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An advanced implementation of the voltage level monitoring and control using soft sensor methods for unified power quality conditioner [articol]

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dc.contributor.author MadhavaSarma, P.
dc.contributor.author Arulkumar, S.
dc.contributor.author Sridevi, M.
dc.contributor.author Veeraragavan, P.
dc.contributor.author Alavandar, Srinivasan
dc.date.accessioned 2025-02-18T11:38:35Z
dc.date.available 2025-02-18T11:38:35Z
dc.date.issued 2018
dc.identifier.citation MadhavaSarma,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.issn 1582-4594
dc.identifier.uri https://dspace.upt.ro/xmlui/handle/123456789/7205
dc.description.abstract This 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.iso en en_US
dc.publisher Timișoara : Editura Politehnica en_US
dc.relation.ispartofseries Journal of Electrical Engineering;Vol 18 No 4
dc.subject UPQC en_US
dc.subject Power Quality en_US
dc.subject PI en_US
dc.subject Fuzzy controller en_US
dc.subject Particle Swarm Optimization en_US
dc.title An advanced implementation of the voltage level monitoring and control using soft sensor methods for unified power quality conditioner [articol] en_US
dc.type Article en_US


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