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• W3034129551 endingPage "106182" @default.
• W3034129551 startingPage "106182" @default.
• W3034129551 abstract "As the number of operational Phasor Measurement Units (PMUs) is increasing, compression is becoming crucial for efficiently transferring and storing enormous amount of synchrophasor data continuously measured from a power system. Some utilities in the U.S. have already adopted a nonlinear compression technique, called Swinging Door Algorithm (SDA), assuming compressed data meets technical and regulatory requirements without resulting in any degradation of the measurements. This paper studies impacts of this compression algorithm on field measured and simulated PMU data, and presents results from spectral analyses of raw and decompressed measurements. The results show blind application of the SDA compression alters frequency content in the measurements and introduces false harmonics and aliasing. These can lead to false conclusions being drawn from the measurements about the power system condition." @default.
• W3034129551 created "2020-06-12" @default.
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• W3034129551 date "2020-12-01" @default.
• W3034129551 modified "2023-10-15" @default.
• W3034129551 title "Impacts of swinging door lossy compression of synchrophasor data" @default.
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• W3034129551 doi "https://doi.org/10.1016/j.ijepes.2020.106182" @default.
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