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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Waveform-Based Method for Fast and Accurate Identification of Subsynchronous Resonance Events

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Gao, Bo [1] ; Torquato, Ricardo [1] ; Xu, Wilsun [1] ; Freitas, Walmir [2]
Total Authors: 4
[1] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2R3 - Canada
[2] Univ Estadual Campinas, Dept Syst & Energy, BR-13083852 Campinas, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: IEEE Transactions on Power Systems; v. 34, n. 5, p. 3626-3636, SEP 2019.
Web of Science Citations: 0

An increasing number of unstable subsynchronous resonance (SSR) has occurred for wind farms recently. These events can lead to significant loss of generation, threatening the safe operation of the system, and even damaging the generators. Accurate knowledge of SSR characteristics (SSR frequency, current magnitude, and damping) at an early stage of the event is critical for its effective mitigation. This paper proposes a method for fast and accurate identification of an SSR event and its characteristics. It takes advantage of time-stamped waveform measurements that are typically available on the terminals of series compensated transmission lines. It uses the known model of the line as a ``filter{''} to extract the SSR components. Case studies demonstrate that the proposed algorithm can accurately compute the SSR frequency, SSR current magnitude, and damping in around one SSR cycle or less. In addition to line parameters uncertainties, the method has also proven to remain robust in the presence of harmonic distortions and reduced waveform sampling rates. (AU)

FAPESP's process: 18/24018-0 - Methodologies for the Integration of High-Resolution Measurements on Management of Modern Power Distribution Systems
Grantee:Ricardo Torquato Borges
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 16/08645-9 - Interdisciplinary research activities in electric smart grids
Grantee:João Bosco Ribeiro do Val
Support Opportunities: Research Projects - Thematic Grants