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

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