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Enhanced Interpolated Dynamic DFT Synchrophasor Estimator Considering Second Harmonic Interferences

Chen, L.; Zhao, W.; Wang, F.P.; Wang, Q.; Huang, S.L.

Enhanced Interpolated Dynamic DFT Synchrophasor Estimator Considering Second Harmonic Interferences Thumbnail


Authors

L. Chen

W. Zhao

S.L. Huang



Abstract

In the future, phasor measurement units are expected to be applied in distribution networks (DNs) for their control and monitoring. Because of the widely used power electronic devices in DNs, harmonics are widely present in a voltage/current signal. Particularly, second harmonics have the most significant uncertainty contributions to synchrophasor estimation, which is especially true when a short cycle observation window is used for a fast response. Based on the interpolated dynamic discrete Fourier transform (IpD 2 FT), this paper introduces an enhanced IpD 2 FT (e-IpD 2 FT) synchrophasor estimator that considers second harmonic interferences. First, the adaptive equivalent filters of the IpD 2 FT are given. Based on these, the optimal frequencies where the IpD 2 FT has the least second harmonic interferences are then searched using an enumeration method, and the e-IpD 2 FT synchrophasor estimator is accordingly proposed. Instantaneous frequency responses and several simulation tests show that the e-IpD 2 FT performs much better than the IpD 2 FT in second harmonic suppression, and can meet the P-class response time requirements and most of the M-class accuracy requirements of the IEEE standard C37.118.1 only over a three-cycle window.

Citation

Chen, L., Zhao, W., Wang, F., Wang, Q., & Huang, S. (2018). Enhanced Interpolated Dynamic DFT Synchrophasor Estimator Considering Second Harmonic Interferences. Sensors, 18(9), Article 2748. https://doi.org/10.3390/s18092748

Journal Article Type Article
Acceptance Date Aug 18, 2018
Online Publication Date Aug 21, 2018
Publication Date Aug 21, 2018
Deposit Date Aug 22, 2018
Publicly Available Date Aug 22, 2018
Journal Sensors
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 18
Issue 9
Article Number 2748
DOI https://doi.org/10.3390/s18092748

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Published Journal Article (1.1 Mb)
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).





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