IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i9p3384-d809455.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Juan Quiroz & Luis Gonzalez & Hector Chavez & Felix Segundo, 2022. "Data-Driven, Web-Based Parameter Identification for a Reduced-Order Model of the Chilean Power System," Energies, MDPI, vol. 15(9), pages 1-15, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3384-:d:809455
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/9/3384/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/9/3384/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3384-:d:809455. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.