Document Type : Research paper


Department of Electrical Engineering, University of Zanjan, Zanjan, Iran.‎


This paper presents the mitigation of subsynchronous resonance (SSR) based on wide-area wide-area fuzzy controller in power systems including a double-fed induction generator (DFIG)-based wind farms linked to series capacitive compensated transmission networks. SSR damping is achieved by adding the fuzzy controller as a supplementary signal at the stator voltage loop of the grid-side converter (GSC) of doubly-fed induction generator (DFIG)-based wind farms. In addition, delays due to communication signals are important in using WAMS. If these delays are ignored, it causes system instability. In this paper, the delays are modeled with a separate fuzzy input to the controller. The effectiveness and efficiency of the WAMS-based fuzzy controller has been demonstrated by comparison with the particle swarm optimization (PSO), and imperialist competitive algorithm (ICA) optimization methods. The effectiveness and validity of the proposed Auxiliary damping control are verified on a modified version of the IEEE second benchmark model including DFIG-based wind farms via time simulation analysis by using MATLAB/Simulink.


  1. Lie, and P. Cartwright, “Direct active and reactive power control of DFIG for wind energy generation”, IEEE Trans. Energy Conv.,vol. 21, pp.  750-758,2006.
  2. Richard et al., “Integrating large wind farms into weak power grids with long transmission lines”, CES/IEEE 5th Int. Power Electron. Motion Control Conf., 2006.
  3. Lingling, C. Zhu, Z. Miao, “Modal analysis of a DFIG-based wind farm interfaced with a series compensated network”, IEEE Trans. Energy Conv., vol. 26, pp. 1010-20, 2011.
  4. X, Lie, and P. Cartwright, “Direct active and reactive power control of DFIG for wind energy generateon” , IEEE Trans. Energy Conv., vol. 21, pp.750-758, 2006.
  5. Mohammadpour, and E. Santi, “Optimal adaptive sub-synchronous resonance damping controller for a series-compensated doubly-fed induction generator-based wind farm”, IET Renew. Power Gener., vol. 9, pp. 669-681, 2009.
  6. Cheng et al., “Sub-synchronous interaction in Wind Power Plants-part II: An ergot case study”, IEEE Power Energy Soc. Gen. Meet., 2012.
  7. Lingling, R. Kavasseri, and Z. Lee, “Modeling of DFIG-based wind farms for SSR analysis”, IEEE Trans. Power Del., vol. 25, pp. 2073-2082, 2011.
  8. Liang, X. Xie, and Q. Jiang "Mitigation of multimodal subsynchronous resonance via controlled injection of supersynchronous and subsynchronous currents”, IEEE Trans. Power Syst., vol. 29 pp.1335-1344, 2013.
  9. X, Hailian, and M. de Oliveira, “Mitigation of SSR in presence of wind power and series compensation by SVC”, I Conf. Power Syst. Tech., 2014.
  10. Arantxa, G. Tapia, J. Xabier Ostolaza, “Modeling and control of a wind turbine driven doubly fed induction generator”, IEEE Trans. Energy Conv., vol. 18, pp. 194-204, 2003.
  11. Lie, and Y. Wang, “Dynamic modeling and control of DFIG-based wind turbines under unbalanced network conditions”, IEEE Trans. Power Syst., vol. 22, pp. 314-323, 2007.
  12. Michael et al., “A power system stabilizer for DFIG-based wind generation”, IEEE Trans. Power Syst., vol. 21, pp. 763-772, 2006.
  13. Jan, E. Muljadi, “The wind farm aggregation impact on power quality”, IECON Annual Conf. IEEE Ind. Electron., 2006.
  14. Fateh, A. Birjandi, M. Guerrero, “A subsynchronous resonance prevention for DFIG-based wind farms”, Turkish J. Electr. Eng. Comput. Sci., vol. 28, pp. 2670-2685, 2020.
  15. Huakun et al., “Quantitative SSR analysis of series-compensated DFIG-based wind farms using aggregated RLC circuit model”, IEEE Trans. Power Syst.,vol. 32, pp. 474-483, 2016.
  16. Lingling, and Z. Miao, “Mitigating SSR using DFIG-based wind generation”, IEEE Trans. Sustain. Energy, vol. 3, pp. 349-358, 2012.
  17. Mohammadpour et al., “SSR damping in wind farms using observed-state feedback control of DFIG converters”, Electr. Power Syst. Res., vol. 123, pp. 57-66, 2015.
  18. Sherif et al., “Utilizing DFIG-based wind farms for damping subsynchronous resonance in nearby turbine-generators”, IEEE Trans. Power Syst., vol. 28, pp. 452-459, 2013.
  19. Zhang, X. Xie, H. Liu, “Mitigation of sub-synchronous control interaction in wind power systems with GA-SA tuned damping controller”, IFAC-Papers On Line, vol. 50, pp. 8740-8745, 2017.
  20. Yun et al., “H∞ current damping control of DFIG based wind farm for sub-synchronous control interaction mitigation”, Int. J. Electr. Power Energy Syst., vol. 98, pp. 509-519, 2018.
  21. Huakun et al., “Mitigation of SSR by embedding subsynchronous notch filters into DFIG converter controllers”, IET Gen. Transm. Distrib., vol. 11, pp. 2888-2896, 2017.
  22. Hailian et al., “Subsynchronous resonance characteri-stics in presence of doubly‐fed induction generator and series compensation and mitigation of subsynchronous resonance by proper control of series capacitor”, IET Renew. Power Gen., vol 8. pp. 411-421, 2014.
  23. I, Garth, A. Jindal, L. Isaacs, “Sub-synchronous control interactions between type 3 wind turbines and series compensated AC transmission systems”, IEEE Power Energy Soc. Gen. Meet., 2011.
  24. Yingzong et al., “Analysis and mitigation of sub-synchronous resonance for doubly fed induction generator under VSG control”, Energies, vol. 13, pp. 1582- 1588, 2020.
  25. Raju et al., “Mitigation of subsynchronous resonance with fractional-order PI based UPFC controller”, Mech. Syst. Signal Proc., vol. 85, pp. 698-715, 2017.
  26. Raju et al., “Fractional-order PI based STATCOM and UPFC controller to diminish subsynchronous resonance”, Springer Plus, vol. 5, pp. 1-20, 2018.
  27. Raju et al., “Improved control strategy for subsynchronous resonance mitigation with fractional-order pi controller”, Int. J. Emerging Electr. Power Syst., vol. 17, pp. 683-692, 2018.
  28. Raju et al., “Effect of SSSC‐based SSR controller on the performance of distance relay and adaptive approach using synchronized measurement”, Int. Trans. Electr. Energy Syst., vol. 28. pp. 2620-2628, 2017
  29. Subinay et al., “Implementation of PLL algorithm in DFIG based wind turbine connected to utility grid”, Second Int. Conf. Inventive Res. Comput. Appl., 2020.