Automated Anomaly Detection in Distribution Grids Using μPMU Measurements

2016/09/30 by Jamei, Mahdi, Scaglione, Anna, Roberts, Ciaran +4
#Data Analysis #FOS: Electrical engineering #FOS: Physical sciences #Statistics and Probability (physics.data-an) #Systems and Control (eess.SY) #electronic engineering #information engineering

paper · doi:10.48550/arxiv.1610.01107

Abstract

The impact of Phasor Measurement Units (PMUs) for providing situational awareness to transmission system operators has been widely documented. Micro-PMUs (μPMUs) are an emerging sensing technology that can provide similar benefits to Distribution System Operators (DSOs), enabling a level of visibility into the distribution grid that was previously unattainable. In order to support the deployment of these high resolution sensors, the automation of data analysis and prioritizing communication to the DSO becomes crucial. In this paper, we explore the use of μPMUs to detect anomalies on the distribution grid. Our methodology is motivated by growing concern about failures and attacks to distribution automation equipment. The effectiveness of our approach is demonstrated through both real and simulated data.

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