Comparison of Substation Grounding Grid Fault Diagnosis Results Using Surface Potential and Magnetic Induction Intensity
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Comparison of Substation Grounding Grid Fault Diagnosis Results Using Surface Potential and Magnetic Induction Intensity
Vol. 42, Issue 7, Pages: 2281-2289(2016)
作者机构:
1. 上海交通大学电力传输与功率变换控制教育部重点实验室
2. 深圳供电局有限公司
作者简介:
基金信息:
DOI:
CLC:
Published Online:31 July 2016,
Published:2016
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WANG Fenghua, WANG Shaojing, LIU Yadong, et al. Comparison of Substation Grounding Grid Fault Diagnosis Results Using Surface Potential and Magnetic Induction Intensity[J]. 2016, 42(7): 2281-2289.
DOI:
WANG Fenghua, WANG Shaojing, LIU Yadong, et al. Comparison of Substation Grounding Grid Fault Diagnosis Results Using Surface Potential and Magnetic Induction Intensity[J]. 2016, 42(7): 2281-2289.DOI:
Comparison of Substation Grounding Grid Fault Diagnosis Results Using Surface Potential and Magnetic Induction Intensity
To improve accuracy of fault diagnosis of substation grounding grid
we have designed and customized a random form grounding grid model of a 35 k V substation based on dimensional similarity principle. According to the calculation results of the surface potential and magnetic induction intensity of the grounding grid
the test results of typical faults diagnosis of grounding grid based on surface potential and magnetic induction intensity are compared by simulating typical faults. The change rules of surface potential and magnetic induction intensity when grounding grid has typical faults are also summarized. A judging rule of grounding grid state is proposed based on the grey relational degree theory according to the change rules. The results show that the surface potential of conductors’ nodes is higher
and the surface potential of mesh is lower. The magnetic induction intensity is larger
and the magnetic induction intensity of the current injection point is the largest. The proposed judging rule can be used to diagnose the grounding grid’s fault type and location accurately.