Data-Driven, Web-Based Parameter Identification for a Reduced-Order Model of the Chilean Power System

Juan Quiroz, Luis Gonzalez, Hector Chavez and Felix Segundo
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Juan Quiroz: Departamento de Ingenieria Electrica, Universidad de Santiago de Chile, Estación Central, Santiago 9160000, Chile
Luis Gonzalez: Departamento de Ingenieria Electrica, Universidad de Santiago de Chile, Estación Central, Santiago 9160000, Chile
Hector Chavez: Departamento de Ingenieria Electrica, Universidad de Santiago de Chile, Estación Central, Santiago 9160000, Chile
Felix Segundo: Electric Power System and Smart Grid Lab, Zurich University of Applied Sciences, 8004 Winterthur, Switzerland

Energies, 2022, vol. 15, issue 9, 1-15

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.

Keywords: phasor measurement systems; power system scada; data analytics (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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