A Python-based Ringdown Analysis Toolbox for Electromechanical Modes Identification

This paper presents a user-friendly graphical user interface (GUI) that is embedded in a Python toolbox to identify electromechanical modes emerging after large power system disturbances. This GUI is able to read xslx or csv files that contain the information of several phasor measurement units (PMUs) or a data file with a proper read format. Besides this GUI incorporates three well-known methods that stand out to perform ringdown analysis in power systems such as Prony’s method (PM), eigensystem realization algorithm (ERA), and matrix pencil (MP). A straightforward implementation is adopted to capture dynamic parameters by processing single or multiple channels. Numerical and graphical results demonstrate the usability of the GUI, even in real system events
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