Damping controller design for power system oscillations using hybrid GA-SQP

Mahdiyeh Eslami, Hussain Shareef, Azah Mohamed, Mohammad Khajehzadeh

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

In this paper, a hybrid optimization method, GA-SQP, is described in which the genetic algorithm (GA) is a stochastic method is combined with the sequential quadratic programming (SQP) method, which is a deterministic method. The power system stabilizers (PSSs) parameters tuning problem is converted to an optimization problem which is solved by hybrid GA- SQP optimization algorithm. It was shown that although the SQP is fast, it is not able to solve this problem properly and is very sensitive to the choice of initial point. The GA was able to solve the problem after a large number of generations. It was shown that the proposed method is able to determine the final solution considerably faster than the GA while it is not sensitive to the initial point. GA is the main optimizer of the algorithm, whereas SQP is used to fine tune the results of GA to increase confidence in the solution. The New England 10-unit 39-bus standard power system, under various operation conditions, is employed to illustrate the performance of the proposed method. The results are very encouraging and suggest that the hybrid GA-SQP algorithm is very efficient in damping improvement of the power system.

Original languageEnglish
Pages (from-to)888-896
Number of pages9
JournalInternational Review of Electrical Engineering
Volume6
Issue number2
Publication statusPublished - Mar 2011

Fingerprint

Quadratic programming
Damping
Genetic algorithms
Controllers
Tuning

Keywords

  • Design PSS
  • GA
  • Hybrid
  • Multi-objective optimization
  • SQP

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Eslami, M., Shareef, H., Mohamed, A., & Khajehzadeh, M. (2011). Damping controller design for power system oscillations using hybrid GA-SQP. International Review of Electrical Engineering, 6(2), 888-896.

Damping controller design for power system oscillations using hybrid GA-SQP. / Eslami, Mahdiyeh; Shareef, Hussain; Mohamed, Azah; Khajehzadeh, Mohammad.

In: International Review of Electrical Engineering, Vol. 6, No. 2, 03.2011, p. 888-896.

Research output: Contribution to journalArticle

Eslami, M, Shareef, H, Mohamed, A & Khajehzadeh, M 2011, 'Damping controller design for power system oscillations using hybrid GA-SQP', International Review of Electrical Engineering, vol. 6, no. 2, pp. 888-896.
Eslami, Mahdiyeh ; Shareef, Hussain ; Mohamed, Azah ; Khajehzadeh, Mohammad. / Damping controller design for power system oscillations using hybrid GA-SQP. In: International Review of Electrical Engineering. 2011 ; Vol. 6, No. 2. pp. 888-896.
@article{65586da193434300a5c1a2dee64d62f0,
title = "Damping controller design for power system oscillations using hybrid GA-SQP",
abstract = "In this paper, a hybrid optimization method, GA-SQP, is described in which the genetic algorithm (GA) is a stochastic method is combined with the sequential quadratic programming (SQP) method, which is a deterministic method. The power system stabilizers (PSSs) parameters tuning problem is converted to an optimization problem which is solved by hybrid GA- SQP optimization algorithm. It was shown that although the SQP is fast, it is not able to solve this problem properly and is very sensitive to the choice of initial point. The GA was able to solve the problem after a large number of generations. It was shown that the proposed method is able to determine the final solution considerably faster than the GA while it is not sensitive to the initial point. GA is the main optimizer of the algorithm, whereas SQP is used to fine tune the results of GA to increase confidence in the solution. The New England 10-unit 39-bus standard power system, under various operation conditions, is employed to illustrate the performance of the proposed method. The results are very encouraging and suggest that the hybrid GA-SQP algorithm is very efficient in damping improvement of the power system.",
keywords = "Design PSS, GA, Hybrid, Multi-objective optimization, SQP",
author = "Mahdiyeh Eslami and Hussain Shareef and Azah Mohamed and Mohammad Khajehzadeh",
year = "2011",
month = "3",
language = "English",
volume = "6",
pages = "888--896",
journal = "International Review of Electrical Engineering",
issn = "1827-6660",
publisher = "Praise Worthy Prize",
number = "2",

}

TY - JOUR

T1 - Damping controller design for power system oscillations using hybrid GA-SQP

AU - Eslami, Mahdiyeh

AU - Shareef, Hussain

AU - Mohamed, Azah

AU - Khajehzadeh, Mohammad

PY - 2011/3

Y1 - 2011/3

N2 - In this paper, a hybrid optimization method, GA-SQP, is described in which the genetic algorithm (GA) is a stochastic method is combined with the sequential quadratic programming (SQP) method, which is a deterministic method. The power system stabilizers (PSSs) parameters tuning problem is converted to an optimization problem which is solved by hybrid GA- SQP optimization algorithm. It was shown that although the SQP is fast, it is not able to solve this problem properly and is very sensitive to the choice of initial point. The GA was able to solve the problem after a large number of generations. It was shown that the proposed method is able to determine the final solution considerably faster than the GA while it is not sensitive to the initial point. GA is the main optimizer of the algorithm, whereas SQP is used to fine tune the results of GA to increase confidence in the solution. The New England 10-unit 39-bus standard power system, under various operation conditions, is employed to illustrate the performance of the proposed method. The results are very encouraging and suggest that the hybrid GA-SQP algorithm is very efficient in damping improvement of the power system.

AB - In this paper, a hybrid optimization method, GA-SQP, is described in which the genetic algorithm (GA) is a stochastic method is combined with the sequential quadratic programming (SQP) method, which is a deterministic method. The power system stabilizers (PSSs) parameters tuning problem is converted to an optimization problem which is solved by hybrid GA- SQP optimization algorithm. It was shown that although the SQP is fast, it is not able to solve this problem properly and is very sensitive to the choice of initial point. The GA was able to solve the problem after a large number of generations. It was shown that the proposed method is able to determine the final solution considerably faster than the GA while it is not sensitive to the initial point. GA is the main optimizer of the algorithm, whereas SQP is used to fine tune the results of GA to increase confidence in the solution. The New England 10-unit 39-bus standard power system, under various operation conditions, is employed to illustrate the performance of the proposed method. The results are very encouraging and suggest that the hybrid GA-SQP algorithm is very efficient in damping improvement of the power system.

KW - Design PSS

KW - GA

KW - Hybrid

KW - Multi-objective optimization

KW - SQP

UR - http://www.scopus.com/inward/record.url?scp=82455205912&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=82455205912&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:82455205912

VL - 6

SP - 888

EP - 896

JO - International Review of Electrical Engineering

JF - International Review of Electrical Engineering

SN - 1827-6660

IS - 2

ER -