Lei Chen
Accurate and fast synchrophasor estimator for distribution networks
Chen, Lei; Zhao, Wei; Wang, Fuping; Wang, Qing; Huang, Songling
Authors
Wei Zhao
Dr Qing Wang qing.wang@durham.ac.uk
Associate Professor
Dr Qing Wang qing.wang@durham.ac.uk
Associate Professor
Songling Huang
Abstract
In this paper, we propose a synchrophasor estimator which can meet the M and P class requirements of the IEEE standard C37.118.1 simultaneously. Meanwhile, the phase error of the estimator is always smaller than 0.05 degrees, which makes it applicable in distribution networks. The errors of the interpolated dynamic discrete Fourier transform (IpD2FT) due to interharmonic interferences are investigated. Then the optimal frequencies where the IpD2FT has the smallest interharmonic interference are obtained. To achieve higher accuracy, the Taylor–Fourier multifrequency (TFM) model-based method is used to estimate and then eliminate the interharmonic component further. Concerning response time requirements, robust thresholds for transient detection are obtained based on numerous simulations, and the Kaiser-based IpD2FT is used to meet the corresponding limits. Canonical tests stated in the IEEE standard C37.118.1 and specific tests which could occur in distribution networks are both carried out to verify the performance of the proposed method.
Citation
Chen, L., Zhao, W., Wang, F., Wang, Q., & Huang, S. (2019). Accurate and fast synchrophasor estimator for distribution networks. Measurement Science and Technology, 30(12), https://doi.org/10.1088/1361-6501/ab367e
| Journal Article Type | Article |
|---|---|
| Acceptance Date | Jul 29, 2019 |
| Online Publication Date | Sep 17, 2019 |
| Publication Date | Dec 1, 2019 |
| Deposit Date | Oct 24, 2019 |
| Publicly Available Date | Sep 17, 2020 |
| Journal | Measurement Science and Technology |
| Print ISSN | 0957-0233 |
| Electronic ISSN | 1361-6501 |
| Publisher | IOP Publishing |
| Peer Reviewed | Peer Reviewed |
| Volume | 30 |
| Issue | 12 |
| DOI | https://doi.org/10.1088/1361-6501/ab367e |
Files
Accepted Journal Article
(398 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
You might also like
Air-Gapped Current Transformer simulation and accuracy assessment
(2022)
Conference Proceeding
Structure health monitoring of concrete structures using magnetic flux leakage
(2022)
Conference Proceeding
A comparison of air pollution in developed and developing cities: A case study of London and Beijing
(2022)
Conference Proceeding
Using machine learning for the classification of the remaining useful cycles in Lithium-ion batteries
(2021)
Conference Proceeding
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search