dc.identifier.doi10.1049/iet-gtd.2017.0557
dc.identifier.file2-s2.0-85040783924.pdf
dc.identifier.issn1751-8687
dc.identifier.scopus2-s2.0-85040783924
dc.identifier.urihttp://hdl.handle.net/11449/175763
dc.language.isoeng
dc.relation.ispartofIET Generation, Transmission and Distribution
dc.relation.ispartofsjr0,907
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.titleStochastic assessment of distributed generation hosting capacity and energy efficiency in active distribution networksen
dc.typeArtigo
unesp.author.lattes3886842168147059[4]
unesp.author.orcid0000-0001-6495-440X[4]

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