| 引用本文: | 胡昊明,郑伟,徐伟,等.Prony和HHT算法在低频振荡在线辨识中的适用性比较[J].电力系统保护与控制,2013,41(14):33-40.[点击复制] |
| HU Hao-ming,ZHENG Wei,XU Wei,et al.Comparison of the applicability of Prony and HHT algorithms for on-line identification of low-frequency oscillation[J].Power System Protection and Control,2013,41(14):33-40[点击复制] |
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| 摘要: |
| Prony算法和Hilbert-Huang变换（HHT）算法是目前实际应用于低频振荡信号辨识的两种算法。Prony算法对于无噪声干扰的平稳信号的分辨率和准确性较高。HHT算法具有时频分析和滤除高频分量的能力，抗噪声性能好，计算速度快，并可以分析主导模式随时间改变的非平稳信号。从准确性、稳定性、完备性、快速性四个方面比较了两种算法在低频振荡在线辨识中的适用性，指出增加前置滤波环节的Prony算法可以满足低频振荡在线监测的要求，而实现强迫振荡扰动源定位则必须采用可进行时频分析的HHT算法。通过实际算例验证了两 |
| 关键词: 低频振荡 强迫振荡 在线辨识 Prony HHT |
| DOI：10.7667/j.issn.1674-3415.2013.14.006 |
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| 基金项目:国家电网公司资助项目“大电网规划与运行控制技术深化研究重大专项（SGCC-MPLG001-003-2012）”及“人工紧急调度与安全自动控制协同决策技术研究” |
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| Comparison of the applicability of Prony and HHT algorithms for on-line identification of low-frequency oscillation |
| HU Hao-ming1,2,ZHENG Wei1,XU Wei1,BAO Yan-hong1,LIU Shao-feng1,DUAN Hui1 |
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| Abstract: |
| Prony and Hilbert-Huang Transform (HHT) are two signal processing techniques utilized for on-line low-frequency oscillation detection. Prony algorithm is appropriate for processing stationary signals without noise. HHT algorithm has the ability of filtering high-frequency noise and processing non-stationary signals. The performance of Prony and HHT algorithms is compared from following aspects: accuracy, stability, completeness and speediness. Prony algorithm which includes the pre-filtering can meet the requirements of low-frequency oscillation monitoring, while HHT can be used for identification of disturbance source. The applicability of the two algorithms is validated with real power system data. |
| Key words: low-frequency oscillation forced oscillation on-line identification Prony HHT |
