LOW VOLTAGE APPARATUS ›› 2022, Vol. 0 ›› Issue (7): 27-35.doi: 10.16628/j.cnki.2095-8188.2022.07.005

• Research & Analysis • Previous Articles     Next Articles

Quantitative Assessment Method of Wind Farm Resilience Under Extreme Wind Conditions

JING Tonghui, WANG Xiaodong, LIU Yingming, LI Shanshan   

  1. School of Electrical Engineering,Shenyang University of Technology, Shenyang 110870, China
  • Received:2022-02-12 Online:2022-07-30 Published:2022-09-16

Abstract:

In the context of building a new power system with new energy as the mainstay,aiming at the problem of wind farm resilience assessment under extreme conditions,a quantitative evaluation method of wind farm resilience under extreme wind conditions based on Monte Carlo simulation is proposed.On the basis of clarifying the concept of wind farm resilience,based on multi-stage elastic polygons,the wind farm resilience quantification and evaluation index is proposed,and the method for determining the failure of each component of the wind farm is proposed by modeling the extreme wind events and wind farm states.The wind farm resilience assessment method based on the sequential Monte Carlo simulation is proposed by supplementing the degradation and restoration stage model.Finally,a example is used to evaluate four types of wind farm infrastructure and operational resilience,and the effectiveness of the proposed method is verified by analyzing the influence of physical strength and redundant equipment performance on the resilience.

Key words: resilience assessment, wind farm, extreme wind condition, Monte Carlo simulation, fragility curve

CLC Number: