电力系统保护与控制Issue(14)：33-40,8.
Prony和HHT算法在低频振荡在线辨识中的适用性比较
Comparison of the applicability of Prony and HHT algorithms for on-line identification of low-frequency oscillation
摘要
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.关键词
低频振荡/强迫振荡/在线辨识/Prony/HHTKey words
low-frequency oscillation/forced oscillation/on-line identification/Prony/HHT分类
信息技术与安全科学引用本文复制引用
胡昊明,郑伟,徐伟,鲍颜红,刘韶峰,段慧..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,(14):33-40,8.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” （）
