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An Optimized Subspace-Based Approach to Synchrophasor Estimation

delete2021-01-01
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Z
Zachary D. Drummond *
K
Kevin Claytor
D
David R. Allee
D
David M. Hull
DOI:10.1109/TIM.2020.3017059delete
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Abstract

Abstract

En 中文
We present two improvements to the subspace-based phasor measurement unit (PMU) algorithms based on ESPRIT frequency estimation. The first is a dynamic, real-time thresholding method to determine the size of the signal subspace. This allows for accurate ESPRIT-based frequency estimates of the nominal system frequency and the frequencies of any out-of-band interference or harmonic frequencies. Since other frequencies are included in the least squares (LS) estimate, the interference from frequencies other than nominal can be excluded. This results in a near flat estimation error over changes in: 1) nominal system frequency; 2) harmonic distortion; and 3) out-of-band interference. We also reduce the computational burden of ESPRIT and demonstrate the proposed algorithm running in real time on resource-constrained platforms. The accuracy of this algorithm is evaluated using the IEEE standard for synchrophasor estimation, IEC/IEEE 60255-118-1, and compared with another state-of-the-art PMU algorithm.
Keywords:
ESPRIT
GTWLS
IEC/IEEE 60255-118-1
phasor measurement unit (PMU)
synchrophasor estimation
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Journal

IEEE Transactions on Instrumentation and Measurement cover
IEEE Transactions on Instrumentation and Measurement
IF:
5.9
Papers:
1.9W
Citations:
5.8W

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A
Arizona State University
Scholars:
2.7W
Papers: 2.5W
Citations: 4.2W
A
arizona state university-tempe
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1.5W
Papers: 1.2W
Citations: 13