Title: New decentralised control based on T-S fuzzy logic approach of an electrical wind-source integrating grid

Authors: Mohsen Ben Ammar; Wissem Bahloul; Mohamed Ali Zdiri; Hsan Haj Abdallah

Addresses: Department of Electrical Engineering, CEMLab, Control and Energy Management Laboratory, ENIS, National Engineering School of Sfax, University of Sfax, Route de la Soukra km 3.5, 3000 Sfax, Tunisia ' CEMLab, Control and Energy Management Laboratory, ENIS, National Engineering School of Sfax, University of Sfax, Route de la Soukra km 3.5, 3000 Sfax, Tunisia ' CEMLab, Control and Energy Management Laboratory, ENIS, National Engineering School of Sfax, University of Sfax, Route de la Soukra km 3.5, 3000 Sfax, Tunisia ' CEMLab, Control and Energy Management Laboratory, ENIS, National Engineering School of Sfax, University of Sfax, Route de la Soukra km 3.5, 3000 Sfax, Tunisia

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.

Keywords: electrical grid; wind energy; AVR and PSS controllers; Thevenin model; decentralised control; fuzzy logic; electrical machine; WSCC 9 nodes.

DOI: 10.1504/IJMIC.2022.127530

International Journal of Modelling, Identification and Control, 2022 Vol.41 No.3, pp.256 - 276

Received: 24 Dec 2021
Received in revised form: 19 Apr 2022
Accepted: 12 May 2022
Published online: 07 Dec 2022 *

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