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dc.contributor.authorRouzbehi, Kumars
dc.contributor.authorMiranian, Arash
dc.contributor.authorLuna Alloza, Álvaro
dc.contributor.authorRodríguez Cortés, Pedro
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica
dc.date.accessioned2014-03-18T09:43:24Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationRouzbehi, K. [et al.]. Optimized control of multi-terminal DC GridsUsing particle swarm optimization. A: European Conference on Power Electronics and Applications. "Proceeding of 15th European Conference on Power Electronics and Applications (EPE)". Lille: 2013, p. 1-9.
dc.identifier.urihttp://hdl.handle.net/2117/22240
dc.description.abstractThis paper addresses the important issue of Multi-Terminal DC (MTDC) grid control strategy based on the particle swarm optimization (PSO) technique. The MTDC grid is controlled by the concept of vector control, in which the AC currents and voltages are transformed into the rotating directquadrature (d-q) reference quantities which are subsequently used for decoupled control of the active and reactive powers as well as the DC and AC voltages. The paper employs an efficient PSO algorithm for optimal tuning of the controllers’ parameters in an MTDC grid. In addition, voltage droop control scheme is utilized to ensure the balance of active power within the MTDC grid. Simulation results that has obtained through detailed modeling of a four-terminal DC grid, demonstrate the efficiency of the proposed approach. Comparison to controllers optimized by genetic algorithm (GA) also confirmed the favorable performance of the proposed PSO-tuned controllers.
dc.format.extent9 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Energies::Energia elèctrica
dc.subject.otherMulti-terminal DC grids
dc.subject.otherControl
dc.subject.otherParticle swarm optimization
dc.titleOptimized control of multi-terminal DC GridsUsing particle swarm optimization
dc.typeConference lecture
dc.subject.lemacEnginyeria elèctrica
dc.contributor.groupUniversitat Politècnica de Catalunya. SEER - Sistemes Elèctrics d'Energia Renovable
dc.identifier.doi10.1109/EPE.2013.6634326
dc.relation.publisherversionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6634326
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac13041961
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorRouzbehi, K.; Miranian, A.; Luna, A.; Rodriguez, P.
local.citation.contributorEuropean Conference on Power Electronics and Applications
local.citation.pubplaceLille
local.citation.publicationNameProceeding of 15th European Conference on Power Electronics and Applications (EPE)
local.citation.startingPage1
local.citation.endingPage9


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