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The swift and precise identification of the forced oscillation (FO) source is crucial to mitigating FO. To enhance the accuracy of forced oscillation source localization (FOSL). This paper proposes a novel method for FOSL in the frequency domain. Firstly, the time-frequency coefficients are obtained by decomposing the measurements during the forced oscillation with the help of the synchronous compression generalized S transform (SSGST). Then, based on the traditional dissipating energy flow (DEF) method and Parseval theorem, the FOSL method in the frequency domain is derived using SSGST, allowing the FOSL to be directly identified in the frequency domain, thereby significantly enhancing the precision and efficiency of forced oscillation source localization. Finally, the efficacy of the method is validated using simulated data from the WECC-240 bus test system and measured PMU data from ISO New England. Comparative test results demonstrate that the proposed method exhibits superior accuracy and efficiency in forced oscillation source localization compared to traditional methods.

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A Novel Forced Oscillation Source Location Approach in Frequency Domain Using Synchrosqueezing Generalized S-Transform

  • 会议论文

  • 发表日期：

    2025年

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  • Bohan Liu,
  • Tao Jiang,
  • Nan Ye,
  • Peng Zhang,
  • Changjiang Wang

摘要

The swift and precise identification of the forced oscillation (FO) source is crucial to mitigating FO. To enhance the accuracy of forced oscillation source localization (FOSL). This paper proposes a novel method for FOSL in the frequency domain. Firstly, the time-frequency coefficients are obtained by decomposing the measurements during the forced oscillation with the help of the synchronous compression generalized S transform (SSGST). Then, based on the traditional dissipating energy flow (DEF) method and Parseval theorem, the FOSL method in the frequency domain is derived using SSGST, allowing the FOSL to be directly identified in the frequency domain, thereby significantly enhancing the precision and efficiency of forced oscillation source localization. Finally, the efficacy of the method is validated using simulated data from the WECC-240 bus test system and measured PMU data from ISO New England. Comparative test results demonstrate that the proposed method exhibits superior accuracy and efficiency in forced oscillation source localization compared to traditional methods.