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Deployment of STATCOM with Fuzzy Logic Control for Improving the Performance of Power System under Different Faults Conditions.

Authors :
Fawzy, Ibram Y.
Mossa, Mahmoud A.
Elsawy, Ahmed M.
Suwarno, Iswanto
Zaki Diab, Ahmed A.
Source :
Journal of Robotics & Control (JRC); 2024, Vol. 5 Issue 3, p636-646, 11p
Publication Year :
2024

Abstract

This paper purposes to demonstrate the effectiveness of fuzzy logic controller (FLC) over proportional integral (PI) controller for reducing the fault current and maintaining the voltage profile at different faults conditions using Static Synchronous Compensator (STATCOM) which is considered an effective FACTS (Flexible Alternating Current Transmission System) device. The study evaluates the performance of a power system equipped with STATCOM which is connected in shunt with bus B1 under various faults conditions, including single-phase and three-phase faults. The performance of the STATCOM is evaluated by using two different controllers: PI controllers and FLCs. A comparative analysis is done between the performances of the two different controllers using Matlab/Simulink software package. The results obtained conclude that the presented system gives better performance with STATCOM as compared to not using it under several faults conditions besides, the STATCOM gives better response with FLC as compared to PI controller. It is demonstrated that STATCOM with FLC can reduce the positive sequence fault current at bus B1 to 96.49% of its value without using STATCOM under line to ground fault and 98.17% under three line to ground fault whereas STATCOM with PI controller can reduce it to (99.57, 99.05%), respectively. Also, the bus voltage B1 is improved to 102.19% by using STATCOM with fuzzy controller under line to ground fault and 101.86% under three line to ground fault whereas STATCOM with PI controller can improve it to (100.21, 100.93%), respectively. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
27155056
Volume :
5
Issue :
3
Database :
Complementary Index
Journal :
Journal of Robotics & Control (JRC)
Publication Type :
Academic Journal
Accession number :
177333237
Full Text :
https://doi.org/10.18196/jrc.v5i3.21558