Abstract
With the increasing usage of power electronic devices that contribute to harmonic distortion in power systems, analysis of harmonic components has become important for maintaining power quality. Moreover, time-synchronized point-on-wave measurements are of growing interest for analyzing dynamic phenomena in power systems, where synchrophasors that report a magnitude and angle of the estimated fundamental component of a signal are insufficient. This paper proposes a new method for estimating harmonic content by applying quadrature demodulation iteratively to estimate a synchrophasor for each harmonic component of a power system signal. We first apply the method to simulated signals to verify its accuracy, then we demonstrate its effectiveness at reconstructing a signal from data measured from real power distribution systems.
Original language | English |
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Title of host publication | Proceedings of the International Conference on Smart Grid Synchronized Measurements and Analytics, SGSMA 2022 |
Editors | Lars Nordström, Ninoslav Holjevac, Igor Kuzle, Igor Ivanković, Mladen Kezunović, Mario Paulone, Hamed Mohsenian-Rad, Carlo Muscas, Tomislav Bašakarad |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 6 |
ISBN (Electronic) | 9781665498234 |
ISBN (Print) | 9781665498241 |
DOIs | |
Publication status | Published - 29 Jun 2022 |
Event | International Conference on Smart Grid Synchronized Measurements and Analytics - Split, Croatia Duration: 24 May 2022 → 26 May 2022 https://doi.org/10.1109/SGSMA51733.2022 |
Publication series
Name | International Conference on Smart Grid Synchronized Measurements and Analytics: Proceedings |
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Conference
Conference | International Conference on Smart Grid Synchronized Measurements and Analytics |
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Abbreviated title | SGSMA |
Country/Territory | Croatia |
City | Split |
Period | 24/05/2022 → 26/05/2022 |
Internet address |
Keywords
- harmonics
- phasors
- power distribution systems
- quadrature demodulation
- synchrophasors
ASJC Scopus subject areas
- Artificial Intelligence
- Energy Engineering and Power Technology
- Control and Optimization
- Instrumentation