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Forced Oscillation Grid Vulnerability Analysis and Mitigation Using Inverter-Based Resources: Texas Grid Case Study

Author

Listed:
  • Khaled Alshuaibi

    (Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA)

  • Yi Zhao

    (Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA)

  • Lin Zhu

    (Electric Power Research Institute, Palo Alto, CA 94304, USA)

  • Evangelos Farantatos

    (Electric Power Research Institute, Palo Alto, CA 94304, USA)

  • Deepak Ramasubramanian

    (Electric Power Research Institute, Palo Alto, CA 94304, USA)

  • Wenpeng Yu

    (Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA)

  • Yilu Liu

    (Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA
    Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA)

Abstract

Forced oscillation events have become a challenging problem with the increasing penetration of renewable and other inverter-based resources (IBRs), especially when the forced oscillation frequency coincides with the dominant natural oscillation frequency. A severe forced oscillation event can deteriorate power system dynamic stability, damage equipment, and limit power transfer capability. This paper proposes a two-dimension scanning forced oscillation grid vulnerability analysis method to identify areas/zones in the system that are critical to forced oscillation. These critical areas/zones can be further considered as effective actuator locations for the deployment of forced oscillation damping controllers. Additionally, active power modulation control through IBRs is also proposed to reduce the forced oscillation impact on the entire grid. The proposed methods are demonstrated through a case study on a synthetic Texas power system model. The simulation results demonstrate that the critical areas/zones of forced oscillation are related to the areas that highly participate in the natural oscillations and the proposed oscillation damping controller through IBRs can effectively reduce the forced oscillation impact in the entire system.

Suggested Citation

  • Khaled Alshuaibi & Yi Zhao & Lin Zhu & Evangelos Farantatos & Deepak Ramasubramanian & Wenpeng Yu & Yilu Liu, 2022. "Forced Oscillation Grid Vulnerability Analysis and Mitigation Using Inverter-Based Resources: Texas Grid Case Study," Energies, MDPI, vol. 15(8), pages 1-13, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:8:p:2819-:d:792491
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    References listed on IDEAS

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    1. Aiguo Tan & Xiangning Lin & Jinwen Sun & Ran Lyu & Zhengtian Li & Long Peng & Muhammad Shoaib Khalid, 2016. "A Novel DFIG Damping Control for Power System with High Wind Power Penetration," Energies, MDPI, vol. 9(7), pages 1-15, July.
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