CSEE Journal of Power and Energy Systems (Jan 2024)

Detection Method for Cascading Failure of Power Systems Based on Epidemic Model

  • Jian Xu,
  • Zhonghao He,
  • Siyang Liao,
  • Yuanzhang Sun,
  • Liangzhong Yao,
  • Deping Ke,
  • Jun Yang

DOI
https://doi.org/10.17775/CSEEJPES.2022.07410
Journal volume & issue
Vol. 10, no. 3
pp. 1356 – 1370

Abstract

Read online

The early detection of cascading failure plays an important role in the safe and stable operation of the power system with high penetration of renewable energy. This paper proposes a fault propagation dynamic model based on the epidemic model, and further puts forward a method to detect the development of cascading failures. Through the simulation of the IEEE 39-bus and 118-bus systems, this model is proven to be valid and capable of providing practical technical support for the prevention of cascading failures in power systems with high penetration of renewable energy. This paper also provides an analysis method for the choice of different protection and control measures at each stage of cascading failure, which has critical significance and follow-up value.

Keywords