Date(s) - 14 Oct 2020
1:00 PM - 2:00 PM
This event will be held virtually.
Speaker: Pranav Sharma, ECpE Graduate Student
Adviser: Venkataramana Ajjarapu
Title: Information Transfer Based Stability Characterization for Power Systems
Abstract: The electric grid is one of the largest and most complex network systems, with thousands of components having complicated dynamics and topology. As such, control and maintaining the reliable operation of a power network are challenging and difficult. One of the main challenges is the maintenance of the stability of power networks. For a large system, it is usually challenging to identify the sources of instability. Hence, a knowledge of the origins of instability would allow one to take precautionary measures before a power network becomes unstable. This research aims to address the challenges associated with identifying influential dynamical components, quantify interactions of dynamic states, and identify precursors to system instability. We have developed a notion of information transfer theory and entropy flow to characterize dynamical systems’ behavior. The developed information transfer theoretical framework provides (a) quantification of the interaction of dynamic states, (b) precursors for approaching instabilities in the electric grid, (c) characterization for macro-level behavior of the grid from the interaction of state clusters, and (d) identification of influential dynamic components and states for a given power system.
Bio: Pranav Sharma received his B.Tech. degree in Electrical Engineering from the Indian Institute of Technology – Roorkee, India. He is currently a Ph.D. student in the Department of Electrical and Computer Engineering at Iowa State University, Ames, IA, USA. His research interest includes data-driven methods for nonlinear system dynamic analysis, power system stability, PMU measurement-based data analytics, and causality mapping in power system dynamics.