Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/7205
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dc.contributor.authorMadhavaSarma, P.-
dc.contributor.authorArulkumar, S.-
dc.contributor.authorSridevi, M.-
dc.contributor.authorVeeraragavan, P.-
dc.contributor.authorAlavandar, Srinivasan-
dc.date.accessioned2025-02-18T11:38:35Z-
dc.date.available2025-02-18T11:38:35Z-
dc.date.issued2018-
dc.identifier.citationMadhavaSarma,P.; Arulkumar,S.; Sridevi,M.; Veeraragavan,P.; Alavandar, Srinivasan. An advanced implementation of the voltage level monitoring and control using soft sensor methods for unified power quality conditioner. Timişoara: Editura Politehnica, 2018.en_US
dc.identifier.issn1582-4594-
dc.identifier.urihttps://dspace.upt.ro/xmlui/handle/123456789/7205-
dc.description.abstractThis paper presents a design and simulation of UPQC system for limitations of nonlinear load factors. The Neural Network controller is designed for tuning the PI controller parameters for achieving the optimal voltage in the solar power connected to the UPQC system. Solar power used to improve the power for load side power system designed in network. The MATLAB simulation software is used for simulation of results. From the simulation results, the Total Harmonics Distortion value is reduced from 2.77% to 1.04% in the voltage side similarly 4.48% to 1.54% in the current side. Also the waveform of the supply system is improved.en_US
dc.language.isoenen_US
dc.publisherTimișoara : Editura Politehnicaen_US
dc.relation.ispartofseriesJournal of Electrical Engineering;Vol 18 No 4-
dc.subjectUPQCen_US
dc.subjectPower Qualityen_US
dc.subjectPIen_US
dc.subjectFuzzy controlleren_US
dc.subjectParticle Swarm Optimizationen_US
dc.titleAn advanced implementation of the voltage level monitoring and control using soft sensor methods for unified power quality conditioner [articol]en_US
dc.typeArticleen_US
Appears in Collections:Articole științifice/Scientific articles

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