Data-driven, web-based parameter identification for a reduced-order model of the Chilean power system

Quiroz, Juan; Gonzalez, Luis; Chavez, Hector; Segundo Sevilla, Felix Rafael

doi:10.3390/en15093384

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-29772

Publication type:	Article in scientific journal
Type of review:	Peer review (publication)
Title:	Data-driven, web-based parameter identification for a reduced-order model of the Chilean power system
Authors:	Quiroz, Juan Gonzalez, Luis Chavez, Hector Segundo Sevilla, Felix Rafael
et. al:	No
DOI:	10.3390/en15093384 10.21256/zhaw-29772
Published in:	Energies
Volume(Issue):	15
Issue:	9
Page(s):	3384
Issue Date:	2022
Publisher / Ed. Institution:	MDPI
ISSN:	1996-1073
Language:	English
Subjects:	Phasor measurement systems; Power system scada; Data analytics
Subject (DDC):	621.04: Energy engineering
Abstract:	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
Fulltext version:	Published version
License (according to publishing contract):	CC BY 4.0: Attribution 4.0 International
Departement:	School of Engineering
Organisational Unit:	Institute of Energy Systems and Fluid Engineering (IEFE)
Appears in collections:	Publikationen School of Engineering

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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.