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Dynamic Mode Decomposition in Various Power System Applications

Due to the complexity of modeling the actual dynamic large-scale power system, free-equation model identification techniques have been found more practical. Recently, Dynamic Mode Decomposition (DMD) has been proposed and used in fluid dynamics and brain modeling. In power systems, DMD applications just kick off. This paper reviews the DMD algorithm and implements DMD for mode identification and signal reconstruction in three power system related applications: RLC circuit dynamics, phasor measurement unit (PM) measurements of unknown system, and ac voltage waveform polluted by harmonics. The last application shows that DMD can also replace fast Fourier transformation (FFT) to identify harmonics.