On Information Transfer Based Characterization of Power System Stability

TL;DR

This paper introduces a novel information transfer-based method to identify key generators and states responsible for small-signal stability issues in power networks, improving upon traditional participation factors.

Contribution

It develops a new framework using information transfer to analyze influence between states, overcoming limitations of participation factors in power system stability analysis.

Findings

Successfully applied to three-bus system identifying instability causes.

Extended analysis to IEEE 39 bus system demonstrating scalability.

Provides a more comprehensive influence measure than traditional participation factors.

Abstract

In this paper, we present a novel approach to identify the generators and states responsible for the small-signal stability of power networks. To this end, the newly developed notion of information transfer between the states of a dynamical system is used. In particular, using the concept of information transfer, which characterizes influence between the various states and a linear combination of states of a dynamical system, we identify the generators and states which are responsible for causing instability of the power network. While characterizing influence from state to state, information transfer can also describe influence from state to modes thereby generalizing the well-known notion of participation factor while at the same time overcoming some of the limitations of the participation factor. The developed framework is applied to study the three bus system identifying various cause of instabilities in the system. The simulation study is extended to IEEE 39 bus system.