负极性直流局部放电下SF_6分解特性
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  • 英文篇名:SF_6 Decomposition Characteristics Under Negative DC Partial Discharge
  • 作者:朱宁 ; 雷志城 ; 徐肖庆 ; 唐炬 ; 曾福平
  • 英文作者:ZHU Ning;LEI Zhicheng;XU Xiaoqing;TANG Ju;ZENG Fuping;Kunming Power Supply Bureau of Yunnan Electric Power Grid Co., Ltd.;School of Electrical Engineering and Automation, Wuhan University;
  • 关键词:负极性直流 ; 局部放电 ; SF6分解组分 ; 特征量
  • 英文关键词:negative DC;;PD;;SF6decomposition components;;characteristic variable
  • 中文刊名:JYCT
  • 英文刊名:Insulating Materials
  • 机构:云南电网有限责任公司昆明供电局;武汉大学电气与自动化学院;
  • 出版日期:2019-02-21 17:04
  • 出版单位:绝缘材料
  • 年:2019
  • 期:v.52
  • 基金:国家重点研发计划项目(2017YFB0902705);; 国家自然科学基金资助项目(51607127)
  • 语种:中文;
  • 页:JYCT201902011
  • 页数:7
  • CN:02
  • ISSN:45-1287/TM
  • 分类号:64-69+75
摘要
为了获取和掌握不同类型负极性直流局部放电(PD)下SF_6气体绝缘介质的分解特性,利用SF_6直流PD分解实验平台,对自制的4种典型绝缘缺陷模型(金属突出物、自由导电微粒、绝缘子表面污秽和绝缘子气隙)进行PD实验。结果表明:4种绝缘缺陷引起的负极性直流PD均会使SF_6分解生成CF_4、CO_2、SO_2F_2、SOF_2和SO_2等5种稳定组分,SF_6分解组分的含量、有效产气速率和含量比值与PD类型之间均存在一定关联;在4种缺陷下,以c(SOF_2+SO_2)/c(SO_2F_2)、ln(c(CO_2)/c(CF_4))和c(SOF_2+SO_2F_2+SO_2)/c(CF_4+CO_2)作为特征量,区别较为明显,且特征比值曲线没有出现任何交叉,因此适合识别不同类型的绝缘缺陷。
        In order to obtain and master the decomposition characteristics of SF_6 insulating gas under different types of negative DC partial discharge(PD), four typical types of artificial insulation defect models(metal protrusion, free conductive particles, surface pollution on insulator, and air gap in insulator)were conducted PD experiments on DC PD decomposition experiment platform of SF_6. The results show that all the negative DC PD caused by the four insulation defects can make SF_6 decompose to five stable components including CF_4, CO_2, SO_2F_2, SOF_2, and SO_2. There are some relevance among the content of SF_6 decomposition components, effective gas production rate, concentration ratio, and PD types. The four defects have obvious distinction using c(SOF_2+ SO_2)/c(SO_2F_2), ln(c(CO_2)/c(CF_4)), and c(SOF_2+ SO_2F_2+SO_2)/c(CF_4+CO_2) as characteristic variables, and there is any crossover on the characteristic ratio curves.Therefore, the three characteristic variables are suitable to identify different types of insulation defects.
引文
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