Optimization of power system stabilizers using participation factor and genetic algorithm

Hassan, L.H. and Moghavvemi, M. and Almurib, H.A.F. and Muttaqi, K.M. and Ganapathy, V.G. (2014) Optimization of power system stabilizers using participation factor and genetic algorithm. International Journal of Electrical Power & Energy Systems, 55. pp. 668-679. ISSN 0142-0615

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Official URL: https://doi.org/10.1016/j.ijepes.2013.10.026

Abstract

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).

Item Type: Article
Uncontrolled Keywords: Genetic algorithm; Low-frequency oscillations; Optimal location and number; Participation factor; PSS design; Different operating conditions; Electromechanical modes; Low-frequency oscillations; Multi-machine power system stabilizers; Multi-objective optimization problem; Optimal location and number; Participation factors; PSS designs
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: Ms. Norhamizah Tamizi
Date Deposited: 24 Mar 2014 09:51
Last Modified: 23 Nov 2017 03:44
URI: http://eprints.um.edu.my/id/eprint/9710

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