Research on the CSODC Strategy Based on Impedance Model Prediction and SSO Stability Assessment of DFIGs
As wind power penetration continues to increase, the sub-synchronous control interaction (SSCI) problem caused by the interaction between doubly fed induction generators (DFIGs) and series-compensated transmission lines has become increasingly prominent, posing a serious threat to power system stability. To address this problem, this research proposes a centralized sub-synchronous oscillation damping controller (CSODC) for wind farms. First, a DFIG impedance model was constructed based on multi-operating-point impedance scanning and a Taylor series expansion, achieving impedance prediction with an error of less than 2% under various power conditions. Subsequently, a CSODC comprising a sub-synchronous damping calculator (SSDC) and a power electronic converter is designed. By optimizing feedback signals, phase shift angles, gain parameters, and filter parameters, dynamic adjustment of controllable impedance in the sub-synchronous frequency band is achieved. Frequency-domain impedance analysis demonstrates that the CSODC significantly enhances the system’s equivalent resistance, reversing it from negative to positive at the resonance frequency point. Time-domain simulations validated the CSODC’s effectiveness in scenarios involving series capacitor switching and wind speed disturbances, demonstrating rapid sub-synchronous current decay. The results confirm that the proposed strategy effectively suppresses sub-synchronous oscillations across multiple scenarios, offering an economical and efficient solution to stability challenges in high-penetration renewable energy grids.
Authors
- Xiao Wang (ORCID: https://orcid.org/0000-0003-1543-8235)
- Yina Ren (ORCID: https://orcid.org/0000-0001-6226-5782)
- Xiaoyang Deng (ORCID: https://orcid.org/0000-0001-8410-6061)
- Qun Wang (ORCID: https://orcid.org/0000-0003-4410-703X)
- Xu Zhang (ORCID: https://orcid.org/0000-0003-2010-802X)
- Linlin Wu
Institutions
- North China Electric Power University (CN)
- State Grid Corporation of China (China) (CN)
- China University of Mining and Technology (CN)
Publication Details
- Journal
- Applied Sciences
- Published
- 2025-10-20
- DOI
- https://doi.org/10.3390/app152011218
- Citations
- 1
- Primary Topic
- Power Systems and Renewable Energy
- Type
- article
- Field-Weighted Citation Impact
- 0.53
Funders
- Electric Power Research Institute
- China Electric Power Research Institute