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1.武汉大学电气与自动化学院,武汉 430072
2.武汉大学电网环境保护全国重点实验室,武汉 430072
3.南方电网广东中山供电局,广东 中山 528400
侯澳港(1999—),男,硕士研究生在读,主要研究方向为电力设备热点温度反演及动态载流量预测(E-mail:houaogang@whu.edu.cn)。
董旭柱(1970—),男,教授,博士生导师,研究方向为计算高电压技术、智能配电网和设备资产管理等(E-mail:dongxz@whu.edu.cn)。
阮江军(1968—),男,教授,博士生导师,主要研究方向为多物理场仿真、电力设备状态检测(E-mail:ruan308@126.com)。
纸质出版日期:
移动端阅览
侯澳港, 董旭柱, 阮江军, 等. 基于主热流分析的三芯电缆接头热点温度反演辨识方法及试验验证[J/OL]. 高压电器, 2025,1-13.
HOU Aogang, DONG Xuzhu, RUAN Jiangjun, et al. Inversion Identification Method and Experimental Verification of Hot Spot Temperature in Three-core Cable Joints Based on Main Heat Flow Analysis[J/OL]. High voltage apparatus, 2025, 1-13.
侯澳港, 董旭柱, 阮江军, 等. 基于主热流分析的三芯电缆接头热点温度反演辨识方法及试验验证[J/OL]. 高压电器, 2025,1-13. DOI:
HOU Aogang, DONG Xuzhu, RUAN Jiangjun, et al. Inversion Identification Method and Experimental Verification of Hot Spot Temperature in Three-core Cable Joints Based on Main Heat Flow Analysis[J/OL]. High voltage apparatus, 2025, 1-13. DOI:
电力电缆由电缆本体和电缆接头组成,电缆接头内部的温升是影响电力电缆线路载流能力的关键因素。针对电缆接头材料参数分散性大和热流扩散规律不明显等问题,文中提出了一种基于主热流分析的电缆接头热点温度反演辨识方法,以准确辨识接头内部的热点温度。首先建立了10 kV三芯电缆及接头的有限元仿真计算模型,得到温度场分布规律。其次通过分析电缆接头的热流扩散规律,建立了电缆本体的热路模型,并采用正交试验法设计训练样本和测试样本,确定了距离接头端部0.1 m和2.0 m的2个导体特征温度点,从而构建了本体径向反演和导体轴向反演的接头热点温度组合反演方法。最后搭建了电缆多工况温升试验平台,在不同负载、外界风速和环境温度下,试验结果表明热点温度仿真值与试验值最大误差为2.29 K,稳态时热点温度反演值与试验值最大误差为3.92 K,为电缆接头热故障监测方法提供了参考。
Power cables are composed of the cable body and cable joints
and the temperature rise inside the cable joints is a key factor affecting the current carrying capacity of power cable lines. In response to the problems of large disper-sion of cable joint material parameters and unclear heat flow diffusion law
this paper proposes a cable joint hot spot temperature inversion identification method based on main heat flow analysis to accurately identify the hot spot temperature inside the joint. Firstly
a finite element simulation calculation model for 10 kV three core cables and joints was established to obtain the temperature field distribution pattern. Secondly
by analyzing the heat flow diffusion law of cable joints
a thermal path model of the cable body was established. Orthogonal experimental method was used to design training and testing samples
and two conductor characteristic temperature points at distances of 0.1 m and 2.0 m from the end of the joint were determined. Therefore
a joint hot spot temperature combination inversion method for radial and axial inversion of the body was constructed. Finally
a multi condi-tion temperature rise test platform for cables was built. Under different loads
external wind speeds
and environ-mental temperatures
the test results showed that the maximum temperature difference between the simulated and experimental values of the hot spot temperature was 2.29 K
and the maximum error between the inversion value of the hot spot temperature and the experimental value was 3.92 K. This provides a reference for the monitoring method of cable joint thermal faults.
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