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dc.contributor.authorGuerra Sánchez, Luis Gerardo
dc.contributor.authorMartínez Velasco, Juan Antonio
dc.date.accessioned2019-03-14T07:56:16Z
dc.date.available2019-03-14T07:56:16Z
dc.date.issued2018-01-01
dc.identifier.citationGuerra, L.; Martinez, J. A review of tools, models and techniques for long-term assessment of distribution systems using OpenDSS and parallel computing. "AIMS Energy", 1 Gener 2018, vol. 6, p. 764-800.
dc.identifier.issn2333-8326
dc.identifier.urihttp://hdl.handle.net/2117/130420
dc.description.abstractMany distribution system studies require long-term evaluations (e.g. for one year or more): Energy loss minimization, reliability assessment, or optimal rating of distributed energy resources should be based on long-term simulations of the distribution system. This paper summarizes the work carried out by the authors to perform long-term studies of large distribution systems using an OpenDSS-MATLAB environment and parallel computing. The paper details the tools, models, and procedures used by the authors in optimal allocation of distributed resources, reliability assessment of distribution systems with and without distributed generation, optimal rating of energy storage systems, or impact analysis of the solid state transformer. Since in most cases, the developed procedures were implemented for application in a multicore installation, a summary of capabilities required for parallel computing applications is also included. The approaches chosen for carrying out those studies used the traditional Monte Carlo method, clustering techniques or genetic algorithms. Custom-made models for application with OpenDSS were required in some studies: A summary of the characteristics of those models and their implementation are also included.
dc.format.extent37 p.
dc.language.isoeng
dc.rightsAttribution 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Energies::Energia elèctrica
dc.subject.lcshElectric power systems
dc.subject.otherclustering technique
dc.subject.otherdistributed energy resource
dc.subject.otherdistribution system
dc.subject.othergenetic algorithm
dc.subject.otherModeling
dc.subject.otherMonte Carlo method
dc.subject.otheroptimization
dc.subject.otherparallel computation
dc.subject.otherreliability
dc.titleA review of tools, models and techniques for long-term assessment of distribution systems using OpenDSS and parallel computing
dc.typeArticle
dc.subject.lemacSistemes de distribució d'energia elèctrica
dc.identifier.doi10.3934/ENERGY.2018.5.764
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.aimspress.com/article/10.3934/energy.2018.5.764
dc.rights.accessOpen Access
drac.iddocument23997263
dc.description.versionPostprint (published version)
upcommons.citation.authorGuerra, L.; Martinez, J.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameAIMS Energy
upcommons.citation.volume6
upcommons.citation.startingPage764
upcommons.citation.endingPage800


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    Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution 3.0 Spain