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https://doi.org/10.21256/zhaw-19543| Publication type: | Conference paper |
| Type of review: | Peer review (abstract) |
| Title: | Detection of frequency deviations for monitoring of power systems |
| Authors: | Segundo Sevilla, Felix Rafael Dobrowolski, Jean Obusevs, Artjoms Korba, Petr |
| et. al: | No |
| DOI: | 10.1109/ANZCC47194.2019.8945666 10.21256/zhaw-19543 |
| Proceedings: | 2019 Australian & New Zealand Control Conference (ANZCC) |
| Page(s): | 54 |
| Pages to: | 56 |
| Conference details: | 2019 Australian & New Zealand Control Conference (ANZCC), Auckland, New Zealand, 27-29 November 2019 |
| Issue Date: | 2019 |
| Publisher / Ed. Institution: | IEEE |
| ISBN: | 978-1-7281-1786-7 |
| Language: | English |
| Subjects: | Phasor measurement unit; Frequency problem; Stability; System unbalance; Monitoring |
| Subject (DDC): | 621.3: Electrical, communications, control engineering |
| Abstract: | In this work an algorithm for identification of power system frequency deviation is presented. The proposed approach can be used to monitor frequency measurements from syncrophasor measurement units (PMU) and to store data only for important events and save storage in the local server. The detection algorithm use a sliding window that rise a flag if the measured frequency deviates from a predefined set point. If the alarm flag is constant over several sliding windows, an event is captured and locally stored for further analysis. To demonstrate the effectiveness of the proposed approach, real PMU measurements from the Swiss power system are used as input. |
| Further description: | © 2019 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/19543 |
| Fulltext version: | Accepted version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Energy Systems and Fluid Engineering (IEFE) |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2019_Segundo-Sevilla-etal_Frequency-deviations.pdf | Accepted Version | 608.13 kB | Adobe PDF |  View/Open |
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Segundo Sevilla, F. R., Dobrowolski, J., Obusevs, A., & Korba, P. (2019). Detection of frequency deviations for monitoring of power systems [Conference paper]. 2019 Australian & New Zealand Control Conference (ANZCC), 54–56. https://doi.org/10.1109/ANZCC47194.2019.8945666
Segundo Sevilla, F.R. et al. (2019) ‘Detection of frequency deviations for monitoring of power systems’, in 2019 Australian & New Zealand Control Conference (ANZCC). IEEE, pp. 54–56. Available at: https://doi.org/10.1109/ANZCC47194.2019.8945666.
F. R. Segundo Sevilla, J. Dobrowolski, A. Obusevs, and P. Korba, “Detection of frequency deviations for monitoring of power systems,” in 2019 Australian & New Zealand Control Conference (ANZCC), 2019, pp. 54–56. doi: 10.1109/ANZCC47194.2019.8945666.
SEGUNDO SEVILLA, Felix Rafael, Jean DOBROWOLSKI, Artjoms OBUSEVS und Petr KORBA, 2019. Detection of frequency deviations for monitoring of power systems. In: 2019 Australian & New Zealand Control Conference (ANZCC). Conference paper. IEEE. 2019. S. 54–56. ISBN 978-1-7281-1786-7
Segundo Sevilla, Felix Rafael, Jean Dobrowolski, Artjoms Obusevs, and Petr Korba. 2019. “Detection of Frequency Deviations for Monitoring of Power Systems.” Conference paper. In 2019 Australian & New Zealand Control Conference (ANZCC), 54–56. IEEE. https://doi.org/10.1109/ANZCC47194.2019.8945666.
Segundo Sevilla, Felix Rafael, et al. “Detection of Frequency Deviations for Monitoring of Power Systems.” 2019 Australian & New Zealand Control Conference (ANZCC), IEEE, 2019, pp. 54–56, https://doi.org/10.1109/ANZCC47194.2019.8945666.
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