TAI Chengfan, NIU Bo, WANG Dongfang, et al. Research on multi-parameter fusion detection technology for partial discharge in gas-insulated switchgear[J]. Ningxia Electric Power, 2024, (5).
TAI Chengfan, NIU Bo, WANG Dongfang, et al. Research on multi-parameter fusion detection technology for partial discharge in gas-insulated switchgear[J]. Ningxia Electric Power, 2024, (5).DOI: 10.3969/j.issn.1672-3643.2024.05.005.
In order to evaluate the insulation condition of gas-insulated switchgear(GIS)during operation and avoid the limitations of single partial discharge detection methods in terms of accuracy and sensitivity
this paper proposes a multi-parameter fusion detection device for GIS based on the pulse current method and gas detection method.First
the principle of the multi-parameter fusion detection device for GIS is analyzed
and the types of gas that may be produced under the thermal effect during partial discharge and their variation patterns are analyzed.Then
the implementation method of the multi-parameter fusion detection device is described.Finally
the multi-parameter fusion detection device is applied to GIS
and a fault simulation experiment is designed to verify its effectiveness.The results show that the multi-parameter fusion detection device for GIS based on the pulse current method and gas detection method can effectively measure the partial discharge pulse signal of GIS under operating conditions
with a minimum partial discharge detection sensitivity of ≤38.6 pC.It can effectively monitor the characteristic gases
such as total non-methane hydrocarbons
nitrogen dioxide
and nitric oxide
generated due to insulation faults in GIS
realizing effective monitoring and early warning of the insulation deterioration process in operating GIS.