Hot spot temperature prediction model of transformer based on GP-NLMS

Hot spot temperature prediction model of transformer based on GP-NLMS

An accurate estimation model of winding hot spot temperature is the key to assess the thermal state and insulation life of oil-immersed transformers. Based on the hot spot temperature and load current monitored by the substation,the genetic programming algorithm is applied to train the basic structu...

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Bibliographic Details
Main Authors:	ZHANG Jun, CHEN Xiao, ZHANG Wang, ZHU Delyu, CHEN Yinghua
Format:	Article
Language:	zho
Published:	Editorial Department of Electric Power Engineering Technology 2022-09-01
Series:	电力工程技术
Subjects:	oil-immersed transformer hot spot temperature genetic programming normalized least mean square (nlms) algorithm insulation life explicit prediction model
Online Access:	https://www.epet-info.com/dlgcjs/article/html/210519688

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