Line Outage Identification Based on AC Power Flow and Synchronized Measurements

TL;DR

This paper introduces a novel method for single line outage detection in power systems using PMU data and AC power flow models, incorporating a rejection filter to improve accuracy and reduce misidentifications.

Contribution

The paper presents a new outage identification algorithm combined with a rejection filter, enhancing detection accuracy and reliability in power system monitoring.

Findings

High identification accuracy demonstrated across various test systems.

Rejection filter effectively reduces misidentification rate.

Method performs well with different PMU placements.

Abstract

This paper proposes a method of identifying single line outages in power systems based on phasor measurement unit (PMU) measurements and ac power flow models. In addition to the main identification algorithm, a rejection filter is introduced so that the preliminary identified results can be further processed and categorized into three types: correctly identified, misidentified and inconclusive (including correct-filtered and misidentified-filtered). The methods are systematically tested using test systems of various sizes for various PMU placements, and the results show that the proposed identification algorithm has a high identification accuracy and the proposed rejection filter is able to reduce the misidentified rate without significantly increasing the number of inconclusive cases.