A Twin Circuit Theory-Based Framework for Oscillation Event Analysis in Inverter-Dominated Power Systems With Case Study for Kaua‘i System

This paper proposes a real-world oscillation event analysis framework for power systems that include inverter-based resources together with synchronous generators. Specifically, the proposed framework combines both measurement-and model-based techniques to readily identify potential oscillation sources, replay the oscillation event with numerical simulation, unveil the underlying oscillation mechanism, and suggest mitigation methods for a wide range of oscillation events. To strengthen the theoretical foundation of our analysis framework, this paper proposes a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">twin circuit theory</i> that provides theoretical support for one key utilized but not well-proven measurement-based oscillation source identification method—Dissipating Energy Flow. Our <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">twin circuit theory</i> also shows that adopting well-tuned grid-forming inverters can be a potential mitigation method for oscillation events. Finally, the effectiveness of our proposed oscillation event analysis framework is demonstrated by addressing a real-world 18-20 Hz oscillation event in Kaua‘i’s power system on November 21, 2021.

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Publication Details

Journal
IEEE Transactions on Circuits and Systems I Regular Papers
Published
2025-01-09
DOI
https://doi.org/10.1109/tcsi.2024.3524251
Citations
4
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
2.92
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article

A Twin Circuit Theory-Based Framework for Oscillation Event Analysis in Inverter-Dominated Power Systems With Case Study for Kaua‘i System

Bin Wang, Andy Hoke, Lizhi Ding, Brad W. Rockwell et al.
4 citations
IEEE Transactions on Circuits and Systems I Regular Papers
Power System Optimization and Stability
2.92
article

A Twin Circuit Theory-Based Framework for Oscillation Event Analysis in Inverter-Dominated Power Systems With Case Study for Kaua‘i System

Bin Wang, Andy Hoke, Lizhi Ding, Brad W. Rockwell, Cameron J. Kruse, Jin Tan, Xiaonan Lu, Shuan Dong
article en
4 citations

Abstract

This paper proposes a real-world oscillation event analysis framework for power systems that include inverter-based resources together with synchronous generators. Specifically, the proposed framework combines both measurement-and model-based techniques to readily identify potential oscillation sources, replay the oscillation event with numerical simulation, unveil the underlying oscillation mechanism, and suggest mitigation methods for a wide range of oscillation events. To strengthen the theoretical foundation of our analysis framework, this paper proposes a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">twin circuit theory</i> that provides theoretical support for one key utilized but not well-proven measurement-based oscillation source identification method—Dissipating Energy Flow. Our <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">twin circuit theory</i> also shows that adopting well-tuned grid-forming inverters can be a potential mitigation method for oscillation events. Finally, the effectiveness of our proposed oscillation event analysis framework is demonstrated by addressing a real-world 18-20 Hz oscillation event in Kaua‘i’s power system on November 21, 2021.

IEEE Transactions on Circuits and Systems I Regular PapersVol. 72(9)
National Laboratory of the Rockies (US), Purdue University West Lafayette (US)
Affordable and clean energy
Openalex Percentile: Top 10%
Power System Optimization and Stability
2.92
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A Twin Circuit Theory-Based Framework for Oscillation Event Analysis in Inverter-Dominated Power Systems With Case Study for Kaua‘i System — Bin Wang, Andy Hoke, et al. · IEEE Transactions on Circuits and Systems I Regular Papers (2025) | TGRS Research Map | TGRS