Thus, the proposed the coherency identification method based on hierarchical clustering algorithm is applied to identify the coherent groups for the swing curves measured by WAMS.
Thus, the proposed coherency identification method based on the hierarchical clustering algorithm is applied to identify the coherent groups for the swing curves measured by WAMS.
Based on the above survey, it can be seen that the current research publications on power system islanding schemes mainly focus on the islanding methods or algorithm based on the given power system topology and the coherency identification methods or algorithms based on the measured generator speeds or bus angles.
Although the existing and the proposed AV coherency-based methods provide improvements in speech source separation, but these methods totally neglect the useful constraint of independence of the sources.
Also, it seems promising to consider more essential combinations of ICA- and AV coherency-based methods to jointly gain benefits of both informed and blind methods.
The steps of hierarchical clustering method for coherency identification are presented as follows.
Furthermore, such an experiment provides insights in virtual potentials of coherency-based AVSS methods.
The second type adopts the method of slow coherency with weak connections [6, 7, 8] to achieve the CISG in power system.
By enhancing the coherency of stacked waveforms, the method might be appropriate for analyzing waveform data contaminated by coda waves of the mainshock as the present case, in which it is difficult to identify the onset of body waves.
The best known one is the so-called coherency cube, while recently developed methods are semblance-type procedures, eigen structure or variance-based coherence, and coherence based on the calculation of least squares (Eichkitz et al. 2012).
