Transactions of Nanjing University of Aeronautics & Astronautics
Harmonic and Interharmonic Frequency Estimation for Power Systems via Segmented Coprime Sampling
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Abstract:
The number of harmonics generated by power electronics in power systems is increasing， and the harmonic problem is a significant concern. In this paper， we propose an improved coprime sampling （CS） scheme for harmonic and interharmonic frequency estimation. The proposed scheme uses sparse sampling to reduce the sampling rate significantly and combines it with modern spectral estimation algorithms. Then， the segmented coprime sampling （SCS） method replaces the traditional CS， effectively reducing the sampling rate and the hardware system’s workload. In addition， the root-multiple signal classification （root-MUSIC） algorithm returns the commonly used MUSIC algorithm， which guarantees estimation accuracy and significantly reduces computational complexity. The simulation results show that the proposed scheme outperforms the traditional uniform sampling （US） method in estimation accuracy.
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This work was supported by the National Natural Science Foundation of China （Nos. 61631020， 61971217， 61971218）， the Natural Science Foundation of Jiangsu Province （No.BK20200444）， and the National Key Research and Development Project （No.2020YFB1807602）.
Clc Number:
TN911
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