摘要
工况模态分析是结构动力学工程模态辨识的前沿课题,初步探讨了这一概念应用于电力系统低频振荡特性在线辨识的可能性。论述了电力系统低频振荡和一般振动力学数学模型的相似性,利用随机子空间算法辨识低频振荡的频率、阻尼和振型。随机子空间算法无须人工激励电力系统,利用日常负荷的随机波动激励系统,通过相量测量单元(PMU)采集发电机功角摇摆轨迹数据,识别电力系统振荡特征参数。在Matlab仿真平台上,通过对一个3机电力系统的实例分析,证明所提方法对振荡频率、阻尼比和振型识别的有效性。
Operational modal analysis is an advanced technology in the field of dynamic structure mechanics, which is proposed to identify low frequency oscillation characteristics in the power systems. In this paper, stochastic subspace method is used to identify frequency, damping ratio, and mode shape of power system oscillations based on the author＇s argument that there is an identical mathematic modal between general vibration mechanics and power system oscillation. During normal random load excitation instead of artificial exciting power system, the proposed algorithm can abstract oscillation parameters with generator angle swing information obtained from PMU. A simulation of 3-mechine power systems based on MATLAB shows the validity of the proposed method.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2009年第8期34-37,共4页
Power System Protection and Control
基金
贵州大学青年科学基金项目(2007-017)
贵州省科学技术基金项目(2006-2114)
关键词
工况模态分析
随机子空间法
低频振荡
电力系统
operational modal analysis
stochastic subspace method
low frequency oscillation
power system
