Beta
226488

The Impact of Optimized PID Controller Based SVC on Power systems Stability Enhancement

Article

Last updated: 23 Jan 2023

Subjects

-

Tags

-

Abstract

The stability is the most important goal in any electrical network, and the control of this network is a part of the stability organization. This article presents application of three optimization algorithms, which are Henry Gas Solubility Optimization, Grey Wolf Optimization, and Ant Lion Optimization, to obtain the PID controller parameters for Static var compensator SVC connected to Single Machine Infinite Bus (SMIB) system. The suggested optimization techniques were used to choose the most accurate PID parameters to enhance the system stability. And then applied the proposed optimization algorithm which gives the best value of J-obj in the PID controller variables with the Static VAR Compensator's (SVC) variables to get the most suitable values for them which leads to more and faster stability than without the SVC then it compared with the Power System Stabilizer (PSS). So that the importance of installing optimized SVC based PID controller is evident. 

DOI

10.21608/aujst.2021.226488

Keywords

PID controller, Optimization techniques, SVC, Power systems stability

Authors

First Name

Fatma

Last Name

Taher

MiddleName

-

Affiliation

Electrical Engineering Department, Faculty of Energy Engineering, Aswan University, Aswan, Egypt

Email

fatmaelkashef@yahoo.com

City

-

Orcid

-

First Name

Gaber

Last Name

Magdy

MiddleName

-

Affiliation

Electrical Engineering Department, Faculty of Energy Engineering, Aswan University, Aswan, Egypt

Email

gabermagdy@aswu.edu.eg

City

-

Orcid

-

First Name

Ahmed

Last Name

Ewais

MiddleName

-

Affiliation

Electrical Engineering Department, Faculty of Energy Engineering, Aswan University, Aswan, Egypt

Email

ahmed_ewais@aswu.edu.eg

City

-

Orcid

-

Volume

1

Article Issue

2

Related Issue

32491

Issue Date

2021-12-01

Receive Date

2022-03-22

Publish Date

2021-12-01

Page Start

16

Page End

32

Print ISSN

2735-3087

Online ISSN

2735-3095

Link

https://aujst.journals.ekb.eg/article_226488.html

Detail API

https://aujst.journals.ekb.eg/service?article_code=226488

Order

226,488

Type

Original papers

Type Code

2,312

Publication Type

Journal

Publication Title

Aswan University Journal of Sciences and Technology

Publication Link

https://aujst.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

23 Jan 2023