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30799

Optimal PID Controller for AVR System Using Particle Swarm Optimization

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Last updated: 24 Dec 2024

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Abstract

This paper presents a method to get the optimal tuning of Proportional Integral Derivative (PID) controller parameters for an AVR system of a synchronous generator using Particle Swarm Optimization (PSO) algorithm. The AVR is not initially robust to variations of the power system parameters. Therefore, it was necessary to use PID controller to increase the stability margin and to improve performance of the system. Tuning of optimum (PID) controller parameter yield high
quality solution. A new criterion for time domain performance evaluation was defined. Simulation for comparison between the proposed method and Ziegler-Nichols method is done. The proposed method was indeed more efficient also. The
terminal voltage step response for AVR model will be discussed in different cases and the effect of adding rate feed back stabilizer to the model on the terminal voltage response. Then the rate feedback will be compared with the proposed PID controller based on use of (PSO) method to find its coefficients. Different simulation results are presented and discussed.

DOI

10.21608/iceeng.2012.30799

Authors

First Name

H.

Last Name

Abu-Seada

MiddleName

F.

Affiliation

Ministry of Electricity, Cairo, Egypt.

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First Name

W.

Last Name

Mansor

MiddleName

M.

Affiliation

Faculty of Engineering "Shoubra" Benha University, Cairo, Egypt.

Email

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City

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Orcid

-

First Name

F.

Last Name

Bendary

MiddleName

M.

Affiliation

Faculty of Engineering "Shoubra" Benha University, Cairo, Egypt.

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City

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Orcid

-

First Name

A.

Last Name

Emery

MiddleName

A.

Affiliation

National Energy Control Center, Cairo, Egypt.

Email

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City

-

Orcid

-

First Name

M.

Last Name

Hassan

MiddleName

A. Moustafa

Affiliation

Elec. Power Dept., Cairo University, Giza Egypt.

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Volume

8

Article Issue

8th International Conference on Electrical Engineering ICEENG 2012

Related Issue

5272

Issue Date

2012-05-01

Receive Date

2019-04-28

Publish Date

2012-05-01

Page Start

1

Page End

18

Print ISSN

2636-4433

Online ISSN

2636-4441

Link

https://iceeng.journals.ekb.eg/article_30799.html

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https://iceeng.journals.ekb.eg/service?article_code=30799

Order

53

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

Optimal PID Controller for AVR System Using Particle Swarm Optimization

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Article

Created At

22 Jan 2023