IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i17p4374-d1469018.html
   My bibliography  Save this article

Sensitivity Analysis and Distribution Factor Calculation under Power Network Branch Power Flow Exceedance

Author

Listed:
  • Shuqin Sun

    (College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China)

  • Zhenghai Yuan

    (College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China)

  • Weiqiang Liang

    (Guangdong Power Grid Co., Ltd., Guangzhou Huadu Power Supply Bureau, Guangzhou 510896, China)

  • Xin Qi

    (Dispatching and Control Center, State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050022, China)

  • Guanghao Zhou

    (College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China)

Abstract

As the scale of power systems continue to expand and their structure becomes increasingly complex, it is likely that branch power flow exceedance may occur during the operation of power systems, posing threats to the safe and stable operation of entire systems. This paper addresses the issue of branch flow exceedance in power networks. To enhance the operational efficiency and optimize the adjustment effects, this paper proposes a method for eliminating branch power flow exceedance by improving the particle swarm optimization (PSO) algorithm through the introduction of sensitivity and distribution factors. Firstly, it introduces the basic theory and calculation methods of sensitivity analysis, focusing on deriving the calculation principles of power flow sensitivity and voltage sensitivity, used to predict the responses of power flow at each branch in the power network to power or voltage changes. Subsequently, the paper provides a detailed derivation of the calculation principles for the line outage distribution factor (LODF), which effectively assesses the changes in branch power flow in the power network under specific conditions. Finally, a method for eliminating branch power flow exceedance based on a combination of sensitivity analysis and PSO algorithm is proposed. Through case analysis, it is demonstrated how to use the sensitivity and distribution factor to predict and control the power flow exceedance issues in power systems, verifying the efficiency and practicality of the proposed method for eliminating branch power flow exceedance. The study shows that this method can rapidly and accurately predict and address branch power flow exceedance in power system, thereby enhancing the operational safety of the power system.

Suggested Citation

  • Shuqin Sun & Zhenghai Yuan & Weiqiang Liang & Xin Qi & Guanghao Zhou, 2024. "Sensitivity Analysis and Distribution Factor Calculation under Power Network Branch Power Flow Exceedance," Energies, MDPI, vol. 17(17), pages 1-22, September.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:17:p:4374-:d:1469018
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/17/4374/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/17/4374/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dong Liu & Xinxu Wei & Jingjing Zhang & Xiao Hu & Lihong Zhang, 2023. "A Parameter Sensitivity Analysis of Hydropower Units under Full Operating Conditions Considering Turbine Nonlinearity," Sustainability, MDPI, vol. 15(15), pages 1-21, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:17:y:2024:i:17:p:4374-:d:1469018. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.