An adaptive power system stabiliser based on fuzzy and swarm intelligence
by M.A. Awadallah, H.M. Soliman
International Journal of Modelling, Identification and Control (IJMIC), Vol. 5, No. 1, 2008

Abstract: Well-damped transient response of power systems signifies a vital control task. The paper presents a design methodology of an adaptive power system stabiliser (PSS) to achieve such task by targeting certain damping ratio and settling time. A standard simple-structure controller is used with the plant, which includes the synchronous generator and exciter, and the overall transfer function is derived in terms of the PSS parameters. A multi-objective optimisation function is formulated in order to force the damping ratio and settling time of the system to desired values. Particle swarm optimisation (PSO) is applied to independently obtain the PSS parameters which minimise such objective function at selected load points covering a wide range of operation. The data obtained from PSO represent the training data of an adaptive neuro-fuzzy inference system (ANFIS), which could give the PSS parameters at any load within a wide region of operating conditions. Testing of the proposed PSS shows that the desired performance indices could be fulfilled from light load to over load under both lagging and leading power factor conditions.

Online publication date: Wed, 03-Dec-2008

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 Modelling, Identification and Control (IJMIC):
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