Improvement of Transient Stability using Fuzzy Logic Controlled SMES in Matlab

In this paper the transient stability of an electric power system is improved by fuzzy logic controlled superconducting magnetic energy storage (SMES). The effectiveness of the proposed fuzzy controlled SMES is compared with a conventional proportional integral (PI) controlled SMES. In addition to i...

Full description

Saved in:
Bibliographic Details
Main Author: OICC Press Authors
Format: Article
Language:English
Published: OICC Press 2024-02-01
Series:Majlesi Journal of Electrical Engineering
Subjects:
Online Access:https://oiccpress.com/mjee/article/view/5186
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849767775077138432
author OICC Press Authors
author_facet OICC Press Authors
author_sort OICC Press Authors
collection DOAJ
description In this paper the transient stability of an electric power system is improved by fuzzy logic controlled superconducting magnetic energy storage (SMES). The effectiveness of the proposed fuzzy controlled SMES is compared with a conventional proportional integral (PI) controlled SMES. In addition to it a comparison between the fuzzy controlled SMES and fuzzy controlled braking resistor (BR) is also carried out. The simulation results show that under 3 phase fault the fuzzy controlled SMES performance is better than PI controlled SMES. Furthermore, the performance of SMES is better than that of BR. The proposed method provides a very simple and effective means of improvement of transient stability.
format Article
id doaj-art-8f6f1a23e94e4f84abea549cfb01932b
institution DOAJ
issn 2345-377X
2345-3796
language English
publishDate 2024-02-01
publisher OICC Press
record_format Article
series Majlesi Journal of Electrical Engineering
spelling doaj-art-8f6f1a23e94e4f84abea549cfb01932b2025-08-20T03:04:03ZengOICC PressMajlesi Journal of Electrical Engineering2345-377X2345-37962024-02-0154Improvement of Transient Stability using Fuzzy Logic Controlled SMES in MatlabOICC Press Authors0Various OICC Press AuthorsIn this paper the transient stability of an electric power system is improved by fuzzy logic controlled superconducting magnetic energy storage (SMES). The effectiveness of the proposed fuzzy controlled SMES is compared with a conventional proportional integral (PI) controlled SMES. In addition to it a comparison between the fuzzy controlled SMES and fuzzy controlled braking resistor (BR) is also carried out. The simulation results show that under 3 phase fault the fuzzy controlled SMES performance is better than PI controlled SMES. Furthermore, the performance of SMES is better than that of BR. The proposed method provides a very simple and effective means of improvement of transient stability.https://oiccpress.com/mjee/article/view/5186Braking resistor (BR)fuzzy logic-controller (FLC)MATLAB â Simulink. proportional-integral (PI) controllerSuperconducting Magnetic Energy Storage (SMES)Technology
spellingShingle OICC Press Authors
Improvement of Transient Stability using Fuzzy Logic Controlled SMES in Matlab
Majlesi Journal of Electrical Engineering
Braking resistor (BR)
fuzzy logic-controller (FLC)
MATLAB â Simulink. proportional-integral (PI) controller
Superconducting Magnetic Energy Storage (SMES)
Technology
title Improvement of Transient Stability using Fuzzy Logic Controlled SMES in Matlab
title_full Improvement of Transient Stability using Fuzzy Logic Controlled SMES in Matlab
title_fullStr Improvement of Transient Stability using Fuzzy Logic Controlled SMES in Matlab
title_full_unstemmed Improvement of Transient Stability using Fuzzy Logic Controlled SMES in Matlab
title_short Improvement of Transient Stability using Fuzzy Logic Controlled SMES in Matlab
title_sort improvement of transient stability using fuzzy logic controlled smes in matlab
topic Braking resistor (BR)
fuzzy logic-controller (FLC)
MATLAB â Simulink. proportional-integral (PI) controller
Superconducting Magnetic Energy Storage (SMES)
Technology
url https://oiccpress.com/mjee/article/view/5186
work_keys_str_mv AT oiccpressauthors improvementoftransientstabilityusingfuzzylogiccontrolledsmesinmatlab