Multichannel continuous wavelet transform approach to estimate electromechanical oscillation modes, mode shapes and coherent groups from synchrophasors in bulk power grids

Stochastic subspace identification based data‐driven approach for monitoring electromechanical dynamics from phasor measurement units

“…The detailed relation between the direction cosine and coherent generators has been discussed in [37, 38]. With the direction cosine serving as coherency indicator, the coherent groups of generators can be separated.…”

“…However, these algorithms require the priori information about the number of coherent groups or the clustering threshold, which can be challenging to obtain analytically. To address the priori information requirement of the clustering algorithms, the direction cosines among the generators, which are calculated from the raw measurement data without any preprocessing, were proposed in [36, 37, 38].…”

New signal subspace approach to estimate the inter‐area oscillatory modes in power system using TLS‐ESPRIT algorithm

“…Another time-frequency estimation approach, i.e. wavelet transform (WT), recursive continuous WT and multichannel WT (MCWT) [4][5][6], whose behaviour is the same as a band-pass filter. Change of window size in WT provides a multiresolution capability for both slow and fast frequency response.…”

Holistic data-driven framework for estimating electromechanical dynamic patterns from synchrophasor measurements in bulk power grids

“…Motivated by the model‐based electromechanical dynamic pattern estimation approach in [3 ], a data‐driven electromechanical dynamic pattern estimation method extending from the multichannel continuous wavelet transform (CWT) in [28 ] is proposed in this work to estimate dominant modes, mode shapes, participation factors and coherent groups from measurements in a holistic framework. The CWT has a demonstrated capability of mode estimation because of its ability in recognising the dynamic features of a signal in both time and frequency domains [29, 30 ].…”

“…The CWT has a demonstrated capability of mode estimation because of its ability in recognising the dynamic features of a signal in both time and frequency domains [29, 30 ]. The multichannel CWT in [28 ] can estimate the dominant modes, mode shapes and coherent groups from multichannel measurements, but its procedure of coherent group estimation, which requires to reform the multichannel synchrophasor measurements by using inversed CWT, is rather complicated and time‐consuming. Moreover, it is incapable of estimating the participation factors.…”