IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i6p2051-d768826.html
   My bibliography  Save this article

Simplified A-Diakoptics for Accelerating QSTS Simulations

Author

Listed:
  • Davis Montenegro

    (Distribution Planning and Operations, EPRI, Knoxville, TN 37932, USA)

  • Roger Dugan

    (Distribution Planning and Operations, EPRI, Knoxville, TN 37932, USA)

Abstract

The spread of distributed energy resources (DERs) across the distribution power system demands complex planning studies based on quasi-static-time-series (QSTS) simulations, requiring a significant amount of computing time to complete, leading planners to look for alternatives to QSTS. Diakoptics based on actors (A-Diakoptics) is a technique for accelerating simulations combining two computing techniques from different engineering fields: diakoptics and the actor model. Diakoptics is a mathematical method for tearing networks, reducing their complexity by using smaller subcircuits that can be solved independently. The actor model is used to coordinate the interaction between these subcircuits and their control actions, given the pervasive inconsistency that can be found when dealing with large-scale models. A-Diakoptics is a technique that simplifies the power flow problem for improving the simulation time performance, leading to faster QSTS simulations. This paper presents a simplified algorithm version of A-Diakoptics for modernizing sequential power simulation tools to use parallel processing. This simplification eliminates critical points found in previous versions of A-Diakoptics, improving the performance of the algorithm and facilitating its implementation to perform QSTS simulations. The performance of the new version of A-Diakoptics is evaluated by its integration into EPRI’s open-source simulator OpenDSS, which uses standard computing architectures and is publicly available.

Suggested Citation

  • Davis Montenegro & Roger Dugan, 2022. "Simplified A-Diakoptics for Accelerating QSTS Simulations," Energies, MDPI, vol. 15(6), pages 1-13, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:6:p:2051-:d:768826
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/6/2051/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/6/2051/
    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:6:p:2051-:d:768826. 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.