一种基于泄漏电流的直流绝缘子污秽预警装置

ontamination is one of the important factors affecting the insulation state of the insulator. The DC insulator has a high accumulation rate of dirt and is more likely to cause pollution flash. In order to study and monitor the pollution state of the DC insulator, the equivalent salt density and equivalent gray density of the DC insulator of the converter station are measured and statistically analyzed, and the pollution accumulation characteristics are analyzed. The analysis results show that the DC insulator has a high voltage end. The contamination is more serious than the low pressure end, and the contamination of the upper surface is more serious than the lower surface. A DC insulator contamination warning device based on leakage current is designed. The relationship between the leakage current characteristic quantity and the pollution degree is constructed by artificial neural network. The test results show that the device can effectively provide early warning, which provides a reference for monitoring the running state of the insulator and ensuring the normal operation of the equipment。