Inversion Detection of Transformer Transient Hot Spot Temperature

Ruan, Jiangjun; Deng, Yongqing; Quan, Yu; Gong, Ruohan

doi:10.1109/access.2021.3049235

Cited by 14 publications

(6 citation statements)

References 25 publications

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“…Therefore, the support vector regression machine is used to construct the inversion model of top oil temperature rise. Besides, the K-fold cross-validation training method and grid search (GS) parameters optimization method are used to find the optimal parameters of the SVR model [30,31]. 11.…”

Section: Identification Methods Of Transformer Abnormal Heating Statementioning

confidence: 99%

Inversion detection method of oil‐immersed transformer abnormal heating state

Deng

Ruan

Dong

et al. 2022

IET Electric Power Appl

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Transformer overheating faults have an important impact on the transformer safe and stable operation. Taking 10 kV oil‐immersed transformer as the research object, using the indirect coupling analysis method of electromagnetic thermal fluid multi‐physical field, the transformer heating characteristics under overheating faults, such as winding inter‐turn short circuit and core multi‐point grounding, are analysed, and the transformer abnormal heating state identification method is proposed based on the inversion of transformer top oil temperature rise. By inverting the transformer normal top oil temperature rise under different load rates and comparing it with the actual measured value, taking into account the top oil temperature rise inversion error, it is determined that when the top oil temperature rise measured value is higher than the inversion value by 2.9 K, it indicates the transformer is in an abnormal heating state, and the higher the deviation degree is, the deeper the degree of abnormal heating fault. The accuracy of the transformer abnormal heating state identification method is verified by the multi‐working condition temperature rise test, which can provide a certain reference for the detection and maintenance of transformer abnormal internal heating faults.

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Section: Identification Methods Of Transformer Abnormal Heating Statementioning

confidence: 99%

Inversion detection method of oil‐immersed transformer abnormal heating state

Deng

Ruan

Dong

et al. 2022

IET Electric Power Appl

Self Cite

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“…An inversion detection technique for transformer transient hot spot temperature was established in Ref. [ 47 ]. The results of this methodology outperform the outcome of GA-BPNN method in HST determination.…”

Section: Brief Review Of Soft Computing Techniques In Transformer The...mentioning

confidence: 99%

Transformer hot spot temperature estimation through adaptive neuro fuzzy inference system approach

Mharakurwa,

Gicheru

2024

Heliyon

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“…In addition, the heat exchange process calculated based on the same parameters also uniquely determines the temperature field distribution inside the transformer. The inverse calculation is based on the internal heat source and shell temperature to the transformer winding hot spot temperature [18], [19]. The overall idea is shown in Fig 5.…”

Section: A Extraction Of Characteristic Temperature Measurement Point...mentioning

confidence: 99%

“…For oil-immersed transformers, oil flow is the main medium for heat exchange. Based on the idea of heat flow coupling between the winding hot spot area and the shell heat dissipation area, the typical heat flow streamline can be extracted to obtain the shell temperature measurement points strongly related more effectively to the internal hot spot temperature [18], [19]. Therefore, the combination of streamline analysis method in temperature fluid field and artificial intelligence algorithm provides a new solution for transformer hot spot temperature inversion prediction.…”

Section: Introductionmentioning

confidence: 99%

Research on Inversion Model of Winding Hot Spot Temperature of 10-kV Oil-Immersed Three-Dimensional Coiled Core Transformer

Chen¹,

Chen²,

Huang³

et al. 2024

IEEE Access

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Realizing online monitoring of the hot spot temperature of grid mounted transformer windings is a challenge for the power industry. The heat exchange process between the internal heat source area and the external field area of the transformer is the direct cause of the temperature increase of the transformer shell. In this paper, based on the numerical coupling calculation of temperature -fluid field of 10kV oil immersed solid coiled iron core transformer, the typical heat flow streamline is extracted, and the measurable temperature characteristic points strongly correlated to the winding hot spot temperature are selected in the heat dissipation area of the shell, and the inversion model of the transformer winding hot spot temperature is established. This article verifies the effectiveness of the simulation results and the accuracy of the inversion model through the multi condition temperature rise test of transformer. The maximum error between the calculated steady-state temperature rise of each temperature measurement point in the simulation model and the test value is no more than 3°C, the simulation calculation results are in good agreement with the test results, and the average absolute error of the inversion model winding hot spot temperature inversion is 2.67 %, the maximum temperature difference is less than 3°C. This research provides an effective method for online monitoring of the hot spot temperature of the winding of a 10kV oil-immersed three-dimensional coil iron core transformer, and provides a reference for the state detection of grid mounted transformers.INDEX TERMS oil-immersed transformer; temperature fluid field; streamline extraction; hot spot temperature inversion; power equipment status monitoring

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Inversion Detection of Transformer Transient Hot Spot Temperature

Cited by 14 publications

References 25 publications

Inversion detection method of oil‐immersed transformer abnormal heating state

Inversion detection method of oil‐immersed transformer abnormal heating state

Transformer hot spot temperature estimation through adaptive neuro fuzzy inference system approach

Research on Inversion Model of Winding Hot Spot Temperature of 10-kV Oil-Immersed Three-Dimensional Coiled Core Transformer

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