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Variable-Gain Super-Twisting Sliding Mode Damping Control of Series-Compensated DFIG-Based Wind Power System for SSCI Mitigation

Author

Listed:
  • Ronglin Ma

    (School of Information Science and Electrical Engineering, Shandong Jiaotong University, Jinan 250357, China)

  • Yaozhen Han

    (School of Information Science and Electrical Engineering, Shandong Jiaotong University, Jinan 250357, China)

  • Weigang Pan

    (School of Information Science and Electrical Engineering, Shandong Jiaotong University, Jinan 250357, China)

Abstract

Subsynchronous oscillation, caused by the interaction between the rotor side converter (RSC) control of the doubly fed induction generator (DFIG) and series-compensated transmission line, is an alleged subsynchronous control interaction (SSCI). SSCI can cause DFIGs to go offline and crowbar circuit breakdown, and then deteriorate power system stability. This paper proposes a novel adaptive super-twisting sliding mode SSCI mitigation method for series-compensated DFIG-based wind power systems. Rotor currents were constrained to track the reference values which are determined by maximum power point tracking (MPPT) and reactive power demand. Super-twisting control laws were designed to generate RSC control signals. True adaptive and non-overestimated control gains were conceived with the aid of barrier function, without need of upper bound of uncertainty derivatives. Stability proof of the studied closed-loop power system was demonstrated in detail with the help of the Lyapunov method. Time-domain simulation for 100 MW aggregated DFIG wind farm was executed on MATLAB/Simulink platform. Some comparative simulation results with conventional PI control, partial feedback linearization control, and first-order sliding mode were also obtained, which verify the validity, robustness, and superiority of the proposed control strategy.

Suggested Citation

  • Ronglin Ma & Yaozhen Han & Weigang Pan, 2021. "Variable-Gain Super-Twisting Sliding Mode Damping Control of Series-Compensated DFIG-Based Wind Power System for SSCI Mitigation," Energies, MDPI, vol. 14(2), pages 1-20, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:382-:d:478834
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    References listed on IDEAS

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    1. Shair, Jan & Xie, Xiaorong & Yan, Gangui, 2019. "Mitigating subsynchronous control interaction in wind power systems: Existing techniques and open challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 330-346.
    2. Ana Susperregui & Juan Manuel Herrero & Miren Itsaso Martinez & Gerardo Tapia-Otaegui & Xavier Blasco, 2019. "Multi-Objective Optimisation-Based Tuning of Two Second-Order Sliding-Mode Controller Variants for DFIGs Connected to Non-Ideal Grid Voltage," Energies, MDPI, vol. 12(19), pages 1-26, October.
    3. Yingzong Jiao & Feng Li & Hui Dai & Heng Nian, 2020. "Analysis and Mitigation of Sub-Synchronous Resonance for Doubly Fed Induction Generator under VSG Control," Energies, MDPI, vol. 13(7), pages 1-17, April.
    4. Yaozhen Han & Ronglin Ma, 2019. "Adaptive-Gain Second-Order Sliding Mode Direct Power Control for Wind-Turbine-Driven DFIG under Balanced and Unbalanced Grid Voltage," Energies, MDPI, vol. 12(20), pages 1-18, October.
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    Cited by:

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    2. Naamane Debdouche & Brahim Deffaf & Habib Benbouhenni & Zarour Laid & Mohamed I. Mosaad, 2023. "Direct Power Control for Three-Level Multifunctional Voltage Source Inverter of PV Systems Using a Simplified Super-Twisting Algorithm," Energies, MDPI, vol. 16(10), pages 1-32, May.
    3. Adolfo Dannier & Gianluca Brando & Marino Coppola, 2022. "Special Issue on Power Converter of Electric Machines, Renewable Energy Systems, and Transportation," Energies, MDPI, vol. 15(3), pages 1-3, January.

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