Event Detection and Localization in Distribution Grids with Phasor Measurement Units

Abstract

The recent introduction of synchrophasor technology into power distribution systems has given impetus to various monitoring, diagnostic, and control applications, such as system identification and event detection, which are crucial for restoring service, preventing outages, and managing equipment health. Drawing on the existing framework for inferring topology and admittances of a power network from voltage and current phasor measurements, this paper proposes an online algorithm for event detection and localization in unbalanced three-phase distribution systems. Using a convex relaxation and a matrix partitioning technique, the proposed algorithm is capable of identifying topology changes and attributing them to specific categories of events. The performance of this algorithm is evaluated on a standard test distribution feeder with synthesized loads, and it is shown that a tripped line can be detected and localized in an accurate and timely fashion, highlighting its potential for real-world applications.

5 pages

References in corpus (1)

• Inverse Power Flow Problem

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• Event Detection in Micro-PMU Data: A Generative Adversarial Network Scoring Method
• Identification of AC Networks via Online Learning
• Optimal Positioning of PMUs for Fault Detection and Localization in Active Distribution Networks
• Unbalanced Multi-Phase Distribution Grid Topology Estimation and Bus Phase Identification
• PaToPaEM: A Data-Driven Parameter and Topology Joint Estimation Framework for Time Varying System in Distribution Grids