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

Khaled Alshuaibi, Yi Zhao, Lin Zhu, Evangelos Farantatos, Deepak Ramasubramanian, Wenpeng Yu and Yilu Liu
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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

Energies, 2022, vol. 15, issue 8, 1-13

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.

Keywords: forced oscillation; inverter-based resources (IBRs); grid vulnerability analysis; active power modulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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