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 |