摘要
在广域测量系统(WAMS)下,从多角度改进Prony算法对电力系统低频振荡的监测。提出对采集信号进行分类,利用同类、非同类等多信号分析法对低频振荡进行分析;通过数据预处理和算法样本矩阵阶数控制减少噪声对算法精度的影响;提出模式能量测度分析结果中的主导振荡模式。在EPRI-36系统下进行仿真,结果表明所提方法的有效性。
The monitoring of low-frequency oscillations in power system based on Prony algorithm is improved from multiple aspects in the wide area measurement system（WAMS）.The sampled signals are chassified and the low-frequency oscillations are analyzed using similar and non-similar signals.Data preprocessing and the order control of the sample matrix in algorithm are considered to reduce the effect of noises on the accuracy of algorithm.The technique of mode energy is proposed to identify the dominant oscillation modes.The proposed methods are applied to EPRI-36 system,and the validity is demonstrated.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2011年第12期140-145,共6页
Power System Protection and Control
