2026 Kerci Frequency Voltage Dynamics

This paper utilizes the autocorrelation of frequency and voltage measurements to identify, quantify and classify local and global properties of power system dynamics. The analysis is based on measurements with various resolutions (20 ms, 1 s, and 1 min) from several nodes of the Irish All-Island Power System (AIPS). Simulations based on stochastic differential algebraic equations on an IEEE benchmark system support conclusions drawn from real-world data. Specifically, the study proposes the application of the autocorrelation of frequency (ACF) and voltage (ACV) as metrics to fill existing gaps in understanding the coupling of local and global dynamics. It is observed that voltage dynamics around the 1 s time scale exhibit common characteristics tied to global dynamics, which provides a novel insight into the interaction between frequency and voltage control mechanisms. The findings indicate that faster voltage control during regular conditions results in a quicker decay of the ACV, paralleling the behavior observed in frequency control. Future work will extend the autocorrelation metric to additional variables for a comprehensive comparison across various real-world power systems.