Distribution Event Detection and Classification Using Local-Area Voltage Measurements

paper ID: 141

Paper Information

Presented at PECI 2014

Entry on IEEE Xplore

Authors

  • Desiree Phillips - Graduate Student at University of Illinois at Urbana-Champaign

  • Thomas Overbye - Professor at University of Illinois at Urbana-Champaign

Abstract

The Frequency Monitoring Network (FNET) is a wide-area measurement system that takes high-accuracy GPS-synchronized measurements using Frequency Disturbance Recorders (FDR). These FDRs are installed at 120V outlets and measure voltage magnitude, frequency, and phase angle at a data rate of 10 samples per second. The purpose of this paper is to introduce a disturbance detection and classification scheme which only uses voltage data. This algorithm combines edge detection and statistical pattern recognition to detect and classify disturbances within the FDR data. The data being used comes from FDRs that are installed locally in the area.

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