Modal Parameter Identification of Low Frequency Oscillation in Power System Based on Ambient Data
Smart Grid|更新时间:2025-06-06
|
Modal Parameter Identification of Low Frequency Oscillation in Power System Based on Ambient Data
“In the field of safe and stable operation of power systems, experts use VMD and DFT techniques to extract low-frequency oscillation signals, effectively improving the real-time performance of electromechanical small interference stability assessment.”
Power Generation TechnologyVol. 43, Issue 1, Pages: 19-31(2022)
作者机构:
1.河北工程大学水利水电学院,河北省 邯郸市 056038
2.韩国又石大学能源工程系,韩国 镇川 365-803
作者简介:
基金信息:
Social Science Development Research Project of Hebei Province(20210201316);Science and Technology Research Project of Higher Education of Hebei Province(ZD2021021)
闫红艳,Hwang Jin Kwon,高艳丰.基于类噪声数据的电力系统低频振荡模态参数辨识[J].发电技术,2022,43(01):19-31.
YAN Hongyan,HWANG Jin Kwon,GAO Yanfeng.Modal Parameter Identification of Low Frequency Oscillation in Power System Based on Ambient Data[J].Power Generation Technology,2022,43(01):19-31.
YAN Hongyan,HWANG Jin Kwon,GAO Yanfeng.Modal Parameter Identification of Low Frequency Oscillation in Power System Based on Ambient Data[J].Power Generation Technology,2022,43(01):19-31. DOI: 10.12096/j.2096-4528.pgt.21083.
Modal Parameter Identification of Low Frequency Oscillation in Power System Based on Ambient Data