New decentralised control based on T-S fuzzy logic approach of an electrical wind-source integrating grid
by Mohsen Ben Ammar; Wissem Bahloul; Mohamed Ali Zdiri; Hsan Haj Abdallah
International Journal of Modelling, Identification and Control (IJMIC), Vol. 41, No. 3, 2022

Abstract: The present work is designed to advance a new methodology that allows the implementation of a decentralised control system within a multi-machine grid. The design consists in determining the grid Thevenin equivalent, as conceived by each generator node. Such a process should help in transforming the grid into n machines, whereby, each single machine must be connected to an infinite bus (SMIB). Relying on Blondel-diagram, we have been able to define a complete model relevant to each of the grid-associated machines. Given the system nonlinearity, application of a Takagi-Sugeno (T-S) fuzzy logic turns out to yield satisfactory results. Noteworthy, is that the investigated test grid has been equipped with a wind turbine, while the considered disturbances are power injected variations by this renewable source. The simulation results, implemented on the nine-node Western System Coordinating Council (WSCC) grid test, proved the remarkable robustness of the applied control in terms of disturbance reduction.

Online publication date: Wed, 07-Dec-2022

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