Dynamic Power Systems Line Outage Detection Using Particle Filter and Partially Observed States

TL;DR

This paper introduces a novel real-time power line outage detection method that combines nodal voltage data and generator dynamic states using particle filtering, enhancing speed and robustness over existing approaches.

Contribution

It presents a unified framework integrating generator dynamics with voltage measurements for improved outage detection in power systems.

Findings

Faster outage detection compared to existing methods

More robust to unknown outage locations

Effective in simulation with IEEE 39-bus system

Abstract

Real-time transmission line outage detection is difficult because of partial phasor measurement unit (PMU) deployment and varying outage signal strength. Existing detection approaches focus on monitoring PMU-measured nodal algebraic states, i.e., voltage phase angle and magnitude. The success of such approaches, however, is largely predicated on strong outage signals and the presence of PMUs in the outage location's vicinity. To overcome these limitations, a unified framework is proposed in this work by utilizing both nodal voltage information and generator dynamic states, e.g., rotor angular position. The proposed scheme is shown to be faster and more robust to unknown outage locations through the incorporation of generator dynamics. Using the IEEE 39-bus system simulation data, the proposed scheme's properties and performances compared to existing approaches are presented. The new approach could help improve operators' real-time situational awareness by detecting outages faster and providing a breakdown of outage signals for diagnostic purposes, making future power systems more resilient.