电力系统及其自动化学报2017，Vol.29Issue(9)：1-8,8.DOI:10.3969/j.issn.1003-8930.2017.09.001
基于高阶累积量的改进Prony低频振荡辨识方法
Improved Prony Method Based on Higher-order Cumulant for Low Frequency Oscillation Detection
摘要
Abstract
With the continuous development and improvement of wide area measurement system(WAMS),it is possi?ble to realize online detection of low frequency oscillation in power system using Prony algorithm. To overcome the poor anti-noise performance of the traditional Prony algorithm when it is used in the detection of WAMS monitoring signals , an improved Prony algorithm based on higher-order cumulant(HOC)is proposed in this paper. It is more effective in re?straining the white and colored noises generated in the acquisition and transmission process of WAMS,since HOC has better anti-noise performance. Finally,simulations on typical sinusoidal signals,New England 10-generator 39-node system and the data from an actual power grid verify the correctness and effectiveness of the proposed method.关键词
高阶累积量/高阶统计量/低频振荡/Prony算法/广域测量系统Key words
higher-order cumulant(HOC)/higher-order statistic/low frequency oscillation/Prony algorithm/wide area measurement system(WAMS)分类
信息技术与安全科学引用本文复制引用
朱先贤,赵帅,贾宏杰..基于高阶累积量的改进Prony低频振荡辨识方法[J].电力系统及其自动化学报,2017,29(9):1-8,8.基金项目
国家自然科学基金资助项目(51277128) （51277128）
国家电网公司重大科技专项资助项目(SGCC-MPLG028-2012) （SGCC-MPLG028-2012）
