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Lookup NU author(s): Professor Vladimir TerzijaORCiD
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
© 2024 The AuthorsTo address the technical challenge that the conventional sub-synchronous oscillation (SSO) damping strategy for doubly-fed induction generator can only suppress SSO in a specific frequency band for series compensated network, this paper proposes an Adaptive Filter Based SSO Damping (AF-SSOD) strategy for Doubly-fed Induction Generators. The AF-SSOD controller consists of a filter-based SSO Damper (SSOD) suppressing module to extract and whittle down the amplitude of the dominant SSO frequency bands, a frequency identification module to obtain real-time dominant SSO frequency by Kaiser window enhanced Fast Fourier transformation (FFT) as well as a frequency locking module to update the central frequency of SSOD, achieving the high adaptability of SSO suppression under various operating conditions. The key parameters of AF-SSOD are analyzed and optimized via small signal analysis (SSA). Finally, simulation verification and comparisons are carried out, showing that AF-SSOD can effectively suppress SSO in different frequencies with satisfactory robustness and superior performance over existing SSO suppressing strategies.
Author(s): Liu X, Yu L, Zhu J, Jia H, Chung CY, Terzija V, Mahseredjian J
Publication type: Article
Publication status: Published
Journal: International Journal of Electrical Power and Energy Systems
Year: 2024
Volume: 162
Print publication date: 01/11/2024
Online publication date: 11/10/2024
Acceptance date: 30/09/2024
Date deposited: 21/10/2024
ISSN (print): 0142-0615
ISSN (electronic): 1879-3517
Publisher: Elsevier Ltd
URL: https://doi.org/10.1016/j.ijepes.2024.110280
DOI: 10.1016/j.ijepes.2024.110280
Data Access Statement: Data has been cited and described in the article.
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