针板缺陷下局部放电的严重程度分析
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摘要
高压开关柜在输配电系统的开关控制中起着至关重要的作用,通过状态监测识别其缺陷严重程度具有重要的工程意义。根据开关柜的常见放电情形,设计了模拟尖刺放电的针板缺陷模型,通过逐步升压法研究了局部放电图谱随缺陷严重程度的变化规律,并通过简化模型定量分析了局部放电发展过程中的电荷运动和电场分布规律。结果表明,该模型可有效刻画缺陷严重程度演变的本质,并提供了一种基于局部放电图谱的判别依据。研究成果可应用于实际工程中。
The HV switchgear is widely applied and plays a critical role in on-off control of entire power transmission and distribution system,which leads to important engineering significance of partial discharge(PD)level recognition through condition monitoring.To simulate the harsh discharge,the needle-plate discharge defect model was designed according to the most common PD conditions in switchgear.The variation of phased resolved partial discharge(PRPD)spectra with respective to different levels of PD were measured through gradually voltage-rising method,and a simplified model was established to quantitatively analyze the developing process of space charge movement and electric field distribution during PD.The results show that this model clearly revealed the underlying reasons for the PD level-dependent PRPD spectrum.Based on this analysis,a criterion of PRPD for PD level was proposed.The results can be applied to practical engineering.
The HV switchgear is widely applied and plays a critical role in on-off control of entire power transmission and distribution system,which leads to important engineering significance of partial discharge(PD)level recognition through condition monitoring.To simulate the harsh discharge,the needle-plate discharge defect model was designed according to the most common PD conditions in switchgear.The variation of phased resolved partial discharge(PRPD)spectra with respective to different levels of PD were measured through gradually voltage-rising method,and a simplified model was established to quantitatively analyze the developing process of space charge movement and electric field distribution during PD.The results show that this model clearly revealed the underlying reasons for the PD level-dependent PRPD spectrum.Based on this analysis,a criterion of PRPD for PD level was proposed.The results can be applied to practical engineering.
引文
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[2]刘益岑,黄忠康,周志强,等.开关柜内部绝缘缺陷的检测研究[J].水电能源科学,2015,33(9):181-183.
[3]杨洪,古世甫,谭乐.基于神经网络和证据理论的局部放电多特征融合识别[J].水电能源科学,2012,30(11):184-187.
[4] K Wang,R J Liao,L J Yang,et al.Optimal Features Selected by NSGA-II for Partial Discharge Pulses Separation Based on Time-frequency Representation and Matrix Decomposition[J].IEEE Trans.Dielectr.Electr.Insul.,2013,20(3):825-838.
[5]曾作薇.GIS局部放电综合识别方法研究[J].水电能源科学,2010,28(12):127-129.
[6]郑文栋,黄成军,杨宁,等.基于新型关联规则算法的开关柜局放程度分类研究[J].高压电器,2014,50(2):23-28.
[7]魏振,张强,齐波,等.高压开关柜典型缺陷局部放电TEV特征的研究[J].高压电器,2014,50(2):60-67.
[8]程养春,李成榕,岳华山,等.变压器油纸绝缘针板放电缺陷发展过程[J].高电压技术,2011,37(6):1 362-1 370.
[9] Nikonov V,Bartnikas R,Wertheimer M R.Surface Charge and Photoionization Effects in Short Air Gaps Undergoing Discharges at Atmospheric Pressure[J].Journal of Physics D:Applied Physics,2001,34(19):2 979-2 986.
[10]Trinh N G.Partial Discharge XIX:Discharge in Air Part I:Physical Mechanisms[J].IEEE Electrical Insulation Magazine,1995,11(2):23-29.