当前位置: X-MOL 学术IEEE Trans. Power Syst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Power System Mode Metering in the Presence of Non-Gaussian Noise
IEEE Transactions on Power Systems ( IF 6.6 ) Pub Date : 2020-09-01 , DOI: 10.1109/tpwrs.2020.3002722
Tabia Ahmad , Nilanjan Senroy

This letter presents a robust generalized correlation approach for monitoring of power system oscillatory modes. Due to the non-Gaussian nature of measurement noise, and presence of impulsive outliers, the wide-sense stationarity assumption of power system measurement data is violated even under ambient conditions thus limiting the effectiveness of conventional autocorrelation based approaches in mode metering. The fundamental definition of correlation function for power system measurements is extended to a generalized correlation function in order to incorporate higher order statistics into existing modal estimation technique. Simulations on synthetic and real-life test signals have been conducted to demonstrate the robustness of the proposed method.

中文翻译:

存在非高斯噪声的电力系统模式计量

这封信提出了一种用于监测电力系统振荡模式的稳健的广义相关方法。由于测量噪声的非高斯性质和脉冲异常值的存在,即使在环境条件下也违反了电力系统测量数据的广义平稳性假设,从而限制了传统的基于自相关的方法在模式计量中的有效性。电力系统测量的相关函数的基本定义被扩展为广义相关函数,以便将高阶统计量合并到现有的模态估计技术中。已经对合成和现实生活中的测试信号进行了仿真,以证明所提出方法的鲁棒性。
更新日期:2020-09-01
down
wechat
bug