Research of Temperature Field in Oil-Immersed Transformer Considering the Oil Speed

2014 ◽  
Vol 912-914 ◽  
pp. 1041-1045
Author(s):  
Guo Liang Yue ◽  
Yong Qiang Wang ◽  
Jie He ◽  
Hong Liang Liu
Keyword(s):  
Temperature Field ◽  
Hot Spot ◽  
Element Model ◽  
Thermal Coupling ◽  
Normal Range ◽  
Steady State Temperature ◽  
Oil Flow ◽  
Transformer Winding ◽  
The Mathematical Model ◽  
Spot Temperature

In this paper, we have Elaborated the mathematical model of temperature field and flow field of the oil-immersed transformer, and analysis its structure of thermal .We established a temperature finite element model of an oil-immersed transformer using the method of flow-solid-thermal coupling. Using the software of ANSYS, simulating on a 250MVA oil-immersed transformer, we obtain the steady-state temperature distribution and the winding hottest locations. Analyze the effect of oil-speed to the temperature field and location of the hot spot temperature of oil-immersed transformer. The results show that when oil flow rate is increases in the normal range, Transformer temperature rise corresponding slowly, and its location hottest temperature slightly pulled accordingly. The fiber measure different speeds Oil immersed transformer winding hot spot temperature to provide a basis for positioning.

Thermal Model of Disk Coil With Directed Oil Flow

2008 ◽  
Author(s):  
Shahram Khalil Aria ◽  
Sahar Samsami
Keyword(s):  
Mathematical Model ◽  
Optimal Design ◽  
Temperature Rise ◽  
Thermal Model ◽  
Hot Spot ◽  
Exact Location ◽  
Oil Flow ◽  
Transformer Winding ◽  
Spot Temperature

In this paper, a developed mathematical model for temperature rise calculation is briefly described. In this model, at first, load loss of a transformer winding with forced directed oil is calculated and the winding temperature rise along the horizontal ducts and vertical ducts is computed. Then hot spot temperature and its exact location is determined. The model can also be used for optimal design of winding in size and cooling. Finally the results are given and compared with experiment values.

Calculation of the Internal Temperature Field of Transformer by the Method of Combination the Finite Element and the Finite Volume

2014 ◽  
Vol 1079-1080 ◽  
pp. 492-497 ◽  
Author(s):  
Lun Ma ◽  
Liu Wang ◽  
Ying Ying Sun ◽  
Tao Wan ◽  
Jia Peng Wei ◽  
...  
Keyword(s):  
Temperature Field ◽  
Mixed Method ◽  
Hot Spot ◽  
Three Dimensional ◽  
Internal Temperature ◽  
Accurate Calculation ◽  
Calculation Results ◽  
Transformer Winding ◽  
Regulatory Model ◽  
Spot Temperature

Oil immersed transformer is an important equipment ofpower system, whose fault is often caused by the aging of insulation. In actualoperation, accurate calculation of the temperature field, especially hot spottemperature of transformer winding, is very important for stabilizing the powergrid operation and extending the transformer life. In order to calculate thetransformer's hot spot temperature accurately, a new method which is based oncomparison of respective advantages of the FEM and FVM is used; we take a31.5MVA transformer as exemple, using the hybrid method of the FEM and the FVM,the three-dimensional temperature field of transformer is calculated. Bycomparing the figures of top oil temperature of transformer monitored by theoperating transformer and the figures calculated by mixed method, the marginerror of the hot spot temperature is only 1.9°C. While the IEEE guidelines formodel calculation results, the calculated results of FEM algorithm and FVMalgorithm results with the monitoring data of standard deviation were as highas 4.6 °C, 3.8 °C and 3.1 °C. The Calculation accuracy is much higher than theaccuracy of the result using IEEE regulatory model, FEM and FVM, proved thatthis mixed method can calculate the internal temperature field of oil immersedtransformer accurately.

scholarly journals Study on the Method of Calculating Temperature Rise of Transformer

2020 ◽  
Vol 179 ◽  
pp. 01027
Author(s):  
Tao Li ◽  
Xiaoping Du ◽  
Xuewu Sun ◽  
Yuanyuan Song
Keyword(s):  
Temperature Rise ◽  
Thermal State ◽  
Hot Spot ◽  
Scientific Basis ◽  
Internal Temperature ◽  
Insulation Aging ◽  
The Neural Network ◽  
Forecasting Method ◽  
Transformer Winding ◽  
Spot Temperature

The internal temperature of the transformer is a key parameter to measure the thermal state of the transformer. The service life of the transformer generally depends on the life of the insulating material, and high temperature is the main reason why cause insulation aging, this paper studies the temperature rise of transformer winding hot spot temperature for the key, using the neural network forecasting method, forecasts transformer winding hot spot temperature change rule, calculate the transformer internal temperature rise, provide the temperature of the scientific basis for the safe operation of the transformer.

Direct Measurement of Transformer Winding Hot Spot Temperature

1984 ◽  
Vol PER-4 (6) ◽  
pp. 26-27 ◽  
Author(s):  
W. J. McNutt ◽  
J. C. McIver ◽  
G. E. Leibinger ◽  
D. J. Fallon ◽  
K. A. Wickersheim
Keyword(s):  
Direct Measurement ◽  
Hot Spot ◽  
Transformer Winding ◽  
Spot Temperature

Research of the Temperature Field Distribution Based on FVM for Oil-Immersed Transformer

2014 ◽  
Vol 1079-1080 ◽  
pp. 510-514
Author(s):  
Yong Qiang Wang ◽  
Jie He ◽  
Lun Ma ◽  
Liu Wang ◽  
Ying Ying Sun ◽  
...  
Keyword(s):  
Temperature Field ◽  
High Temperature ◽  
Temperature Distribution ◽  
Field Distribution ◽  
Hot Spot ◽  
Load Capacity ◽  
Normal Operation ◽  
Internal Temperature ◽  
Temperature Field Distribution ◽  
Spot Temperature

Thehottest spot temperature (HST) of windings of oil-immersed transformer is animportant factor that affects load capacity and operation life of transformer,and is closely related to the transformer load, top oil and environmenttemperature. HST, when operating at high temperature and overload, may lead totransformer failure which will affect the normal operation of the power system.In order to calculate the transformer hot spot temperature accurately, we takea 33MVA-500KV transformer as an example, and establish a three dimensionalmodel, get its internal temperature distribution based on Fluent simulationsoftware. At last, we comparative and analysis the accuracy of FVM calculation andIEEE guidelines recommend model combined with online monitored values. Theresults show that the FVM method with higher accuracy relative to the IEEEguidelines model, proved that using the FVM can accurately calculate the HST ofoil-immersed transformer.

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

2021 ◽  
Author(s):  
Zhengang Zhao ◽  
Zhangnan Jiang ◽  
Yang Li ◽  
Chuan Li ◽  
Dacheng Zhang
Keyword(s):  
Temperature Distribution ◽  
Hot Spots ◽  
Hot Spot ◽  
Transformer Oil ◽  
Distribution Characteristics ◽  
Thermal Circuit ◽  
Transformer Winding ◽  
Overload Capacity ◽  
The Impact ◽  
Spot Temperature

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.

scholarly journals Thermal optimization research of oil-immersed transformer winding based on the support machine response surface

2021 ◽  
pp. 264-264
Author(s):  
Fating Yuan ◽  
Wentao Yang ◽  
Bo Tang ◽  
Yue Wang ◽  
Fa Jiang ◽  
...  
Keyword(s):  
Response Surface ◽  
Low Voltage ◽  
Hot Spot ◽  
Optimization Method ◽  
Design Parameters ◽  
Support Vector ◽  
Structure Parameters ◽  
Transformer Winding ◽  
Polynomial Response Surface ◽  
Spot Temperature

In this paper, the CFD (computational fluid dynamics) model is established for the low voltage winding region of an oil-immersed transformer according to the design parameters, and the detailed temperature distribution within the region is obtained by numerical simulation. On this basis, the RSM (response surface methodology) is adopted to optimize the structure parameters with the purpose of minimizing the hot spot temperature. After a sequence of designed experiments, the second-order polynomial response surface and the SVM (support vector machine) response surface are established respectively. The analysis of their errors shows that the SVM response surface can be better used to fit the approximation. Finally, the PSO (particle swarm optimization) algorithm is employed to get the optimal structure parameters of the winding based on the SVM response surface. The results show that the optimization method can significantly reduce the hot spot temperature of the winding, which provides a guiding direction for the optimal design of the winding structure of transformers.

Thermal Analyzing of Disc Type Winding With Directed Oil Flow

2004 ◽  
Author(s):  
Seyyed Mehdi Peste ◽  
Mehdi Abloo
Keyword(s):  
Heat Transfer ◽  
Hot Spot ◽  
Iterative Solution ◽  
Oil Viscosity ◽  
Temperature Dependent ◽  
Local Circulation ◽  
Flow Paths ◽  
Oil Flow ◽  
Oil Density ◽  
Spot Temperature

In this paper, a model of a disc type winding for a transformer with directed oil flow is presented which utilizes a network of oil flow paths. Along each path segment, oil velocities and temperature rises are computed. The model includes temperature dependent oil density, resistivity, and oil viscosity and temperature and velocity dependent heat transfer and friction coefficients. Because of the non-linearity, an iterative solution is necessary. Temperature and oil velocities are computed and compared with experiment values. From this, the average winding temperature rise and the hot spot temperature can be determined. The model assumes the oil flows in definite paths and ignores local circulation, since we assume the oil flow is guided by means of oil flow washers, this assumption should be fairly accurate. The disc type winding is assumed to be subdivided into directed oil flow cooling paths.

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