Multi -source data -based fault analysis method for UHV power grid

被引:0
作者
Dan, Liu [1 ]
Peng, Guo [2 ]
Li Yanfei [2 ]
Kang Yiqun [2 ]
机构
[1] Elect Power Dispatch & Control Ctr, Relay protect Dept, Beijing, Peoples R China
[2] China Elect Power Res Inst, Relay protect Res Inst, Beijing, Peoples R China
来源
2020 INTERNATIONAL CONFERENCE ON BIG DATA & ARTIFICIAL INTELLIGENCE & SOFTWARE ENGINEERING (ICBASE 2020) | 2020年
关键词
UHV grid; fault analysis; online occasions; time series;
D O I
10.1109/ICBASE51474.2020.00029
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The rapid and intelligent analysis of UHV grid faults plays an important role for improving the handling efficiency of grid fault and the automation degree of dispatching operations. Aiming at the fact that the available power grid fault analysis methods aims at offline occasions, this paper proposes a UHV grid fault analysis method based on multi-source data for online analysis occasions. Firstly, this paper obtains the basic data and operating data required for UHV grid fault analysis from multiple professional software systems of relay protection, such as the relay protection online monitoring system, relay protection and fault information system. Then, the physical ID of the relay protection device is used to realize the data fusion between different professional software systems. On this basis, a UHV grid fault analysis method suitable for online occasions is proposed. This method can automatically screen the grid fault components, generate relay protection and circuit breaker action sequence, and evaluate the action behavior of relay protection. The actual fault case of the UHV power grid verifies the effectiveness of this method.
引用
收藏
页码:98 / 102
页数:5
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