Study on the Detection of Transformer Oil Temperature

Zhou, Kehui; Huang, Yue; Li, Hongqi; Sun, Tengyu

doi:10.1051/matecconf/20167501005

Cited by 3 publications

(3 citation statements)

References 3 publications

(2 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Automated calculation is proposed to be performed in on-line mode using AMS database using the Top-Oil Temperature method for calculating the temperature of the oil most heated point and insulation's thermal wear [12,13,16]. The proposed method assumes the using an ambient temperatures by direct its measurement in real time.…”

Section: Power Transformer's Remaining Life Assess Module Elaborationmentioning

confidence: 99%

Expanding the functionality of automated monitoring systems for traction substations

Makasheva

Pinchukov

2018

MATEC Web Conf.

View full text Add to dashboard Cite

The paper deals with the problem of automated monitoring system improvement. The goal of the study is to create a controlling module of automated monitoring system for automation of calculations and assessment process of traction transformer's remaining life analysis. To achieve the goal, the modern power transformer’s diagnostic systems and methods of scientific analysis are considered, full-scaled experimental study are used. To adjust the timing of the current and major repairs, it is proposed to improve this monitoring system by creating an additional module to determine the traction transformer’s remaining life throughout its life cycle in real time and the formation of a warning system. Requirements to transformer’s remaining life assess module are formulated. Calculation algorithm and program module for identifying the transformer’s remaining life parameters are described. Benefits of introduction into the existing AMS a new additional module for calculating the transformer’s remaining life are shown.

show abstract

Section: Power Transformer's Remaining Life Assess Module Elaborationmentioning

confidence: 99%

Expanding the functionality of automated monitoring systems for traction substations

Makasheva

Pinchukov

2018

MATEC Web Conf.

View full text Add to dashboard Cite

show abstract

“…Statistical approach is another method which determined by calculating the transformer internal temperature. The implementation of this method is complicated and difficult [24], [25].…”

Section: Introductionmentioning

confidence: 99%

Online Estimation of Transformer Hot Spot Temperature by Considering the Effects of Load Profile Modeling

Moosavi,

Mokhtari

2023

Scientia Iranica

View full text Add to dashboard Cite

One of the most valuable components in power systems is power transformer whose failure may result in a significant power loss. Therefore, one of the critical issues in power transformer operation is its health monitoring. Moreover, it was shown that the aging rate of transformers is very sensitive to the hot spot temperature, and when this temperature exceeds a threshold value, the aging rate increases. Given the fact that using temperature sensors in prefabricated and built-in transformers is not practical, thermal models are used to estimate transformer hot spot temperature. Since the transformer hot spot temperature is a key factor in the condition monitoring of a transformer, and in case it will exceed a threshold value, preventive actions should be taken in the proposed algorithm, the sensitivity of this important parameter with respect to the load profile sampling time is investigated. This paper proposes a fast online algorithm for the estimation of power transformer hot spot temperature by reducing the number of calculations without sacrificing accuracy. The proposed algorithm is applied to a 250 MVA transformer using MATLAB software. The results were compared with the actual factory test results and the efficiency of the proposed algorithm was shown.

show abstract

“…Another difficulty with the direct measurement technique is to accurately locate the hotspot position and optimum sensor deployment [8,9]. The second method which is a statistical approach determined by calculating the internal temperature of the transformer (HST) is a very complicated and a difficult task [10][11][12]. A significant amount of work has been done on predicting the winding HST [13].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Thermal Model for Power Transformers

et al. 2021

View full text Add to dashboard Cite

The prediction and determination of thermal response for the metallic parts is a very crucial step in the design of power transformers. This paper presents a comparative analysis of different thermal models for predicting the hotspot temperature and top oil temperature of power transformers. Also, a new thermal model is proposed for the monitoring of transformer operation which is capable of identifying the hotspot temperature and the top oil temperature by taking into account the ambient temperature and the load variation with respect to real time. The model is experimentally validated and compared with the actual field data. It is found that results obtained from the proposed model and the actual field data are in good agreement.

show abstract

Study on the Detection of Transformer Oil Temperature

Cited by 3 publications

References 3 publications

Expanding the functionality of automated monitoring systems for traction substations

Expanding the functionality of automated monitoring systems for traction substations

Online Estimation of Transformer Hot Spot Temperature by Considering the Effects of Load Profile Modeling

Dynamic Thermal Model for Power Transformers

Contact Info

Product

Resources

About