Optimization of power system stabilizers using participation factor and genetic algorithm

This paper describes a method to determine the optimal location and the number of multi-machine power system stabilizers (PSSs) using participation factor (PF) and genetic algorithm (GA). The PF method is primarily used for number estimation and to identify the location of the PSSs, while the GA is...

Full description

Bibliographic Details
Main Authors:	Hassan, L.H., Moghavvemi, M., Almurib, H.A.F., Muttaqi, K.M., Ganapathy, V.G.
Format:	Article
Published:	Elsevier 2014
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	https://doi.org/10.1016/j.ijepes.2013.10.026 https://doi.org/10.1016/j.ijepes.2013.10.026

id	um-9710
recordtype	eprints
spelling	um-97102017-11-23T03:44:55Z Optimization of power system stabilizers using participation factor and genetic algorithm Hassan, L.H. Moghavvemi, M. Almurib, H.A.F. Muttaqi, K.M. Ganapathy, V.G. TA Engineering (General). Civil engineering (General) This paper describes a method to determine the optimal location and the number of multi-machine power system stabilizers (PSSs) using participation factor (PF) and genetic algorithm (GA). The PF method is primarily used for number estimation and to identify the location of the PSSs, while the GA is applied to further reduce the number of PSSs, resulting in the optimization of their parameters and locations under different operating conditions. The problem is presented as a multi-objective optimization problem; maximizing the damping ratio of the electromechanical modes using different numbers of PSSs. The approach is successfully tested on the New England-New York interconnected system (16-machine and 68-bus), and its effectiveness in damping of local and inter-area modes of oscillations was proven. It is also compared to two other methods, which use only GA, in terms of damping ratio and computation time. In addition, the proposed approach demonstrates better performance compared to a fuzzy-based PSS when applied to the Iraqi National Super Grid System (INSGS). Elsevier 2014 Article PeerReviewed https://doi.org/10.1016/j.ijepes.2013.10.026 Hassan, L.H.; Moghavvemi, M.; Almurib, H.A.F.; Muttaqi, K.M.; Ganapathy, V.G. (2014) Optimization of power system stabilizers using participation factor and genetic algorithm. International Journal of Electrical Power & Energy Systems <http://eprints.um.edu.my/view/publication/International_Journal_of_Electrical_Power_=26_Energy_Systems.html>, 55. pp. 668-679. ISSN 0142-0615 http://eprints.um.edu.my/9710/
repository_type	Digital Repository
institution_category	Local University
institution	University Malaya
building	UM Research Repository
collection	Online Access
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Hassan, L.H. Moghavvemi, M. Almurib, H.A.F. Muttaqi, K.M. Ganapathy, V.G. Optimization of power system stabilizers using participation factor and genetic algorithm
description	This paper describes a method to determine the optimal location and the number of multi-machine power system stabilizers (PSSs) using participation factor (PF) and genetic algorithm (GA). The PF method is primarily used for number estimation and to identify the location of the PSSs, while the GA is applied to further reduce the number of PSSs, resulting in the optimization of their parameters and locations under different operating conditions. The problem is presented as a multi-objective optimization problem; maximizing the damping ratio of the electromechanical modes using different numbers of PSSs. The approach is successfully tested on the New England-New York interconnected system (16-machine and 68-bus), and its effectiveness in damping of local and inter-area modes of oscillations was proven. It is also compared to two other methods, which use only GA, in terms of damping ratio and computation time. In addition, the proposed approach demonstrates better performance compared to a fuzzy-based PSS when applied to the Iraqi National Super Grid System (INSGS).
format	Article
author	Hassan, L.H. Moghavvemi, M. Almurib, H.A.F. Muttaqi, K.M. Ganapathy, V.G.
author_facet	Hassan, L.H. Moghavvemi, M. Almurib, H.A.F. Muttaqi, K.M. Ganapathy, V.G.
author_sort	Hassan, L.H.
title	Optimization of power system stabilizers using participation factor and genetic algorithm
title_short	Optimization of power system stabilizers using participation factor and genetic algorithm
title_full	Optimization of power system stabilizers using participation factor and genetic algorithm
title_fullStr	Optimization of power system stabilizers using participation factor and genetic algorithm
title_full_unstemmed	Optimization of power system stabilizers using participation factor and genetic algorithm
title_sort	optimization of power system stabilizers using participation factor and genetic algorithm
publisher	Elsevier
publishDate	2014
url	https://doi.org/10.1016/j.ijepes.2013.10.026 https://doi.org/10.1016/j.ijepes.2013.10.026
first_indexed	2018-09-06T05:45:05Z
last_indexed	2018-09-06T05:45:05Z
_version_	1610835774011342848

Optimization of power system stabilizers using participation factor and genetic algorithm

Similar Items