Fault Analysis using SFCL in the Convertor System at the Load Line

SMART MOVES JOURNAL IJOSCIENCE

View Publication Info
 
 
Field Value
 
Title Fault Analysis using SFCL in the Convertor System at the Load Line
 
Creator Baghel, Suman
Jarring, Sanjeev
 
Subject LG, LLG, MMPT, NHS.
 
Description Among many renewable energy sources, solar energy is considered one of the most promising resources for large-scale electricity generation. Here propose resistive SFCL if a fault occurs in a simple low voltage (LV) network. To assess the impact of SFCL in the power system under study, the space-time approach is used to evaluate the short-circuit current in force and spurious control strategies are suggested to achieve the goal. The results complement the feasibility of the proposed A-ACO-based rationalization control for transmission activity according to the limiting circuit and fault current analyzer. The second model of the bastard chassis concludes that the chassis with residual current limiting circuit and analyzer reduces the expansion of the residual current and prevents the voltage from dropping to zero, that no artificial and temporal innovation is used as before. Intelligence-based computer procedures further shorten the working time, which also makes the frame more efficient, as the voltage is restored to its typical value in a short time if the test frame is played for 1 second in a MATLAB climate / SIMULINK. The time taken by the ACO algorithm to restore normal operating conditions in the line was 0.197 seconds, 0.206 seconds and 0.27 seconds for LLLG, LLG and LG errors, respectively.
 
Publisher SMART MOVES
 
Date 2021-08-28
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
science
 
Format application/pdf
 
Identifier http://ijoscience.com/ojsscience/index.php/ojsscience/article/view/405
10.24113/ijoscience.v7i8.405
 
Source SMART MOVES JOURNAL IJOSCIENCE; Volume 7, Issue 8, August 2021; 60-67
2582-4600
 
Language eng
 
Relation http://ijoscience.com/ojsscience/index.php/ojsscience/article/view/405/927
 
Rights Copyright (c) 2021 Suman Baghel, Sanjeev Jarariya
http://creativecommons.org/licenses/by/4.0
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library