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Considering the wide frequency range, strong nonlinearity, and multimodal characteristics of "double high" power systems, an adaptive identification method for broadband oscillation modes was proposed. Firstly, an adaptive threshold filtering technique was applied to the spectrum of the Blackman-Harris windowed signal to extract the dominant components. Then the three-spectrum line interpolation FFT and the ZoomFFT were used to adaptively analyze the signals after using main-lobe interference criterion of modes with close frequencies. Finally, the proposed method was tested by using 20-mode example signals and a measurement signal of a power system model. The results demonstrate that the method can accurately identify the parameters of complex broadband oscillation modes, adapt to various oscillation scenarios, and meet the signal characteristics of "double high" power systems, thus confirming its applicability and feasibility.

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针对“双高”电力系统宽频振荡宽频域、强非线性、多模态特征，提出一种基于加窗插值FFT（WIFFT）及复调制细化频谱FFT（ZoomFFT）的宽频振荡模态自适应识别方法。首先对加Blackman-Harris窗信号频谱进行自适应阈值滤波，筛选信号的主导模态，然后基于临近模态主瓣干扰的判定分别利用三谱线插值FFT及ZoomFFT进行自适应分析，最后利用20模态算例信号及仿真系统量测信号对本文方法进行测试。结果表明，本文方法能够精确识别复杂宽频振荡信号各模态参数，能灵活适应多种振荡场景，满足“双高”电力系统中信号特征需要，具备适用性与可行性。

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李永琦（1998-），男，硕士研究生，研究方向为电网宽频信号处理，E-mail：liyq1217@126.com

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李永琦（1998-），男，硕士研究生，研究方向为电网宽频信号处理，E-mail：liyq1217@126.com

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