Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/9199
Title: Decentralized model-reference adaptive control based algorithm for power systems inter-area oscillation damping
Authors: Banga-Banga, Tswa-wen Pierre-Patrick 
Kriger, Carl 
Mfoumboulou, Yohan Darcy 
Keywords: MRAC;oscillation damping;inter-area oscillations;Gaussian noise;small-signal stability;SMIB;MATLAB/SIMULINK
Issue Date: 2022
Publisher: MDPI
Source: Banga-Banga, T. P. P., Kriger, C. & Mfoumboulou, Y. D. 2022. Decentralized model-reference adaptive control based algorithm for power systems inter-area oscillation damping. Energies, 15: 8762. [https://doi.org/10.3390/ en15228762]
Journal: Energies 
Abstract: Being the primary cause of inter-area oscillations and due to the fact that they limit the generation’s output, Low-Frequency Electromechanical Oscillations (LFEOs) represent a real threat to power system networks. Mitigating their effects is therefore crucial as it may lead to system collapse if not properly damped. As rotor angle instability is the primary cause of LFEOs, this paper presents a novel Model-Reference Adaptive Control (MRAC) scheme that enhances its stability. The proposed scheme is tested using the Single-Machine Infinite Bus (SMIB) network. The results obtained validate the proposed decentralized control architecture. The robustness of this oscillation damping controller is verified through simulations in MATLAB/SIMULINK. With Gaussian noise added to the structure of the generator to emulate small load variations responsible for the rotor angle instability, the results of the simulations show that the rotor angle remains stable. Furthermore, when subjected to faults, the recovery time is less than 500 ms.
URI: http://hdl.handle.net/11189/9199
ISSN: 1996-1073
DOI: https://doi.org/10.3390/ en15228762
Appears in Collections:Eng - Journal articles (DHET subsidised)

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