L. Chen
Improved interpolated dynamic DFT synchrophasor estimator considering second harmonic interferences
Chen, L.; Zhao, W.; Yu, Y.Q.; Wang, Q.; Huang, S.L.
Abstract
The interpolated dynamic DFT (IpDFT) is one of the most accurate dynamic synchrophasor estimation methods. But it suffers from infiltration from the second harmonic component. In this paper, the estimation errors of the IpDFT caused by second harmonic interferences are firstly analyzed. Based on this, an improved interpolated dynamic DFT (IIpDFT) synchrophasor estimator that considers second harmonic interferences are proposed. Multiple simulation tests show that, even under large second harmonic interference conditions, the IIpDFT is much more accurate than the IpDFT.
Citation
Chen, L., Zhao, W., Yu, Y., Wang, Q., & Huang, S. (2018). Improved interpolated dynamic DFT synchrophasor estimator considering second harmonic interferences. In 2018 IEEE International Instrumentation and Measurement Technology Conference : 14-17 May 2018, Houston, Texas, USA ; proceedings (1348-1353). https://doi.org/10.1109/i2mtc.2018.8409744
Conference Name | 2018 IEEE International Instrumentation and Measurement Technology Conference |
---|---|
Conference Location | Houston, TX, USA |
Start Date | May 14, 2018 |
End Date | May 17, 2018 |
Acceptance Date | May 14, 2018 |
Online Publication Date | Jul 12, 2018 |
Publication Date | Jul 12, 2018 |
Deposit Date | Jul 18, 2018 |
Publicly Available Date | Jul 19, 2018 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 1348-1353 |
Book Title | 2018 IEEE International Instrumentation and Measurement Technology Conference : 14-17 May 2018, Houston, Texas, USA ; proceedings. |
ISBN | 9781538622230 |
DOI | https://doi.org/10.1109/i2mtc.2018.8409744 |
Publisher URL | https://ieeexplore.ieee.org/document/8409744/ |
Files
Accepted Conference Proceeding
(430 Kb)
PDF
Copyright Statement
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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