Dynamic Pollution Prediction Model of Insulators Based on Atmospheric Environmental Parameters

• Main Authors: Siyi Chen, Zhijin Zhang
• Format: Article
• Language: English
• Published: MDPI AG 2020-06-01
• Series: Energies
• Subjects: dynamic pollution model; reference insulators; insulator structure coefficient; natural pollution tests; finite element method
• Online Access: https://www.mdpi.com/1996-1073/13/12/3066

Pollution-induced flashover is one of the most serious power accidents, and the pollution degree of insulators depends on atmospheric environmental parameters. The pollution models used in the power system research are usually static, but the environmental parameters are dynamic. Therefore, the study on the dynamic pollution prediction model is of great importance. In this paper, the dynamic pollution prediction model of insulators based on atmospheric environmental parameters was built, and insulators’ structure coefficients were proposed based on the model. Firstly, the insulator dynamic pollution model based on meteorological data (PM2.5, PM10, TSP (total suspended particulate), and wind speed) was proposed, and natural pollution tests were also conducted as verification tests. Furthermore, insulator structure coefficients <i>c</i>1, <i>c</i>2 (<i>c</i>1: pollution ratio of U210BP/170 to XP-160; <i>c</i>2: calculated pollution ratio of U210BP/170T to XP-160) were then obtained, and their influence factors were discussed. At last, insulator structure coefficients were calculated, and it can be seen that the calculated error of insulator structure coefficients was acceptable, with the average <i>re</i> (relative errors) at 9.0% (<i>c</i>1) and 13.5% (<i>c</i>2), which verifies the feasibility of the model. Based on the results in this paper, the NSDD (non-soluble deposit density) of insulators with different structures can be obtained using the insulators’ structure coefficient and the reference XP-160 insulator’s NSDD.