Data-driven Method for Impedance Calculation and Temperature Rise Warning of Joint of Distribution Transformer
Transformer|更新时间:2025-04-26
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Data-driven Method for Impedance Calculation and Temperature Rise Warning of Joint of Distribution Transformer
High Voltage ApparatusVol. 60, Issue 11, Pages: 1-8(2024)
作者机构:
1.长沙理工大学,长沙 410000
2.江西省电力科学研究院,南昌 330000
作者简介:
基金信息:
National Natural Science Foundation of China(52007009;52077189);Natural Science Foundation of Hunan Province(2020JJ5574);Provincial Education Department Excellent Youth Project(19B003)
CHEN Chun, PENG Yuyao, CAO Yijia, et al. Data-driven Method for Impedance Calculation and Temperature Rise Warning of Joint of Distribution Transformer[J]. High voltage apparatus, 2024, 60(11): 1-8.
DOI:
CHEN Chun, PENG Yuyao, CAO Yijia, et al. Data-driven Method for Impedance Calculation and Temperature Rise Warning of Joint of Distribution Transformer[J]. High voltage apparatus, 2024, 60(11): 1-8. DOI: 10.13296/j.1001-1609.hva.2024.11.001.
Data-driven Method for Impedance Calculation and Temperature Rise Warning of Joint of Distribution Transformer
In order to solve such safety hazard problem as aging of wire joint and serious partial temperature rise of partial distribution transformer in the distribution grid
which is occurred after long term operation and and is not found in time
a high-accuracy calculation model for the contact impedance of the three-phase four-wire system of distribution transformers is set up
and a data-driven early warning method for potential safety hazards of distribution transformers has been formed. The equivalent circuit model of the transformer in the three-phase four-wire system is used to construct the equivalent equation set for calculating the contact resistance. Since the number of variables of the equation set are greater than the number of equation set
the equation set model is specially converted into an optimized model for seeking the minimum value and the BFGS optimization algorithm is used to optimize the model iteratively. The long-term heating model under the maximum load current is used to set up the equivalent relationship between contact resistance and temperature
forming a hierarchical warning system of contact resistance. The effective-ness of the proposed method is verified by the field operating data of two actual stations in Jiangxi power grid of China.