Resilience Assessment and Its Enhancement in Tackling Adverse Impact of Ice Disasters for Power Transmission Systems

被引:42
作者
Lu, Jiazheng [1 ,2 ]
Guo, Jun [1 ,2 ]
Jian, Zhou [1 ,2 ]
Yang, Yihao [3 ]
Tang, Wenhu [3 ]
机构
[1] State Key Lab Disaster Prevent & Reduct Power Gri, Changsha 410129, Hunan, Peoples R China
[2] State Grid Hunan Elect Co Ltd, Disaster Prevent & Reduct Ctr, Changsha 410129, Hunan, Peoples R China
[3] South China Univ Technol, Sch Elect Power Engn, Guangzhou 510640, Guangdong, Peoples R China
关键词
cell partition method; ice disasters; power transmission systems; resilience assessment; sequential Monte Carlo; EXTREME; WEATHER; MODEL;
D O I
10.3390/en11092272
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Ice disasters have frequently occurred worldwide in recent years, which seriously affected power transmission system operations. To improve the resilience of power grids and minimize economic losses, this paper proposes a framework for assessing the influence of ice disasters on the resilience of power transmission systems. This method considers the spatial-temporal impact of ice disasters on the resilience of power transmission systems, and the contingence set for risk assessment is established according to contingency probabilities. Based on meteorological data, the outage models of power transmission components are developed in the form of generic fragility curves, and the ice load is given by a simplified freezing rain ice model. A cell partition method is adopted to analyze the way ice disasters affect the operation of power transmission systems. The sequential Monte Carlo simulation method is used to assess resilience for capturing the stochastic impact of ice disasters and deriving the contingency set. Finally, the IEEE RTS-79 system is employed to investigate the impact of ice disasters by two case studies, which demonstrate the viability and effectiveness of the proposed framework. In turn, the results help recognize the resilience of the system under such disasters and the effects of different resilience enhancement measures.
引用
收藏
页数:15
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