Intelligent analysis and early warning model of grid meteorological disaster risk

4th International Conference on Energy Equipment Science and Engineering

Xu, Jiahui^1^2 ; Wang, Shouqin^1^2 ; Hu, Haoming^3 ; Wang, Xiaojie^4 ; Wu, Wenbin^4 ; Ye, Jianhui^5 ; Lou, Tianyue^1^2 ; Xiu, Tian^1^2

NARI GROUP CORPORATION/STATE GRID ELECTRIC POWER RESEARCH INSTITUTE, NanJing

211000, China^1

BeiJing KeDong Electric Power Control System Co. Ltd., Beijing

100192, China^2

Jiangsu Electric Power Company Research Institute, Jiangsu Nanjing

210096, China^3

Fujian Electric Power Company Research Institute, Fujian Fuzhou

35007, China^4

State Grid Hunan Electric Power Company, Hunan Changsha

410000, China^5

关键词: Early-warning models;    Electric power equipments;    Intelligent analysis;    Meteorological disasters;    Meteorological factors;    Operation of power system;    Power grid operations;    Security risks;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/242/2/022030/pdf
DOI  :  10.1088/1755-1315/242/2/022030

来源: IOP

【 摘 要 】

Meteorological disaster is an important factor that affecting the operation of power system stability. Through data mining the relationship between the electric power equipment failure, the limit of water, and the meteorological disaster, we can find the main meteorological factors that cause failure or the limit. In order to effectively reduce the security risk of power grid operation, it is necessary to alarm the fault or the risk of exceeding the limit in advance.