Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/114849
Campo DC Valoridioma
dc.contributor.authorSingh, Pushpendraen_US
dc.contributor.authorMeena, Nand Kishoren_US
dc.contributor.authorYang, Jinen_US
dc.contributor.authorBishnoi, Shree Krishnaen_US
dc.contributor.authorVega Fuentes, Eduardoen_US
dc.contributor.authorLou, Chengweien_US
dc.date.accessioned2022-05-24T09:56:17Z-
dc.date.available2022-05-24T09:56:17Z-
dc.date.issued2021en_US
dc.identifier.issn1996-1073en_US
dc.identifier.urihttp://hdl.handle.net/10553/114849-
dc.description.abstractThis article presents a two-stage optimization model aiming to determine optimal energy mix in distribution networks, i.e., battery energy storage, fuel cell, and wind turbines. It aims to alleviate the impact of high renewable penetration on the systems. To solve the proposed complex optimization model, a standard variant of the dragonfly algorithm (DA) has been improved and then applied to find the optimal mix of distributed energy resources. The suggested improvements are validated before their application. A heuristic approach has also been introduced to solve the second stage problem that determines the optimal power dispatch of battery energy storage as per the size suggested by the first stage. The proposed framework was implemented on a benchmark 33-bus and a practical Indian 108-bus distribution network over different test cases. The proposed model for energy mix and modified DA technique has significantly enhanced the operational performance of the network in terms of average annual energy loss reduction, node voltage profiles, and demand fluctuation caused by renewables.en_US
dc.languageengen_US
dc.relation.ispartofEnergies (Basel)en_US
dc.sourceEnergies (Basel) [ISSN 1996-1073], v. 14 (18), 5690, (2021)en_US
dc.subject3306 Ingeniería y tecnología eléctricasen_US
dc.subject.otherBattery energy storage systemen_US
dc.subject.otherDistribution networksen_US
dc.subject.otherFuel cellsen_US
dc.subject.otherOptimizationen_US
dc.subject.otherWind turbinesen_US
dc.titleModified Dragonfly Optimisation for Distributed Energy Mix in Distribution Networksen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doi10.3390/en14185690en_US
dc.identifier.scopus2-s2.0-85114957898-
dc.identifier.isiWOS:000699440300001-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.identifier.issue18-
dc.relation.volume14en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.description.notasThis article belongs to the Special Issue Design and Management of Electric Power Grids and Distributed Energy Resources for Low-Carbon Energy Distribution Systemsen_US
dc.identifier.external99753816-
dc.utils.revisionen_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INGen_US
dc.description.sjr0,653
dc.description.jcr3,252
dc.description.sjrqQ1
dc.description.jcrqQ3
dc.description.scieSCIE
dc.description.miaricds10,6
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR IUMA: Sistemas de Información y Comunicaciones-
crisitem.author.deptIU de Microelectrónica Aplicada-
crisitem.author.deptDepartamento de Ingeniería Eléctrica-
crisitem.author.orcid0000-0002-9194-5119-
crisitem.author.parentorgIU de Microelectrónica Aplicada-
crisitem.author.fullNameVega Fuentes, Eduardo-
Colección:Artículos
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