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dc.contributor.advisor33
dc.contributor.authorVerdejo, Humberto
dc.contributor.authorPino, Victor
dc.contributor.authorKliemann, Wolfgang
dc.contributor.authorBecker, Cristhian
dc.contributor.authorDelpiano, José
dc.coverageDOI: 10.3390/en13082093
dc.date2020
dc.date.accessioned05-01-2026 18:03
dc.date.available05-01-2026 18:03
dc.date.issued33
dc.description.abstractThe application of artificial intelligence-based techniques has covered a wide range of applications related to electric power systems (EPS). Particularly, a metaheuristic technique known as Particle Swarm Optimization (PSO) has been chosen for the tuning of parameters for Power System Stabilizers (PSS) with success for relatively small systems. This article proposes a tuning methodology for PSSs based on the use of PSO that works for systems with ten or even more machines. Our new methodology was implemented using the source language of the commercial simulation software DigSilent PowerFactory. Therefore, it can be translated into current practice directly. Our methodology was applied to different test systems showing the effectiveness and potential of the proposed technique.
dc.identifierhttps://investigadores.uandes.cl/en/publications/09097e63-b31f-4737-9cb0-15ec24afe860
dc.identifier.citation33
dc.identifier.uri33
dc.languageeng
dc.language.iso33
dc.publisher33
dc.relation33
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourcevol.13 (2020) nr.8
dc.subjectMultimachine system
dc.subjectParticle swarm optimization
dc.subjectPower system
dc.subjectPower system stabilizer
dc.subjectMultimachine system
dc.subjectParticle swarm optimization
dc.subjectPower system
dc.subjectPower system stabilizer
dc.subjectSDG 7 - Affordable and Clean Energy
dc.title33
dc.titleImplementation of particle swarm optimization (PSO) algorithm for tuning of power system stabilizers in multimachine electric power systemseng
dc.title33spa
dc.title33und
dc.type33
dc.typeArticleeng
dc.typeArtículospa
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