电力系统保护与控制2012，Vol.40Issue(3)：114-118,123,6.
基于数学形态学滤波技术和TLS-ESPRIT算法的低频振荡模式辨识研究
Research on identifying low frequency oscillation modes based on mathematical morphology filtering technique and TLS-ESPRIT algorithm
摘要
Abstract
Aiming at how to avoid the limitations of Prony method that is sensitive to noise and not so accurate, a new method for identifying low frequency oscillation modes is proposed. It realizes accurate identification of oscillation modes with mass of noise. The method is based on mathematical morphology to design a class of generalized multi-structuring-elements parallel complex morphology filter. The morphological filter is applied to effectively suppress the noises and retain the main characteristic components of signal. TLS-ESPRIT algorithm is then used to detect the de-noised signal and obtain the low frequency oscillation modes. The simulative results have shown that the method is feasible and effective.关键词
低频振荡/数学形态学/TLS-ESPRIT算法/振荡模式辨识Key words
low frequency oscillation/ mathematical morphology/ TLS-ESPRIT algorithm/ oscillation mode identification分类
信息技术与安全科学引用本文复制引用
董超,刘涤尘,廖清芬,党杰,张彪,孙文涛..基于数学形态学滤波技术和TLS-ESPRIT算法的低频振荡模式辨识研究[J].电力系统保护与控制,2012,40(3):114-118,123,6.基金项目
国家自然科学基金项目(51077103) （51077103）
武汉大学自主科研项目(5082009) （5082009）
