电工技术学报2012，Vol.27Issue(6)：198-204,7.
基于EMD-TEO及信号能量分析法的主导低频振荡模式识别
Identification of the Dominant Inertial Mode Based on EMD-TEO and Signal Energy Method
摘要
Abstract
A new method about dominant inertial mode identification for power systems was proposed. The method integrated empirical mode decomposition（EMD）, Teager energy operator（TEO） and signal energy method. EMD expands the applied scene of signal energy method without considering the ordering issues. The fast-response ability and robustness of TEO leads to a higher accuracy for frequency identification. Based on the second-order model signal energy method, the algorithm for dumping ratio was simplified. The method was verified in WEPRI-36 and actual grid by Q-R eigenvalue analysis and Prony algorithm. Its fitting-curve adaption to unlinear system is better than Prony algorithm, and it can be effectively used to detect the dominant inertial mode.关键词
电力系统/低频振荡/主导模式识别/经验模态分解/Teager能量算子Key words
Power system/low frequency oscillation/dominant inertial mode identification/empirical mode decomposition/Teager energy operator分类
信息技术与安全科学引用本文复制引用
王娜娜,刘涤尘,廖清芬,陈恩泽,黄涌,赵红生..基于EMD-TEO及信号能量分析法的主导低频振荡模式识别[J].电工技术学报,2012,27(6):198-204,7.基金项目
国家自然科学基金 （）
国家高技术研究发展计划（2011AA05A119）资助项目 （）
