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XP-160绝缘子直流快速积污过程仿真及分析 被引量:13

Simulation Study on Fast DC Contamination Process of XP-160 Insulator and Its Analysis
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摘要 与交流线路相比,直流线路的污秽外绝缘问题更为严重。综合考虑了电场、流场及污秽颗粒积聚/出射的微观过程,开展了直流电场下的绝缘子表面快速积污过程仿真,继而仿真分析了不同风速、粒径下的绝缘子表面污秽分布现象、污秽质量密度及积污带电系数。同时开展了绝缘子风洞积污试验,与仿真结果进行对比,验证了文中所提的绝缘子快速直流积污仿真方法。最后结合快速积污过程仿真,提出了无降雨大气污秽下的绝缘子直流积污预测方法并进行了验证。研究结果表明,快速积污过程仿真较好地体现绝缘子的带电积污特性;仿真计算得到的绝缘子污秽质量密度与实测结果的相对误差在25%范围内,带电积污比与实测结果基本一致。研究结果可为揭示绝缘子直流积污机理提供参考,并为线路运行维护提供依据。 Compared with AC transmission lines,external insulation pollution in DC lines is more serious.In this paper,electric field,flow field and the microscopic process of pollution particle accumulation/existance were considered comprehensively.Simulation of the fast contamination process on insulator surface under DC was carried out,and then the surface pollution distribution performance,the pollution deposit density and the DC pollution coefficient of insulators under different wind velocities and pollutant particle sizes were analyzed.Meanwhile,insulator wind tunnel test was carried out,and the simulation results were compared to verify validity of the fast DC contamination simulation method proposed in this paper.Finally,combined with the simulation of insulator fast DC contamination,a prediction method of insulator DC contamination under no-rain atmospheric pollution was proposed and verified.Research results indicate that,the simulation of the DC fast contamination process in this paper better reflects the actual performances of insulator contamination under DC.The relative error between the insulator surface pollution deposit density for simulation and that for experiment is about 25%.The DC contamination ratio is basically consistent with the experimental results.The research results provide a reference for revealing the DC contamination mechanism of insulators and a basis for transmission line operation and maintenance.
作者 张东东 张志劲 蒋兴良 张翼 乔新涵 倪喜军 ZHANG Dongdong;ZHANG Zhijin;JIANG Xingliang;ZHANG Yi;QIAO Xinhan;NI Xijun(Jiangsu Collaborative Innovation Center for Smart Distribution Network(Nanjing Institute of Technology),Nanjing 211167,Jiangsu Province,China;State Key Laboratory of Power Transmission Equipment&System Security and New Technology(Chongqing University),Shapingba District,Chongqing 400044,China)
出处 《电网技术》 EI CSCD 北大核心 2020年第2期791-798,共8页 Power System Technology
基金 江苏省自然科学基金项目(BK20181021) 南京工程学院高层次引进人才科研启动基金(YKJ201819) 江苏省配电网智能技术与装备协同创新中心开放基金(XTCX201902).
关键词 绝缘子 直流 积污 有限元仿真 积污预测 insulator DC contamination finite element simulation contamination prediction
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