ZHAO Long, ZHANG Tian, HUANG Xinbo, et al. Research on the State-aware Technology of Smart Transmission Line Tension Splice Connector[J]. High voltageapparatus, 2020, 56(9): 114-121+128.
ZHAO Long, ZHANG Tian, HUANG Xinbo, et al. Research on the State-aware Technology of Smart Transmission Line Tension Splice Connector[J]. High voltageapparatus, 2020, 56(9): 114-121+128. DOI: 10.13296/j.1001-1609.hva.2020.09.017.
Research on the State-aware Technology of Smart Transmission Line Tension Splice Connector
With the construction of ubiquitous electric Internet of things
the requirements of building smart transmission lines is put forwarded.As an important armour clampe for HVDC(high-voltage direct current) transmission lines
the tension splice connector will deform under the action of vibration
heat
stress and other factors
which affects the safety of transmission line.To solve this problem
we propose a state-aware technology for HVDC transmission line tension splice connector in this paper.Firstly
the capacitance deformation model is built and the law of capacitance change caused by the bending deformation of capacitor plate is analyzed.Secondly
the stress of the tension splice connector after deformation is simulated by using the finite element method
and the range of monitoring the tension splice connector deformation value is selected.Thirdly
the capacitance with different deformation is simulated in electrostatic field
and it is found that the relationship between the deformation value and the capacitance is quadratic function.Finally
the tension splice connector state-aware system is designed in detail from three aspects:sense node
edge node and cloud service platform.The sense node is integrated on the tension splice connec--or
which measures the capacitance value change caused by the deformation of the splice tube and sends the data to the edge node through LoRa.After receiving data from multiple sense nodes
the edge node calculates the amount of deformation and sends it to the cloud platform through 4 G.The cloud platform collects all data and displays it in the background