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Design of Nonlinear Robust Damping Controller for Power Oscillations Suppressing Based on Backstepping-Fractional Order Sliding Mode

Author

Listed:
  • Cheng Liu

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Guowei Cai

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Jiwei Gao

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Deyou Yang

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

Abstract

In this paper, a novel nonlinear robust damping controller is proposed to suppress power oscillation in interconnected power systems. The proposed power oscillation damping controller exhibits good nonlinearity and robustness. It can consider the strong nonlinearity of power oscillation and uncertainty of its model. First, through differential homeomorphic mapping, a mathematical model of the system can be transformed into the Brunovsky standard. Next, an extended state observer (ESO) estimated and compensated for model errors and external disturbances as well as uncertain factors to achieve dynamic linearization of the nonlinear model. A power oscillation damping controller for interconnected power systems was designed on a backstepping-fractional order sliding mode variable structure control theory (BFSMC). Compared with traditional methods, the controller exhibits good dynamic performance and strong robustness. Simulations involving a four-generator two-area and partial test system of Northeast China were conducted under various disturbances to prove the effectiveness and robustness of the proposed damping control method.

Suggested Citation

  • Cheng Liu & Guowei Cai & Jiwei Gao & Deyou Yang, 2017. "Design of Nonlinear Robust Damping Controller for Power Oscillations Suppressing Based on Backstepping-Fractional Order Sliding Mode," Energies, MDPI, vol. 10(5), pages 1-23, May.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:5:p:676-:d:98689
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    Citations

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    Cited by:

    1. Xingbao Ju & Ping Zhao & Haishun Sun & Wei Yao & Jinyu Wen, 2017. "Nonlinear Synergetic Governor Controllers for Steam Turbine Generators to Enhance Power System Stability," Energies, MDPI, vol. 10(8), pages 1-16, July.
    2. Yubo Liu & Junlong Fang & Kezhu Tan & Boyan Huang & Wenshuai He, 2020. "Sliding Mode Observer with Adaptive Parameter Estimation for Sensorless Control of IPMSM," Energies, MDPI, vol. 13(22), pages 1-18, November.
    3. Xiao Liang & Juntao Fei, 2019. "Adaptive fractional fuzzy sliding mode control of microgyroscope based on backstepping design," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-21, June.

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