A Novel Model for Thermal Behavior Prediction of Oil-Immersed Distribution Transformers With Consideration of Solar Radiation

Taheri, Ali Asghar; Abdali, Ali; Rabiee, Abbas

doi:10.1109/tpwrd.2019.2916664

Cited by 41 publications

(24 citation statements)

References 17 publications

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“…The consideration of environmental factors such as solar radiation and wind is a way to improve the accuracy of transformer models of outdoor units. A previous study on distribution transformers shows that the top-oil temperature could increase by 3.7°C on sunny days in summer [12]. There is no significant research carried out regarding the impact of natural winds on the thermal performance of transformers [13].…”

Section: Introductionmentioning

confidence: 99%

A Top-Oil Thermal Model for Power Transformers That Considers Weather Factors

Doolgindachbaporn

George

Lewin

et al. 2022

IEEE Trans. Power Delivery

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The aim of this work is to develop a top-oil thermal model based on the thermal-electrical analogy and heat transfer principles that captures the thermal influence of prevailing winds and solar radiation which can be generally applied to large power transformers. The key improvements of the proposed thermal model are calculating the heat transfer coefficient of the radiator on the air side using the Nusselt number of combined forced and natural convection, and including the solar radiation as an addition heat source. The proposed model is validated with the operational measurements of 3 transformers that are comprised of a 120/240-MVA unit and two 90/180-MVA units. The results are also compared with the predictions based on the IEEE-Annex G model. The proposed model is more accurate over windy and summer periods as expected.

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Section: Introductionmentioning

confidence: 99%

A Top-Oil Thermal Model for Power Transformers That Considers Weather Factors

Doolgindachbaporn

George

Lewin

et al. 2022

IEEE Trans. Power Delivery

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“…A. A. Taheri, A. Abdali and A. Rabiee [10] a thermal resistance with solar radiation is used to explain the heat transfer theory in transformer. The effect of  ISSN: 2302-9285 long term ambient temperature was investigated in [11], [12].…”

Section: Introductionmentioning

confidence: 99%

Analysis of thermal models to determine the loss of life of mineral oil immersed transformers

et al. 2021

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Hot spot as well as top oil temperatures have played the most effective parameters on the life of the electrical transformers. The prognostication of these factors is very vital for determining the residual life of the electrical transformers in the transmission and distribution systems. Thus, an accurate mathematical method is required to calculate the critical temperature such as hot spot and top oil temperature based on the different types of thermal models. In this study calculates the service life of the transformers based on an accurate top oil temperature. Accordingly, An approach solution is given for calculating the thermal model. Also, findings are validated with true temperatures. Finally, this method is implemented on 2500 KVA electrical transformer.

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“…The hot-spot temperature and hot-spot position of the oil-immersed transformer are important monitoring targets for regular transformer operation. In order to ensure the safe and stable operation of the transformer, real-time monitoring and prediction are required for the hot-spot temperature during the operating (Taheri et al, 2019;Pylvanainen et al, 2007;Chochowski and Obstawski, 2017). In this regard, SwiftG et al (2001) proposed to use the analog thermoelectric method to establish a transformer temperature calculation model.…”

Section: Introductionmentioning

confidence: 99%

Effect of Loads on Temperature Distribution Characteristics of Oil-Immersed Transformer Winding

Zhao

Jiang

et al. 2021

DGAEJ

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The temperature of the hot-spots on windings is a crucial factor that can limit the overload capacity of the transformer. Few studies consider the impact of the load on the hot-spot when studying the hot-spot temperature and its location. In this paper, a thermal circuit model based on the thermoelectric analogy method is built to simulate the transformer winding and transformer oil temperature distribution. The hot-spot temperature and its location under different loads are qualitatively analyzed, and the hot-spot location is analyzed and compared to the experimental results. The results show that the hot-spot position on the winding under the rated power appears at 85.88% of the winding height, and the hot-spot position of the winding moves down by 5% in turn at 1.3, 1.48, and 1.73 times the rated power respectively.

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A Novel Model for Thermal Behavior Prediction of Oil-Immersed Distribution Transformers With Consideration of Solar Radiation

Cited by 41 publications

References 17 publications

A Top-Oil Thermal Model for Power Transformers That Considers Weather Factors

A Top-Oil Thermal Model for Power Transformers That Considers Weather Factors

Analysis of thermal models to determine the loss of life of mineral oil immersed transformers

Effect of Loads on Temperature Distribution Characteristics of Oil-Immersed Transformer Winding

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