Electric Equipment Ultraviolet Discharge Detection And The Method Research Of Discharge Intensity Evaluation

Ultraviolet(UV) light is radiated by electrical equipment partial discharge. The solar bland UV light can be detected to analyze the discharge phenomenon and discover the insulation defects timely, which is very valuable to prevent engineering accidents. The partial discharge detection technology based on detection UV has been researched in aspect of theory and practical applications. But the accuracy, sensitivity of UV detection and evaluation of discharge intensity need to be studied deeply. Based on the principle of UV discharge detection, the discharge detection feature of blind UV-sensitive tube was analyzed, drive circuit of UV tube was optimized, Ultraviolet discharge detection system was designed, AC corona discharge experiments was conducted, and the evaluation method of UV discharge intensity was proposed on the basis of ANFIS algorithm. The main work are as the followings:(1) On the basis of the researches of others, what influenced detecting sensitivity of Solar bland UvtronR2868 was found. The drive circuit of the UV sensitive tube was optimized to improve the detection sensitivity and accuracy. A stable UV pulse signal has been obtained, amplitude of that is about 4V.(2) The discharge ultraviolet detecting system was designed with virtual instrument technology. A hardware module has been done with USB3200 core and a software module for acquiring UV pulse signal has been developed with LabVIEW programming. Discharge test was made to show that the system has good linearity and sensitivity.(3) Some AC corona discharge experiments was conducted with the typical needle-plate corona discharge model. Experimental results show that the number of UV pulse can effectively reflect the intensity of the discharge and the discharge phase, that the resolution of the UV sensitive tube is higher with the discharge experiment of different needle plate number.(4) Through contrast experiment with the traditional pulse current method, the results showed that the sensitivity of UV detection is higher than pulse current detection, and the phase is consistent. At the same time, the data fitting curves show a linear correlation degree for different strength of corona discharge.(5) Through a large number of experimental data to analyze the function relationship between the UV pulse density, detection distance, intensity of discharge. ANFIS algorithm is used to construct the evaluation model of discharge intensity, and the model is verified by the actual test data. The results show that the model is consistent with the theory, and it has a certain degree of accuracy. So, it can be used for the assessment of the discharge intensity of electrical equipment by providing the basis for judging the intensity of the discharge device and the protection of power system with maintenance.