A Robust SSSC Oriented Control Framework for Damping Sub Synchronous Oscillations in Wind Integrated Grids
Abstract
Sub Synchronous Resonance (SSR) poses a serious threat to the stability of modern power systems, particularly those integrating Doubly Fed Induction Generator (DFIG) based wind farms with series-compensated transmission lines. The increasing penetration and stochastic nature of wind power further intensify SSR-related oscillatory instability, necessitating effective damping solutions. This paper proposes an optimized Static Synchronous Series Compensator (SSSC) based control strategy for mitigating SSR in wind integrated power systems. Detailed dynamic models of wind turbines and DFIGs are developed, while wind power uncertainties are incorporated using a probabilistic point estimation method. The SSSC is employed as the primary damping device, and its control parameters are optimally tuned using the Non-Dominated Sorting Genetic Algorithm (NSGA). Simulation results on a benchmark test system demonstrate that, in the absence of compensation, severe sub-synchronous oscillations drive the system toward instability. In contrast, the proposed SSSC scheme significantly suppresses oscillation amplitude, ensures rapid damping, and restores system stability. Comparative analysis confirms superior performance over conventional compensators, including TCSC, in terms of damping speed, robustness, and overall stability enhancement
Keywords:
Sub-synchronous Resonance, Doubly fed induction generator, Static synchronous series compensator, Probabilistic point estimation Method, Power system stabilityReferences
- [1] Su, C. L. (2005). Probabilistic load-flow computation using point estimate method. IEEE transactions on power systems, 20(4), 1843–1851. https://doi.org/10.1109/TPWRS.2005.857921
- [2] Ai, Y., Du, M., Pan, Z., & Li, G. (2021). The optimization of reactive power for distribution network with PV generation based on NSGA-III. CPSS transactions on power electronics and applications, 6(3), 193–200. https://doi.org/10.24295/CPSSTPEA.2021.00017
- [3] Xu, J., Tang, H., Wang, X., Qin, G., Jin, X., & Li, D. (2022). NSGA-II algorithm-based LQG controller design for nuclear reactor power control. Annals of nuclear energy, 169, 108931. https://doi.org/10.1016/j.anucene.2021.108931
- [4] Li, H., Lü, Z., & Yuan, X. (2008). Nataf transformation based point estimate method. Chinese science bulletin, 53(17), 2586–2592. https://doi.org/10.1007/s11434-008-0351-0
- [5] Mihalic, R., Zunko, P., & Povh, D. (1996). Improvement of transient stability using unified power flow controller. IEEE transactions on power delivery, 11(1), 485–492. https://doi.org/10.1109/61.484133
- [6] Samanes, J., Gubia, E., Lopez, J., & Burgos, R. (2020). Sub-synchronous resonance damping control strategy for DFIG wind turbines. IEEE access, 8, 223359–223372. https://doi.org/10.1109/ACCESS.2020.3043818
- [7] Ma, J., & Shen, Y. (2020). Stability assessment of DFIG subsynchronous oscillation based on energy dissipation intensity analysis. IEEE transactions on power electronics, 35(8), 8074–8087. https://doi.org/10.1109/TPEL.2019.2962217
- [8] Ma, J., Xu, H., Li, P., & Cheng, P. (2021). Stability analysis of sub-synchronous oscillation in power system connected with virtual synchronous DFIGs. IET renewable power generation, 15(16), 3957–3977. https://doi.org/10.1049/rpg2.12314
- [9] Li, P., Wang, J., Xiong, L., Ma, M., Wang, Z., & Huang, S. (2020). Robust sub-synchronous damping controller to mitigate SSCI in series-compensated DFIG-based wind park. IET generation, transmission & distribution, 14(9), 1762–1769. https://doi.org/10.1049/iet-gtd.2019.0984
- [10] Jewel, A. S. (2022). Mitigation of Subsynchronous Resonance Effect in a DFIG-Based Wind Farm with a Series-Compensated Transmission Line. https://doi.org/10.1109/SAZZAD-ECE54711.2021.9829556
- [11] Rohit, C., Darji, P., & Jariwala, H. R. (2023). A preordainment approach for design of auxiliary damping controller and SSSC tuning to enhance SSR mode stability in DFIG based windfarm. Smart science, 11(3), 605–628. https://doi.org/10.1080/23080477.2023.2213469
- [12] Anju, M., Shihabudheen, K. V, & Mija, S. J. (2025). Enhancing grid stability: a hybrid control strategy for DFIG-based wind turbines to mitigate sub-synchronous oscillations. Electrical engineering, 107(7), 8613–8644. https://doi.org/10.1007/s00202-024-02387-8
- [13] Nguyen, P., Minh, C., Minh, V., & Le, N. (2025). Analysis of sub-synchronous oscillation in grid-connected wind farm and proposed improved solution. IEEE access, PP, 1. https://doi.org/10.1109/ACCESS.2025.3572782
- [14] Roy, T. K., Mahmud, M. A., & Than Oo, A. (2025). Adaptive sigmoid-modulated terminal sliding mode control for coordinated SSR damping in DFIG-Based wind farms. IEEE transactions on industry applications, PP, 1–17. https://doi.org/10.1109/TIA.2025.3625864
- [15] Ma, T., Wang, S., Yang, S., & Aliev, H. (2024). Enhanced voltage drop compensation in wind-driven microgrids using a hybrid dual-vector controller and SSSC. IEEE access, PP, 1. https://doi.org/10.1109/ACCESS.2024.3458816
- [16] Kamarposhti, M. A., Shokouhandeh, H., Kang, S. K., Colak, I., & Barhoumi, E. M. (2025). Design and optimization of a robust wide‐area damping controller for mitigating inter‐area oscillations in wind‐integrated power systems. Energy science and engineering. https://doi.org/10.1002/ese3.70161
- [17] Chicaiza, L., Tipán, L., Jaramillo, M., & Barrera-Singaña, C. (2025). Mitigation of subsynchronous resonance in doubly fed induction generator systems by static synchronous compensator using Fuzzy logic. Energies, 18(17), 4653. https://doi.org/10.3390/en18174653
- [18] Itouchene, H., Amrane, F., Boudries, Z., Mekhilef, S., Benbouhenni, H., & Bizon, N. (2025). Enhancing the performance of grid-connected DFIG systems using prescribed convergence law. Scientific reports, 15(1), 28550. https://doi.org/10.1038/s41598-025-13847-x
- [19] Bhukya, J. (2025). Optimal coordination of advanced PODC and multiple FACTS devices for enhanced stability in wind farm-based power systems: a genetic algorithm approach. International journal of modelling and simulation, 1–30. https://doi.org/10.1080/02286203.2025.2482631
- [20] Wang, Z., Sadiq, R., & Gan, D. (2024). A reduced-order robust wide-area damping control for wind-pv-thermal-bundled power system considering operational uncertainties and communication resilience. IEEE access, PP, 1. https://doi.org/10.1109/ACCESS.2024.3370677