Frontiers in Energy Research (Nov 2023)

Identification of dominant propagation paths based on sub-synchronous oscillation using branch oscillation energy distribution coefficient

  • Zhanhong Wei,
  • Xuebo Sun,
  • Xuebo Sun,
  • Wei Chen,
  • Jinhui Shi

DOI
https://doi.org/10.3389/fenrg.2023.1240553
Journal volume & issue
Vol. 11

Abstract

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The large-scale integration of wind power into the power grid can cause a new type of sub-synchronous power oscillation, different from traditional thermal power generation. The oscillation energy will spread extensively in the grid, causing power oscillation and even grid-cascading events. To address this issue, this article proposes a method for quantitatively analyzing the propagation characteristics of oscillation energy based on branch oscillation energy. Firstly, analyzing the oscillation energy shared by different branches in the network based on transient energy function. Next, a method is proposed to identify the dominant propagation path of sub-synchronous oscillation by defining the oscillation energy of branches under the dominant oscillation mode and the oscillation energy distribution coefficient of each branch. The oscillation partition set formed by the dominant propagation path can be used to locate the high-risk oscillation area of the system. Finally, the effectiveness of the method proposed in this paper for studying the wide-area propagation characteristics of sub-synchronous oscillations was verified through time-domain simulation analysis.

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