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Study on the Force and Motion Characteristics of Contamination Particles around the High Voltage End of 750kV Insulator

Abstract— In order to investigate the force and motion characteristics of contamination particles under the effect of electric force and air drag force near the 750kV insulator, the simulation model of 750kV composite insulator at high voltage end was established. By the finite element method, the electric field was calculated, the steady turbulent flow field near the insulator high voltage end was simulated. The contamination particles were uniformly charged, the gravity and the computed results of electric field and fluid field were loaded on them. The trajectories of contamination particles were gained. It is found that the influence of AC electric force on the movement of contaminated particles can be neglected when the particle charge is too less. As the charge gradually increases, the magnitude of electric force and drag force is increased both, in addition, the shape of statistical force curves have converged gradually, while the probability of particles contacted insulator surfaces is increased too. After reaching a certain level the quantities of electric charge on particle, the contact probability decreases with the increasing charge. Only the charge on contaminated particles varying in a certain range, it has positive correlation between particle charge Q and contact probability Pct.

Index Terms— 750kV insulator, electric force, air drag force, motion of contamination particle, contact probability, multi-physics field

Bo Wang, Bin Chang, Yi-Ping Wang
Electric Power Research Institute, State Grid Ningxia Electrical Power Company, CHINA
Bo Wang, Gong-Da Zhang
School of Electrical Engineering, Wuhan University, CHINA
Jian-Jun Hu
State Grid Yinchuan Power Supply Company, State Grid Ningxia Electrical Power Company, CHINA

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Cite: 作者, "Study on the Force and Motion Characteristics of Contamination Particles around the High Voltage End of 750kV Insulator," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 95-99, Beijing, 25-27 June, 2017.