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This paper presents a new hierarchical identification method for transient power quality disturbance based on fuzzy C-mean clustering (FCM) algorithm. The method consists of five function modules. By use of the ensemble empirical mode decomposition (EEMD) and singular value decomposition method, we can extract effective feature vectors layer by layer, which are used as the input of FCM. In this way...
Power quality is one of the mostly concerned issues in modern power industry. Rapid and accurate detection of the begin-end moment of power quality disturbance signal is crucial to improve the power quality. As one of the high resolution transform algorithm, S-transform can extract the time-frequency information of disturbance signal, but the algorithm is computationally less efficient. The discrete...
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