氧化锌避雷器绝缘老化与检测技术实验研究

Experimental study on insulation aging and detection technology of zinc oxide arrester

为了对避雷器在运行过程中的绝缘状态进行评估,文中在实验室搭建了避雷器高压实验系统,模拟避雷器运行工况老化,测试电压5 kV~13.6 kV,温度为20℃~60℃,相对湿度为20%~80%,盐密度为20 g/L~160 g/L。此外,对避雷器在200℃下进行了100 h加速热老化实验。实验过程中实时监测氧化锌避雷器泄漏电流及其阻性分量,并以其为主要特征量,建立BP神经网络模型,以泄露电流及其阻性分量和环境变量作为输入量,绝缘状态为输出量,对避雷器老化过程中的绝缘状态进行评估。实验测试结果表明,该模型对绝缘状态评估的相对误差在1%以下,并能有效去除环境因素对避雷器绝缘状态评估的干扰。

In order to evaluate the insulation state of the arrester during operation,a high-voltage experimental system of arrester is set up in the laboratory to simulate the aging of arrester under operating conditions.The test voltage is 5 kV~13.6 kV,the temperature is 20℃~60℃,the relative humidity is 20%~80%,and the salt density is 20 g/L~160 g/L.In addition,the 100 h accelerated thermal aging test of arrester is carried out at 200℃.Moreover,the leakage current and its resistance component of zinc oxide arrester are monitored in real time and taken as the main characteristic quantity.The BP neural network model is established.The leakage current and its resistance component and environmental variables are taken as the input quantity and the insulation state is taken as the output quantity to evaluate the insulation state during the aging process of arrester.The experimental results show that the relative error of the model is less than 1%,and it can effectively remove the interference of environmental factors on the evaluation of the insulation state of the arrester.