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Wide-area dynamic studies are of paramount importance to ensure the stabilityand reliability of power grids. The rising deployment synchrophasor and othersensing technologies has made data-driven modeling and analysis possible usingthe synchronized fast-rate dynamic measurements. This paper presents a generalmodel-free framework of inferring the grid dynamic responses using theubiquitous ambient data collected during normal grid operations. Building uponthe second-order dynamic model, we have established the connection from thecross-correlation of various types of angle, frequency, and line flow data atany two locations, to their corresponding dynamic responses. The theoreticalresults enabled a fully data-driven framework for estimating the latter usingreal-time ambient data. Numerical results using the WSCC 9-bus system and asynthetic 2000-bus Texas system have demonstrated the effectiveness of proposedapproaches for dynamic modeling of realistic power systems.

A Dynamic Response Recovery Framework Using Ambient Synchrophasor Data