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Publication

Real-Time Signal-to-Noise Ratio Estimation by Universal Grid Analyzer...

by Apsana Bhandari, He Yin, Yilu Liu, Wenxuan Yao, Lingwei Zhan
Publication Type
Conference Paper
Journal Name
2019 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)
Book Title
2019 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)
Publication Date
Page Numbers
1 to 6
Issue
99
Conference Name
2019 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA 2019)
Conference Location
College Station, Texas, United States of America
Conference Sponsor
IEEE
Conference Date
-

This paper presents a real-time Signal-to-Noise Ratio (SNR) estimation performed by the distribution level phasor measurement unit, Universal Grid Analyzer (UGA). The hardware and software architectures of the UGA are discussed followed by the introduction of SNR estimation algorithm. To verify the effectiveness of both SNR estimation algorithm and its implementation, a real world test bench is set up in the laboratory. The experimental results validate the implementation of the existing SNR algorithm which has maximum of 5 dB error in real-time measurement.