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Analysis and Experiment of Hot-Spot Temperature Rise of 110 kV Three-Phase Three-Limb Transformer

Author

Listed:
  • Ruohan Gong

    (School of Electrical Engineering, Wuhan University, No. 8, South Road of Eastern Lake, Wuhan 430072, China)

  • Jiangjun Ruan

    (School of Electrical Engineering, Wuhan University, No. 8, South Road of Eastern Lake, Wuhan 430072, China)

  • Jingzhou Chen

    (School of Electrical Engineering, Wuhan University, No. 8, South Road of Eastern Lake, Wuhan 430072, China)

  • Yu Quan

    (School of Electrical Engineering, Wuhan University, No. 8, South Road of Eastern Lake, Wuhan 430072, China)

  • Jian Wang

    (School of Electrical Engineering, Wuhan University, No. 8, South Road of Eastern Lake, Wuhan 430072, China)

  • Cihan Duan

    (School of Electrical Engineering, Wuhan University, No. 8, South Road of Eastern Lake, Wuhan 430072, China)

Abstract

This paper presents a fluid-thermal coupled analysis method to compute the temperature distribution in a 31.5 MVA/110 kV oil natural air natural (ONAN) three-phase three-limb transformer. The power losses of windings and core are measured by load-loss test and no-load test respectively. The convective heat transfer process, radiation and oil flow inside the transformer are investigated by finite volume method (FVM). In order to validate the feasibility and accuracy of the presented method, the temperature measuring system based on fiber Brag grating (FBG) sensor is constructed for the temperature rise test of the 31.5 MVA/110 kV ONAN transformer. The simulation results deduced from the proposed method agree well with experimental data. This model can be applied to optimizing design and load scheduling.

Suggested Citation

  • Ruohan Gong & Jiangjun Ruan & Jingzhou Chen & Yu Quan & Jian Wang & Cihan Duan, 2017. "Analysis and Experiment of Hot-Spot Temperature Rise of 110 kV Three-Phase Three-Limb Transformer," Energies, MDPI, vol. 10(8), pages 1-12, July.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:8:p:1079-:d:105836
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    References listed on IDEAS

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    1. Stefan Tenbohlen & Sebastian Coenen & Mohammad Djamali & Andreas Müller & Mohammad Hamed Samimi & Martin Siegel, 2016. "Diagnostic Measurements for Power Transformers," Energies, MDPI, vol. 9(5), pages 1-25, May.
    2. Byung Eun Lee & Jung-Wook Park & Peter A. Crossley & Yong Cheol Kang, 2014. "Induced Voltages Ratio-Based Algorithm for Fault Detection, and Faulted Phase and Winding Identification of a Three-Winding Power Transformer," Energies, MDPI, vol. 7(9), pages 1-19, September.
    3. Ruohan Gong & Jiangjun Ruan & Jingzhou Chen & Yu Quan & Jian Wang & Shuo Jin, 2017. "A 3-D Coupled Magneto-Fluid-Thermal Analysis of a 220 kV Three-Phase Three-Limb Transformer under DC Bias," Energies, MDPI, vol. 10(4), pages 1-9, March.
    4. Chen Wang & Jie Wu & Jianzhou Wang & Weigang Zhao, 2016. "Reliability Analysis and Overload Capability Assessment of Oil-Immersed Power Transformers," Energies, MDPI, vol. 9(1), pages 1-19, January.
    5. Radu Godina & Eduardo M. G. Rodrigues & João C. O. Matias & João P. S. Catalão, 2015. "Effect of Loads and Other Key Factors on Oil-Transformer Ageing: Sustainability Benefits and Challenges," Energies, MDPI, vol. 8(10), pages 1-40, October.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Gang Liu & Zhi Zheng & Dongwei Yuan & Lin Li & Weige Wu, 2018. "Simulation of Fluid-Thermal Field in Oil-Immersed Transformer Winding Based on Dimensionless Least-Squares and Upwind Finite Element Method," Energies, MDPI, vol. 11(9), pages 1-17, September.
    2. Haonan Tian & Zhongbao Wei & Sriram Vaisambhayana & Madasamy Thevar & Anshuman Tripathi & Philip Kjær, 2019. "A Coupled, Semi-Numerical Model for Thermal Analysis of Medium Frequency Transformer," Energies, MDPI, vol. 12(2), pages 1-16, January.
    3. Zbigniew Nadolny & Grzegorz Dombek, 2018. "Electro-Insulating Nanofluids Based on Synthetic Ester and TiO 2 or C 60 Nanoparticles in Power Transformer," Energies, MDPI, vol. 11(8), pages 1-11, July.
    4. Zbigniew Nadolny, 2022. "Determination of Dielectric Losses in a Power Transformer," Energies, MDPI, vol. 15(3), pages 1-14, January.
    5. Marko Novkovic & Zoran Radakovic & Federico Torriano & Patrick Picher, 2023. "Proof of the Concept of Detailed Dynamic Thermal-Hydraulic Network Model of Liquid Immersed Power Transformers," Energies, MDPI, vol. 16(9), pages 1-26, April.
    6. Janvier Sylvestre N’cho & Issouf Fofana, 2020. "Review of Fiber Optic Diagnostic Techniques for Power Transformers," Energies, MDPI, vol. 13(7), pages 1-24, April.

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