首页> 外文会议>IEEE Innovative Smart Grid Technologies - Asia >Estimation of modal parameters of low frequency oscillations in power system using Hankels total least square method
【24h】

Estimation of modal parameters of low frequency oscillations in power system using Hankels total least square method

机译:使用Hankels总至少方形方法估计电力系统低频振荡模态参数

获取原文

摘要

This paper proposes a Hankels total least square (HTLS) based method for determining the modal parameters of the low frequency oscillations present in the power system. HTLS being a parametric method requires an estimate of the model order of the signal for its successful performance. In the proposed method, the model order estimate is obtained based on the number of peaks present in the FFT plot of the signal. The performance of the proposed method is compared with that of a Fourier based method and Modified Prony based method at different levels of signal to noise ratios and PMU reporting rates using real as well as synthetic signals. It is observed that, in comparison to the above mentioned methods, the proposed method is least affected by the noise contamination and low PMU reporting rates making it a better choice for modal estimation of low frequency oscillations.
机译:本文提出了一种基于Hankels总基的总规范(HTLS)方法,用于确定电力系统中存在的低频振荡的模态参数。作为参数方法的HTLS需要估计信号的模型顺序,以实现其成功的性能。在所提出的方法中,基于信号中存在的FFT图中存在的峰值数来获得模型顺序估计。将所提出的方法的性能与使用Real以及合成信号的噪声比和PMU报告速率的不同级别的基于方法和基于掌的基于验证方法的性能。观察到,与上述方法相比,所提出的方法受噪声污染和低PMU报告率的影响,使其更好地选择低频振荡的模态估计。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号