A Control Chart Approach to Power System Line Outage Detection Under Transient Dynamics

TL;DR

This paper introduces a real-time, scalable outage detection method for power systems that leverages limited voltage phase angle data and statistical change detection, effectively capturing transient dynamics to prevent large blackouts.

Contribution

It presents a novel outage detection scheme based on AC power flow and statistical change detection that considers transient dynamics and requires limited PMU deployment.

Findings

Effective detection on IEEE 39-bus system

Scalable to large networks like 2383-bus system

Captures transient dynamics for timely outage detection

Abstract

Online transmission line outage detection over the entire network enables timely corrective action to be taken, which prevents a local event from cascading into a large scale blackout. Line outage detection aims to detect an outage as soon as possible after it happened. Traditional methods either do not consider the transient dynamics following an outage or require a full Phasor Measurement Unit (PMU) deployment. Using voltage phase angle data collected from a limited number of PMUs, we propose a real-time dynamic outage detection scheme based on alternating current (AC) power flow model and statistical change detection theory. The proposed method can capture system dynamics since it retains the time-variant and nonlinear nature of the power system. The method is computationally efficient and scales to large and realistic networks. Extensive simulation studies on IEEE 39-bus and 2383-bus systems demonstrated the effectiveness of the proposed method.