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基于失效时间统计特性的交联聚乙烯电寿命模型修正

Modification of Cross-Linked Polyethylene Electrical Life Model Based on Statistical Characteristics of Failure Time

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【作者】 王国栋周凯李原李诗雨傅尧

【Author】 Wang Guodong;Zhou Kai;Li Yuan;Li Shiyu;Fu Yao;College of Electrical Engineering Sichuan University;State Grid Leshan Power Supply Company;

【通讯作者】 李原;

【机构】 四川大学电气工程学院国网四川省电力公司乐山供电公司

【摘要】 为提高电缆绝缘材料电寿命评估的准确性,根据交联聚乙烯(XLPE)失效时间统计特性,对传统基于反幂定律的XLPE电寿命模型进行修正。首先对XLPE薄片样本进行电压耐久性实验,统计不同电场强度作用下XLPE失效时间。其次分析XLPE薄片样本失效时间统计特性,结果表明在相同电场强度作用下,XLPE失效时间大致分布在三个时间区间内,不同时间区间对应不同绝缘失效过程,电场强度不同时,占主导地位的失效过程也不相同。最后用处于主导地位失效过程样本的失效时间代表该电场强度下XLPE薄片样本的电寿命,由此得到修正后的XLPE电寿命模型。相较于传统电寿命模型,修正后的模型从失效时间统计特性的角度出发,确定了E-t特性曲线中拐点的位置。

【Abstract】 With the development of power system, the transmission voltage level of cable is continuously improved, and electrical stress plays a more and more important role in the failure process of cross-linked polyethylene(XLPE) insulation. It is necessary to deeply study the electrical aging life of XLPE. However, the influence of electrical stress on the performance of insulating materials is distributed in a probabilistic manner.Even under the same experimental condition, the insulation failure time of the samples also has a large dispersion.To improve the accuracy of electrical life assessment of cable insulation material, this paper modifies the traditional XLPE electrical life model based on the inverse power law according to the statistical characteristics of XLPE failure time.First, the voltage endurance test was carried out on the XLPE sheet samples, and the failure time of XLPE under the action of different field strengths is counted. The XLPE sheet samples for the study was provided by a cable manufacturer with a size of 200 mm×200 mm×1 mm. According to the samples power frequency field strong breakdown test results and the standard GB/T 29311, the voltage endurance test field intensities were determined to be 36 kV/mm, 33 kV/mm, 32 kV/mm, 30 kV/mm and 28 kV/mm respectively.Secondly, according to the voltage endurance test results, the statistical characteristics of the failure time of XLPE sheet samples were analyzed. In order to reduce the impact of subjective factors on the results, density based spatial clustering of applications with noise(DBSCAN) algorithm was used to divide the samples failure time according to the distribution concentration of data points. The results show that under the same field intensity, the failure time of XLPE was roughly distributed in three time intervals. The relationship between samples failure time and electric field intensity was analyzed. Combined with the observation results of material micro morphology, it can be seen that different failure time intervals of XLPE correspond to different insulation failure processes. When the electric field intensity was different, the dominant failure process was also different.Finally, the traditional XLPE electrical life model based on the inverse power law was modified according to the statistical characteristics of the failure time of the XLPE sheet samples. The failure time of the dominant failure process samples was used to represent the electrical life of the XLPE sheet samples under the field intensity, and the modified XLPE electrical life model was obtained.Compared with the traditional electric life model, the modified model determines the position of the inflection point in the E-t characteristic curve from the perspective of the statistical characteristics of the failure time. According to the modified model, when the electric field intensity E≥32 kV/mm, the XLPE life index n1=20.73; When the electric field intensity E<32 kV/mm, the XLPE life index n2=28.45.

【基金】 国家自然科学基金资助项目(51877142)
  • 【文献出处】 电工技术学报 ,Transactions of China Electrotechnical Society , 编辑部邮箱 ,2023年04期
  • 【分类号】TM24;TQ325.12
  • 【下载频次】56
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