PSS parameters values finding using SMVSDFT objective function and a new technique for multi-objective function in a multi-machine power system
by Zahra Rafiee; Abbas Fattahi Meyabadi; Hamidreza Heydari
International Journal of Power and Energy Conversion (IJPEC), Vol. 6, No. 3, 2015

Abstract: In power systems, the application of power system stabiliser (PSS) has been proved to lead to the stability of power systems. It is necessary to determine PSS parameters, exactly. In this study, a new objective function is presented to study stability of the power system. This function applies for the obtaining of PSSs parameters also, when there are several PSSs simultaneously in a multi-machine power system with two areas. Stability of a multi-area power system is a multi-objective problem, so in this study, the use of a new multi-objective function has been presented. The power plant system that is simulated in this study is the model of Kundur's two-area power system. PSSs parameters are optimised particle swarm optimisation and genetic algorithms and by using a new multi-objective function algorithm, simultaneously. The responses are compared with PSS parameters for the Kundur's two area power system. The responses PSO-PSS and GA-PSO are also compared with each other and of the multi-objective function algorithm and of the efficiency new objective function called SMVS-DFT will be proved.

Online publication date: Tue, 07-Jul-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Power and Energy Conversion (IJPEC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com