Detection of Transient Disturbance Signal in Power System Based on the EEMD Method of Optimal Parameter Selection
ZHAO Qiankun
CAO Lingzhi
Abstract：The paper proposes a method to detect power quality disturbances based on the EEMD method of optimal parameter selection. By analyzing the influence of the two parameters of the eemd method on the decomposition of the power quality signal,it can select the optimal parameter to extract the feature vectors. Experiment results show that the proposed algorithm can overcome fur?ther the mode mixing problem of EEMD method and reduce needless calculated amount. Combining with the fuzzy C-means algo?rithm,the proposed algorithm can quickly and accurately classify disturbance signal.
Keywords：ensemble empirical mode decompositionoptimal parameter selectionfuzzy C-means clustering
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1067-1071 )