Emergency overloading of air-cooled oil-immersed power transformers by hot-spot temperature

1942 ◽  
Vol 61 (12) ◽  
pp. 993-995
Keyword(s):  
Hot Spot ◽  
Power Transformers ◽  
Spot Temperature

A Novel Approach to Investigate the Hot-Spot Temperature Rise in Power Transformers

2015 ◽  
Vol 51 (3) ◽  
pp. 1-4 ◽  
Author(s):  
Longnv Li ◽  
Shuangxia Niu ◽  
S. L. Ho ◽  
W. N. Fu ◽  
Yan Li
Keyword(s):  
Temperature Rise ◽  
Hot Spot ◽  
Power Transformers ◽  
Novel Approach ◽  
Spot Temperature

Oil Additives for the Evaluation of Hot Spot Temperature in Power Transformers During Overload Tests

1982 ◽  
Vol EI-17 (5) ◽  
pp. 414-422 ◽  
Author(s):  
M. Duval ◽  
J. Aubin ◽  
Y. Giguere ◽  
G. Pare ◽  
Y. Langhame
Keyword(s):  
Hot Spot ◽  
Power Transformers ◽  
Oil Additives ◽  
Spot Temperature

Design of a New Oil Spraying Device for Hot Spot Cooling in Large Scale Electric Power Transformers

2008 ◽  
Vol 9 (2) ◽  
Author(s):  
Kourosh Mousavi Takami ◽  
Jafar Mahmoudi
Keyword(s):  
Thermal Management ◽  
Large Scale ◽  
Cooling System ◽  
Hot Spot ◽  
Considerable Effect ◽  
Power Transformers ◽  
Insulation Aging ◽  
Simulation Results ◽  
Spot Cooling ◽  
Spot Temperature

Hot spot temperature (HST) is the most important parameter in the operation of power transformers. The HST has to be held under a prescribed limit. HST has a considerable effect on the insulation aging. Therefore detecting, monitoring and removing the HST could be a very important and necessary action for utilities. A new design of oil spraying and its effect, along with a thermal management in a transformer cooling system has been studied in this paper. The effect of oil fluid flow on the HST problem has been considered in this paper; and the calculations and simulation have been performed by Ants algorithm. The simulation results have been validated based on a 230/63/20 kV, 250MVA transformer at the Sari substation in Iran, and the results indicate that the new design could mitigate the limitations of transformer loading due to the HST problem. The Ants algorithm have been proposed and applied for accomplishing this task and to give an improved level of accuracy.

scholarly journals A Study on the Hot Spot Temperature in 154kV Power Transformers

2012 ◽  
Vol 7 (3) ◽  
pp. 312-319 ◽  
Author(s):  
Dong-Jin Kweon ◽  
Kyo-Sun Koo ◽  
Jung-Wook Woo ◽  
Joo-Sik Kwak
Keyword(s):  
Hot Spot ◽  
Power Transformers ◽  
Spot Temperature

The Assessment of the Overload Capacity of Transformer Based on the Temperature Reverse Extrapolation Method

2013 ◽  
Vol 860-863 ◽  
pp. 2153-2156 ◽  
Author(s):  
Wei Jia Liu ◽  
Xin Wang ◽  
Yi Hui Zheng ◽  
Li Xue Li ◽  
Qing Shan Xu
Keyword(s):  
Online Monitoring ◽  
Hot Spot ◽  
Assessment System ◽  
Extrapolation Method ◽  
Power Transformers ◽  
Practical Significance ◽  
Distribution Model ◽  
Online Monitoring System ◽  
Overload Capacity ◽  
Spot Temperature

The assessment of the overload capacity of transformer has a certain practical significance. In this paper, a temperature reverse extrapolation method is proposed to assess the overload capacity of transformer. Firstly, the top oil temperature is monitored by the online monitoring system. Secondly, the temperature distribution model and the calculation methods of hot spot temperature in the PTP7 (Power Transformers. Part 7: Loading guide for oil-immersed power transformers) guide are analyzed. Then, a new method called temperature reverse extrapolation which can calculate the overload factor of transformer is composed. And based on the overload factor, two meaningful data about overload capacity are obtained. Finally, an assessment system of transformer overload capacity based on the online monitoring is developed.

scholarly journals Modeling of the Winding Hot-Spot Temperature in Power Transformers: Case Study of the Low-Loaded Fleet

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3561 ◽  
Author(s):  
Kunicki ◽  
Borucki ◽  
Cichoń ◽  
Frymus
Keyword(s):  
Hot Spot ◽  
Electrical Power ◽  
Real Life ◽  
Power Transformers ◽  
Measuring Systems ◽  
On Line ◽  
Method Accuracy ◽  
Technical Assessment ◽  
Spot Temperature

A proposal of the dynamic thermal rating (DTR) applied and optimized for low-loaded power transformers equipped with on-line hot-spot (HS) measuring systems is presented in the paper. The proposed method concerns the particular population of mid-voltage (MV) to high-voltage (HV) transformers, a case study of the population of over 1500 units with low average load is analyzed. Three representative real-life working units are selected for the method evaluation and verification. Temperatures used for analysis were measured continuously within two years with 1 h steps. Data from 2016 are used to train selected models based on various machine learning (ML) algorithms. Data from 2017 are used to verify the trained models and to validate the method. Accuracy analysis of all applied ML algorithms is discussed and compared to the conventional thermal model. As a result, the best accuracy of the prediction of HS temperatures is yielded by a generalized linear model (GLM) with mean prediction error below 0.71% for winding HS. The proposed method may be implemented as a part of the technical assessment decision support systems and freely adopted for other electrical power apparatus after relevant data are provided for the learning process and as predictors for trained models.

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