Beta
34506

AGC with Fuzzy controller parameters are tuned by GA

Article

Last updated: 24 Dec 2024

Subjects

-

Tags

-

Abstract

Abstract:
This paper presents a method based on fuzzy logic controllers and genetic algorithm
technique for automatic generation control (AGC) of power systems. In this study,
ordinary fuzzy PI controller and fuzzy PI controller that its parameters are tuned by
using genetic algorithm technique also used as load-frequency controllers with classical
integral controller. The proposed control has been designed to control systems include
three areas having two steam turbines and one hydro turbine and include two areas
having two steam turbines tied together through power lines. The load perturbation to
first area of power systems that its simulation models is designed and implemented by
using computer program is applied. As result of this, changing frequency and tie-line
exchange power values is retrieve back to their desired values by using three different
kinds of controllers. From the obtained results, it is shown that the performance of
fuzzy PI controller that its gain parameters tuned by using GA outperforms than other
controller configurations.

DOI

10.21608/iceeng.2008.34506

Keywords

Automatic generation control, Fuzzy control, area control error, Genetic Algorithm

Authors

First Name

Hakan

Last Name

Saracoglu

MiddleName

-

Affiliation

Department of Electrical Engineering, Electric and Electronic Faculty, 􀃸stanbul Technical University 34469, Maslak, 􀃸stanbul 80626, Turkey.

Email

-

City

-

Orcid

-

First Name

Aysen

Last Name

Demiroren

MiddleName

-

Affiliation

Department of Electrical Engineering, Electric and Electronic Faculty, 􀃸stanbul Technical University 34469, Maslak, 􀃸stanbul 80626, Turkey.

Email

-

City

-

Orcid

-

Volume

6

Article Issue

6th International Conference on Electrical Engineering ICEENG 2008

Related Issue

5700

Issue Date

2008-05-01

Receive Date

2019-06-12

Publish Date

2008-05-01

Page Start

1

Page End

10

Print ISSN

2636-4433

Online ISSN

2636-4441

Link

https://iceeng.journals.ekb.eg/article_34506.html

Detail API

https://iceeng.journals.ekb.eg/service?article_code=34506

Order

139

Type

Original Article

Type Code

833

Publication Type

Journal

Publication Title

The International Conference on Electrical Engineering

Publication Link

https://iceeng.journals.ekb.eg/

MainTitle

AGC with Fuzzy controller parameters are tuned by GA

Details

Type

Article

Created At

22 Jan 2023