Optimal design of power system stabilizers using evolutionary programming

M. A. Abido; Y. L. Abdel-Magid

doi:10.1109/TEC.2002.805179

Optimal design of power system stabilizers using evolutionary programming

M. A. Abido^*
, Y. L. Abdel-Magid

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

116 Scopus citations

Abstract

The optimal design of power system stabilizers (PSSs) using evolutionary programming (EP) optimization technique is presented in this paper. The proposed approach employs EP to search for optimal settings of PSS parameters that shift the system eigenvalues associated with the electromechanical modes to the left in the s-plane. Incorporation of EP algorithm in the design of PSSs significantly reduces the computational burden. The performance of the proposed PSSs under different disturbances, loading conditions, and system configurations is investigated for a multimachine power system. The eigenvalue analysis and the nonlinear simulation results show the effectiveness and robustness of the proposed PSSs to damp out the local as well as the interarea modes of oscillations and work effectively over a wide range of loading conditions and system configurations.

Original language	English
Pages (from-to)	429-436
Number of pages	8
Journal	IEEE Transactions on Energy Conversion
Volume	17
Issue number	4
DOIs	https://doi.org/10.1109/TEC.2002.805179
State	Published - Dec 2002

Bibliographical note

Funding Information:
Manuscript received March 14, 2000; revised March 26, 2002. This work was supported by King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. M. A. Abido is with the Electrical Engineering Department at Menoufia University, Shebin El-Korn Minufiya, Egypt. The authors are with Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia (e-mail: [email protected]; [email protected]) Digital Object Identifier 10.1109/TEC.2002.805179

Keywords

Dynamic stability
Evolutionary programming
PSS design

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1109/TEC.2002.805179

Cite this

@article{760d26b71ab042d7a28dc406f1bc76ff,

title = "Optimal design of power system stabilizers using evolutionary programming",

abstract = "The optimal design of power system stabilizers (PSSs) using evolutionary programming (EP) optimization technique is presented in this paper. The proposed approach employs EP to search for optimal settings of PSS parameters that shift the system eigenvalues associated with the electromechanical modes to the left in the s-plane. Incorporation of EP algorithm in the design of PSSs significantly reduces the computational burden. The performance of the proposed PSSs under different disturbances, loading conditions, and system configurations is investigated for a multimachine power system. The eigenvalue analysis and the nonlinear simulation results show the effectiveness and robustness of the proposed PSSs to damp out the local as well as the interarea modes of oscillations and work effectively over a wide range of loading conditions and system configurations.",

keywords = "Dynamic stability, Evolutionary programming, PSS design",

author = "Abido, \{M. A.\} and Abdel-Magid, \{Y. L.\}",

note = "Funding Information: Manuscript received March 14, 2000; revised March 26, 2002. This work was supported by King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. M. A. Abido is with the Electrical Engineering Department at Menoufia University, Shebin El-Korn Minufiya, Egypt. The authors are with Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia (e-mail: [email protected]; [email protected]) Digital Object Identifier 10.1109/TEC.2002.805179",

year = "2002",

month = dec,

doi = "10.1109/TEC.2002.805179",

language = "English",

volume = "17",

pages = "429--436",

journal = "IEEE Transactions on Energy Conversion",

issn = "0885-8969",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "4",

}

TY - JOUR

T1 - Optimal design of power system stabilizers using evolutionary programming

AU - Abido, M. A.

AU - Abdel-Magid, Y. L.

N1 - Funding Information: Manuscript received March 14, 2000; revised March 26, 2002. This work was supported by King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. M. A. Abido is with the Electrical Engineering Department at Menoufia University, Shebin El-Korn Minufiya, Egypt. The authors are with Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia (e-mail: [email protected]; [email protected]) Digital Object Identifier 10.1109/TEC.2002.805179

PY - 2002/12

Y1 - 2002/12

N2 - The optimal design of power system stabilizers (PSSs) using evolutionary programming (EP) optimization technique is presented in this paper. The proposed approach employs EP to search for optimal settings of PSS parameters that shift the system eigenvalues associated with the electromechanical modes to the left in the s-plane. Incorporation of EP algorithm in the design of PSSs significantly reduces the computational burden. The performance of the proposed PSSs under different disturbances, loading conditions, and system configurations is investigated for a multimachine power system. The eigenvalue analysis and the nonlinear simulation results show the effectiveness and robustness of the proposed PSSs to damp out the local as well as the interarea modes of oscillations and work effectively over a wide range of loading conditions and system configurations.

AB - The optimal design of power system stabilizers (PSSs) using evolutionary programming (EP) optimization technique is presented in this paper. The proposed approach employs EP to search for optimal settings of PSS parameters that shift the system eigenvalues associated with the electromechanical modes to the left in the s-plane. Incorporation of EP algorithm in the design of PSSs significantly reduces the computational burden. The performance of the proposed PSSs under different disturbances, loading conditions, and system configurations is investigated for a multimachine power system. The eigenvalue analysis and the nonlinear simulation results show the effectiveness and robustness of the proposed PSSs to damp out the local as well as the interarea modes of oscillations and work effectively over a wide range of loading conditions and system configurations.

KW - Dynamic stability

KW - Evolutionary programming

KW - PSS design

UR - https://www.scopus.com/pages/publications/0036969153

U2 - 10.1109/TEC.2002.805179

DO - 10.1109/TEC.2002.805179

M3 - Article

AN - SCOPUS:0036969153

SN - 0885-8969

VL - 17

SP - 429

EP - 436

JO - IEEE Transactions on Energy Conversion

JF - IEEE Transactions on Energy Conversion

IS - 4

ER -

Optimal design of power system stabilizers using evolutionary programming

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this