Big Data Analytics on a Smart Grid
Mining PMU Data for Event and Anomaly Detection
S. Wallace; X. Zhao; D. Nguyen; K.-T. Lu
Abstract
Phasor measurement units (PMUs) provide great potential for monitoring an electrical grid by recording synchronized measurements across a wide area. However, with more and more PMUs being deployed, the traditional workflow of processing these data is facing a major challenge. In this chapter, we present our experience in analyzing and mining PMU data for event classification and anomaly detection. Experiments have been carried out using real PMU data that are collected from the Bonneville Power Administration’s power grid. Experimental results show that our methods are effective in identifying both ...
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