基于频域匹配滤波的宽频振荡检测算法

邵冲; 汪芙平; 李春华; 吴兆彬; 关新宇; 雷艾虎; 郭庭哲

邵冲,汪芙平,李春华,吴兆彬,关新宇,雷艾虎,郭庭哲.基于频域匹配滤波的宽频振荡检测算法[J].电测与仪表,2026,63(7):168-177.
SHAO Chong,WANG Fuping,LI Chunhua,WU Zhaobin,GUAN Xinyu,LEI Aihu,GUO Tingze.Wide-band oscillation detection algorithm based on frequency domain matched filtering[J].Electrical Measurement & Instrumentation,2026,63(7):168-177.

基于频域匹配滤波的宽频振荡检测算法

Wide-band oscillation detection algorithm based on frequency domain matched filtering

DOI：10.19753/ j.issn1001-1390.2026.07.016

中文关键词: 信号检测宽频测量匹配滤波加窗 DFT

英文关键词:signal detection, wideband measurement, matched filtering, windowed DFT

基金项目:国家电网有限公司科技项目（522703230003）

作者中文名	作者英文名	单位
邵冲	SHAO Chong	国网甘肃省电力公司, 兰州 730030
汪芙平	WANG Fuping	清华大学电机工程与应用电子技术系, 北京 100084
李春华	LI Chunhua	国网甘肃省电力公司白银供电公司, 甘肃白银 730090
吴兆彬	WU Zhaobin	国网甘肃省电力公司白银供电公司, 甘肃白银 730090
关新宇	GUAN Xinyu	国网甘肃省电力公司白银供电公司, 甘肃白银 730090
雷艾虎	LEI Aihu	国网甘肃省电力公司白银供电公司, 甘肃白银 730090
郭庭哲	GUO Tingze	国网甘肃省电力公司白银供电公司, 甘肃白银 730090

摘要点击次数: 195

中文摘要:

新型电力系统中新能源并网和电力电子设备之间相互作用, 易引发宽频振荡, 对电网安全造成严重威胁。文中研究了宽频测量中振荡信号的可靠检测方法, 针对加窗离散傅里叶变换(discrete Fourier transform, DFT)谱峰搜索方法存在较严重虚警和漏检问题,提出采用由窗函数频谱构造的滤波器对加窗DFT序列进行滤波后再进行谱峰检测, 即基于频域匹配滤波的改进检测算法。理论分析表明, 频域匹配滤波不仅有助于增强检测判决量的信噪比,而且将显著改善窗函数频谱特性。针对典型的哈明窗和汉宁窗的加窗DFT进行测试, 静态、动态和噪声环境下仿真实验结果显示, 匹配滤波不仅成功消除虚警, 实现可靠检测, 而且能显著提高信号检测频率估计的准确度, 具有重要的工程应用价值。

英文摘要:

The interaction between new energy grid-connection and power electronic equipment in novel power system is easy to cause wideband oscillation, which poses a serious threat to the security of power grid. In this paper, the reliable detection method of oscillating signal in wideband measurement is studied. Aiming at the serious false alarm and missing detection problems in the peak search method of windowed discrete Fourier transform (DFT), it is proposed to use a filter constructed by the spectrum of the window function to filter the windowed DFT sequence and then conduct spectral peak detection, that is, an improved detection algorithm based on frequency domain matched filtering. The theoretical analysis shows that the matching filter not only enhances the signal-to-noise ratio of the detection decision, but also significantly improves the spectral characteristics of the window function. Tests are conducted on the windowed DFT of typical Hamming windows and Hann windows. Simulation results in static, dynamic and noisy environments show that the matched filter not only successfully eliminates false alarms and realizes reliable detection, but also significantly improves the accuracy of signal detection frequency estimation, which has important engineering application value.

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