Inverse Characteristic Locus Method for Power System Low-Frequency Oscillation Control and Optimal Design

Recent results indicate that the characteristic locus method provides a convenient approach for analyzing power system low-frequency stability. In this study, an enhanced version of the method, referred to as the inverse characteristic locus method, is introduced. By inverting the similarity matrix of the loop transfer function matrix of the system, a more reliable and accurate stability metric is obtained. The proposed method is applied to assess the impact of changes in wind turbine generator (WTG) dynamics and system operating conditions on stability. Simulation results demonstrate that variations in system operating conditions exert a greater influence on stability compared to changes in WTG dynamics.

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Publication Details

Journal
Processes
Published
2025-03-20
DOI
https://doi.org/10.3390/pr13030920
Primary Topic
Power System Optimization and Stability
Type
article
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article

Inverse Characteristic Locus Method for Power System Low-Frequency Oscillation Control and Optimal Design

Jiayu Bai, Baorui Chen, Xi Wang, Deqiang Gan et al.
Processes
Power System Optimization and Stability
article

Inverse Characteristic Locus Method for Power System Low-Frequency Oscillation Control and Optimal Design

Jiayu Bai, Baorui Chen, Xi Wang, Deqiang Gan, Yongcan Wang, Peng Shi, Hao Xu, Chengwei Fan, Chutong Wang
article en

Abstract

Recent results indicate that the characteristic locus method provides a convenient approach for analyzing power system low-frequency stability. In this study, an enhanced version of the method, referred to as the inverse characteristic locus method, is introduced. By inverting the similarity matrix of the loop transfer function matrix of the system, a more reliable and accurate stability metric is obtained. The proposed method is applied to assess the impact of changes in wind turbine generator (WTG) dynamics and system operating conditions on stability. Simulation results demonstrate that variations in system operating conditions exert a greater influence on stability compared to changes in WTG dynamics.

ProcessesVol. 13(3)
Zhejiang University (CN)
Openalex Percentile: Top 96%
Power System Optimization and Stability
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