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https://doi.org/10.21256/zhaw-29772| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | Data-driven, web-based parameter identification for a reduced-order model of the Chilean power system |
| Autor/-in: | Quiroz, Juan Gonzalez, Luis Chavez, Hector Segundo Sevilla, Felix Rafael |
| et. al: | No |
| DOI: | 10.3390/en15093384 10.21256/zhaw-29772 |
| Erschienen in: | Energies |
| Band(Heft): | 15 |
| Heft: | 9 |
| Seite(n): | 3384 |
| Erscheinungsdatum: | 2022 |
| Verlag / Hrsg. Institution: | MDPI |
| ISSN: | 1996-1073 |
| Sprache: | Englisch |
| Schlagwörter: | Phasor measurement systems; Power system scada; Data analytics |
| Fachgebiet (DDC): | 621.04: Energietechnik |
| Zusammenfassung: | The current need for power-system control-room operational tools to increase real-time situational awareness has led to various proposals on data analytics algorithms to obtain operational information from SCADA and PMU power system networks. Most of the proposals are implemented in simulation, with reduced practical significance for system operators. This work proposes a web-based simple algorithm to identify the dynamic parameters of a reduced-order model of power system frequency dynamics that is implemented with industrial hardware on a PMU network in the Chilean power system. To demonstrate the applicability of the proposed tool, the algorithm is implemented in a web page with real-time monitoring of the frequency of the Chilean power system, so that utilities and academic institutions with access to PMU measurements can apply the proposed concepts regardless of the topology of the monitored system. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/29772 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | CC BY 4.0: Namensnennung 4.0 International |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Energiesysteme und Fluid-Engineering (IEFE) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2022_Quiroz-etal_Data-driven-parameter-identification-Chilean-power-system_MDPI.pdf | 4.3 MB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Quiroz, J., Gonzalez, L., Chavez, H., & Segundo Sevilla, F. R. (2022). Data-driven, web-based parameter identification for a reduced-order model of the Chilean power system. Energies, 15(9), 3384. https://doi.org/10.3390/en15093384
Quiroz, J. et al. (2022) ‘Data-driven, web-based parameter identification for a reduced-order model of the Chilean power system’, Energies, 15(9), p. 3384. Available at: https://doi.org/10.3390/en15093384.
J. Quiroz, L. Gonzalez, H. Chavez, and F. R. Segundo Sevilla, “Data-driven, web-based parameter identification for a reduced-order model of the Chilean power system,” Energies, vol. 15, no. 9, p. 3384, 2022, doi: 10.3390/en15093384.
QUIROZ, Juan, Luis GONZALEZ, Hector CHAVEZ und Felix Rafael SEGUNDO SEVILLA, 2022. Data-driven, web-based parameter identification for a reduced-order model of the Chilean power system. Energies. 2022. Bd. 15, Nr. 9, S. 3384. DOI 10.3390/en15093384
Quiroz, Juan, Luis Gonzalez, Hector Chavez, and Felix Rafael Segundo Sevilla. 2022. “Data-Driven, Web-Based Parameter Identification for a Reduced-Order Model of the Chilean Power System.” Energies 15 (9): 3384. https://doi.org/10.3390/en15093384.
Quiroz, Juan, et al. “Data-Driven, Web-Based Parameter Identification for a Reduced-Order Model of the Chilean Power System.” Energies, vol. 15, no. 9, 2022, p. 3384, https://doi.org/10.3390/en15093384.
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