Open AccessSubsynchronous oscillation mitigation strategy based on adaptive band-stop filter in DFIG-based wind farms
Author(s) -
Hongyu Yang,
Shanshan Xu,
Wu Xi,
Wen Gu,
Rui Mei,
Wan Lyu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1639/1/012086
Subject(s) - robustness (evolution) , doubly fed electric machine , control theory (sociology) , matlab , induction generator , wind power , filter (signal processing) , oscillation (cell signaling) , computer science , engineering , ac power , control (management) , voltage , electrical engineering , artificial intelligence , biochemistry , chemistry , genetics , biology , gene , operating system
Subsynchronous Oscillation (SSO) may exist in doubly-fed induction generator (DFIG)-based wind farms connected with a series compensated transmission network, also called subsynchronous control interaction (SSCI). Different from thermal power units, the SSO frequency of wind farm varies with the change of system operating conditions, and has the characteristic of time-varying. When the operating conditions change, the existing mitigation strategies may lose the effect. To address this issue, a SSO mitigation strategy based on adaptive band-stop filter (ABSF) is proposed in this paper: When SSO occurs in the system, the ABSF parameter is adjusted according to the oscillation frequency measured by PASTd algorithm to filter out the subsynchronous component in the RSC loop effectively, so as to break the generation path of SSO and suppress SSO. Compared with the existing mitigation strategies, the proposed strategy doesn’t need the mathematical model of the system, and can ensure strong robustness under various operating conditions. Finally, the effectiveness and robustness of the proposed strategy are verified on the Matlab/Simulink.