IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i11p1736-d116988.html
   My bibliography  Save this article

A Transient Stability Numerical Integration Algorithm for Variable Step Sizes Based on Virtual Input

Author

Listed:
  • Yifan Gao

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Jianquan Wang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Tannan Xiao

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Daozhuo Jiang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract

In order to reduce the online calculations for power system simulations of transient stability, and dramatically improve numerical integration efficiency, a transient stability numerical integration algorithm for variable step sizes based on virtual input is proposed. The method for fully constructing the nonhomogeneous virtual input for a certain integration scheme is given, and the calculation method for the local truncation error of the power angle for the corresponding integration scheme is derived. A step size control strategy based on the predictor corrector variable step size method is proposed, which performs an adaptive control of the step size in the numerical integration process. The proposed algorithm was applied to both the IEEE39 system and a regional power system (5075 nodes, 496 generators) in China, and demonstrated a high level of accuracy and efficiency in practical simulations compared to the conventional numerical integration algorithm.

Suggested Citation

  • Yifan Gao & Jianquan Wang & Tannan Xiao & Daozhuo Jiang, 2017. "A Transient Stability Numerical Integration Algorithm for Variable Step Sizes Based on Virtual Input," Energies, MDPI, vol. 10(11), pages 1-21, October.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:11:p:1736-:d:116988
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/11/1736/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/10/11/1736/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Francisco Arredondo & Edgardo Daniel Castronuovo & Pablo Ledesma & Zbigniew Leonowicz, 2019. "Analysis of Numerical Methods to Include Dynamic Constraints in an Optimal Power Flow Model," Energies, MDPI, vol. 12(5), pages 1-17, March.

    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:10:y:2017:i:11:p:1736-:d:116988. 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.