Main oscillation path identification of power grid based on mapping elastic potential energy increment
Author:
Affiliation:

Clc Number:

TM712

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The boundary fluctuation of the actual power grid will cause the low-frequency oscillation, and the severe oscillation of some lines under the main oscillation path will seriously threaten the security and stability of the power grid. Therefore, the paper proposes an identification method of the main oscillation path under the boundary disturbance of the power grid. By comparing the similarities between power system and elastic mechanical system, the power grid is mapped into an elastic network, and a dynamic model of elastic mechanics is constructed to analyze the low-frequency oscillation of power grid from the perspective of mechanics. According to the energy conversion mechanism of forced vibration, the energy conversion characteristics of power systems under power oscillation are analyzed. Combined with the interaction and distribution characteristics of the network energy, the path oscillation index is established, and an identification method of main oscillation paths is proposed. The simulation results show that the dynamic mapping between power system and elastic mechanical system is reasonable, and the identification of main oscillation path is effective. The presented method is helpful to understand the physical process of low-frequency oscillation in power systems, and provides references to the relevant measures to suppress oscillation.

    Reference
    Related
    Cited by
Get Citation

路广才,竺炜,唐颖杰.基于映射弹性势能增量的电网主振荡路径识别[J].电力科学与技术学报英文版,2022,37(6):25-34. LU Guangcai, ZHU Wei, TANG Yingjie. Main oscillation path identification of power grid based on mapping elastic potential energy increment[J]. Journal of Electric Power Science and Technology,2022,37(6):25-34.

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: January 16,2023
  • Published: