280 citations · 351 across the 3 of their papers we have counts for
5 papers
Dynamic Modeling of Cascading Failure in Power Systems
Jiajia Song, Eduardo Cotilla-Sanchez, Goodarz Ghanavati +1
The modeling of cascading failure in power systems is difficult because of the many different mechanisms involved; no single model captures all of these mechanisms. Understanding t…
Identifying Useful Statistical Indicators of Proximity to Instability in Stochastic Power Systems
Goodarz Ghanavati, Paul D. H. Hines, Taras I. Lakoba
Prior research has shown that autocorrelation and variance in voltage measurements tend to increase as power systems approach instability. This paper seeks to identify the conditio…
Investigating early warning signs of oscillatory instability in simulated phasor measurements
Goodarz Ghanavati, Paul D. H. Hines, Taras I. Lakoba
This paper shows that the variance of load bus voltage magnitude in a small power system test case increases monotonically as the system approaches a Hopf bifurcation. This propert…
Understanding early indicators of critical transitions in power systems from autocorrelation functions
Goodarz Ghanavati, Paul D. H. Hines, Taras I. Lakoba +1
Many dynamical systems, including power systems, recover from perturbations more slowly as they approach critical transitions---a phenomenon known as critical slowing down. If the…
Calculation of the Autocorrelation Function of the Stochastic Single Machine Infinite Bus System
Goodarz Ghanavati, Paul D. H. Hines, Taras Lakoba +1
Critical slowing down (CSD) is the phenomenon in which a system recovers more slowly from small perturbations. CSD, as evidenced by increasing signal variance and autocorrelation,…