IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i12p3100-d371937.html
   My bibliography  Save this article

Compensated Load Flow Solutions for Distribution System State Estimation

Author

Listed:
  • Catalina Gómez-Quiles

    (Department of Electrical Engineering, University of Seville, 41092 Seville, Spain)

  • Esther Romero-Ramos

    (Department of Electrical Engineering, University of Seville, 41092 Seville, Spain)

  • Antonio de la Villa-Jaén

    (Department of Electrical Engineering, University of Seville, 41092 Seville, Spain)

  • Antonio Gómez-Expósito

    (Department of Electrical Engineering, University of Seville, 41092 Seville, Spain)

Abstract

State estimation of distribution systems typically relies on measurement sets with very low redundancy levels. In this paper, this fact is exploited by first solving a conventional load flow, using exclusively a critical set of measurements, and then compensating the solution to account for the few redundant measurements available. This leads to a suboptimal but sufficiently accurate estimate. It is shown how the sparse triangular factorization of the load flow Jacobian matrix can be fully exploited throughout the compensation-based procedure, preventing in this way the ill-conditioning associated with the gain matrix arising in the conventional least-squares formulation. Simulation results are provided for measurement configurations customarily found in distribution systems, showing the potential advantages of the proposed methodology.

Suggested Citation

  • Catalina Gómez-Quiles & Esther Romero-Ramos & Antonio de la Villa-Jaén & Antonio Gómez-Expósito, 2020. "Compensated Load Flow Solutions for Distribution System State Estimation," Energies, MDPI, vol. 13(12), pages 1-13, June.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3100-:d:371937
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/12/3100/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/12/3100/
    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:13:y:2020:i:12:p:3100-:d:371937. 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.