474 / 2022-03-15 23:40:38

Optimal deployment location of sensors in typical partial discharge defects of GIS

finite element model,GIS,partial discharge

With the development of power systems, it becomes critical to implement feasible and effective monitoring of power equipment. Gas-insulated switchgears (GIS) have the advantages of compact structure, small footprint, high reliability and flexible configuration, and play a pivotal role in the power system. Therefore, it is of great significance to analyze some problems by simulating GIS. Due to the different locations where the sensors are deployed, the detection signals at different locations may be attenuated. This paper firstly establishes an equivalent height simulation model for the sensor, and optimizes and adjusts its parameters. Secondly, Solidwork software is used to model the GIS in three dimensions. According to the discharge form and characteristics of the insulation defect of the GIS equipment, four GIS simulation models are designed. The physical model of partial discharge in the device is used to simulate its electromagnetic and other physical properties, and the simulation results are compared with the experimental results to find the optimal deployment position of the sensor, so as to better monitor the equipment online and maintain the power system.

In order to verify the finite element model and the optimized sensor locations. All data will be acquired in a 110kV GIS experimental platform. Five different typical GIS partial discharge defect models will be set up in the experimental platform, including floating potential discharge defect, insulation internal discharge defect, insulation creeping discharge defect, tip glitch discharge defect, free particle discharge defect. Embedded UHF, ultrasound and ultraviolet light sensors will be installed at the observation window of the GIS experimental platform. Joint measurement will be applied simutaniously for raw data acquisition and model validation. Different defect locations will be set up to verify the optimized sensor arrangement.

Moreover, based on the verfied sensor arrangement and the finite element model of the 110kV GIS experimental platform, random GIS partial discharge defects will be set up in the finite element model to test the robustness of the optimal deployment location of sensors in typical partial discharge defects of GIS.