Abstract
Aiming at the problem of life loss in the overload of oil-immersed power transformers, this paper proposes a method for evaluating the ultimate running time of oil-immersed power transformers under short-term emergency load. First, considering the nonlinearity of thermal resistance and the change of the top oil time constant, the thermoelectric analogy method is used to establish the transformer thermal circuit model. Second, based on the top oil temperature, the fourth-order Runge–Kutta method is used to calculate the winding hot spot temperature. Then, according to the temperature limits of hot spot temperature and top oil temperature of oil-immersed transformer in transformer load guideline GB/T 1094.7–2008, the limit time of transformer operation under different ambient temperature and load rate conditions is solved for short-term emergency load. Finally, the algorithm proposed in this paper is verified by simulation experiments, and compared with the temperature rise algorithm proposed by IEEE Std C57.91–1995. The results show that the error of the algorithm proposed is within the allowable range of the project, which verifies the effectiveness of the proposed method in this paper.
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References
Li, Y., Liu, N., Liang, Y.: A model of load capacity assessment for oil-immersed transformer by using temperature rise characteristics. Proc. CSEE 38(22), 6737–6745 (2018). (in Chinese)
Zeru, Z., Bin, C., Li, Y.: Transformer load capacity assessment model based on thermoelectric analogy. Guangdong Electr. Power 34(4), 101–106 (2021). (in Chinese)
Dong, X., Zhang, C., Ruan, J., et al.: Research and practices of dynamic thermal rating for oil-immersed power transformer. High Voltage Eng. 47(6), 1959–1968 (2021). (in Chinese)
Jiang, D., Huang, X., Guo, S.: Research on hot spot location of transformer winding based on thermal circuit model. Transformer 58(3), 45–49 (2021). (in Chinese)
Shen, Y., Feng, W.: Overload capacity and hot spot temperature calculation of large oil-immersed electricity transformer. Metall. Power 215, 7–9 (2018). (in Chinese)
Qiang, F., Yi, W., Qiansu, L., et al.: Transformer load forecasting and risk assessment based on main transformer load status. Electr. Measur. Instrum. 1–11 (2021). (in Chinese)
Djamali, M., Tenbohlen, S., Junge, E., et al.: Real-time evaluation of the dynamic loading capability of indoor distribution transformers. IEEE Trans. Power Delivery 33(3), 1134–1142 (2018)
Jin, N., Xu, X., Hemin, W., et al.: Thermal behavior calculation model of oil-immersed transformer winding based on thermoelectric analogy theory. Control Instrum. Chem. Ind. 46(9), 725–730 (2019). (in Chinese)
Paulhiac, L., Desquiens, R.: Dynamic thermal model for oil directed air forced power transformers with cooling stage representation. IEEE Trans. Power Deliv. 37(5), 4135–4144 (2022)
General Administration of Quality Supervision,Inspection and Quarantine of the People’s Republic of China, Standardization Administration of the People’s Republic of China. GB/T 1094.7—2008 Power Transformers-Part 7: loading guide for oil-immersed power transformer[S]. China Standard Press, Beijing (2009). (in Chinese)
IEEE Std C57.91–1995. IEEE guide for loading mineral-oil-immersed transformers
Susa, D.: Dynamic thermal modelling of power transfoemers. Helsinki University of Technology, Department of Electrical and Communications Engineering (2005)
Acknowledgements
This work was funded by Science and Technology project of State Grid Zhejiang Electric Power Co., Ltd. (5211DS220005).
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Lan, H., Liu, G., Gao, Y., Jiang, X., Wang, W. (2023). Ultimate Running Time Evaluation of Oil-Immersed Power Transformers for Short-Term Emergency Loads. In: Yang, Q., Dong, X., Ma, W. (eds) The proceedings of the 10th Frontier Academic Forum of Electrical Engineering (FAFEE2022). FAFEE 2022. Lecture Notes in Electrical Engineering, vol 1048. Springer, Singapore. https://doi.org/10.1007/978-981-99-3404-1_78
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DOI: https://doi.org/10.1007/978-981-99-3404-1_78
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