Development of power transformer thermal models for oil temperature prediction

被引：0
|
作者：
Tang, WH [1 ]
Zeng, H
Nuttall, KI
Richardson, Z
Simonson, E
Wu, QH
机构：
[1] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England
[2] Elect Power Res Inst, Beijing 100085, Peoples R China
来源：
REAL-WORLD APPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS | 2000年 / 1803卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes a new thermal model of oil-immersed, forced-air cooled power transformers and a methodology for model construction using intelligent learning applied to on-site measurements. The model delivers the value of bottom-oil and top-oil temperatures for thermal performance prediction and on-line monitoring of power transformers. The results obtained using the new thermal model are compared with the results of a traditional thermal model and the results derived from artificial neural networks.
引用
收藏
页码：195 / 204
页数：10
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