The Application of Uncertainty Algorithm in Electric Power System

被引:0
|
作者
Mao, Chen [1 ]
Zhang, Dandan [2 ,3 ]
Pu, Lu [1 ]
Wang, Xianni [2 ,3 ]
Liu, Qiang [1 ,4 ]
Yang, Ruilin [2 ,3 ]
机构
[1] State Grid Shanxi Elect Power Co, Elect Power Res Inst, Xian 710100, Shaanxi, Peoples R China
[2] Huazhong Univ Sci & Technol, State Key Lab Adv Electromagnet Engn, Wuhan 430074, Hubei, Peoples R China
[3] Huazhong Univ Sci & Technol, State Key Lab Adv Electromagnet Engn & Technol, Wuhan, Hubei, Peoples R China
[4] Wuhan NARI State Grid Power Res Inst, Wuhan 710100, Hubei, Peoples R China
来源
2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON) | 2018年
关键词
Fuzzy theory; evidence theory; rough set theory;
D O I
暂无
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
There are many fuzzy problems in the power system, such as fault diagnosis, condition assessment, etc. Despite the rapid development of science and technology, uncertain and incomplete information still exists to varying degrees. These problems often involve multiple factors. It is very important to choose a suitable method to deal with such problems. In this paper, a new uncertainty algorithm is proposed based on fuzzy theory, rough set theory and evidence theory to solve the problem of multi-index uncertainty in power system. This algorithm can process inaccurate data and then analyze it. Taking the transformer state evaluation as an example, the application of this algorithm is illustrated.
引用
收藏
页码:4596 / 4602
页数:7
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