Distribution Event Detection and Classification Using Local-Area Voltage Measurements
paper ID: 141
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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