The mixed-voltage multi-circuit transmission line on the same tower effectively solves the problems faced by line transformation and construction under the condition of increasingly scarce transmission corridors, but it will produce strong electromagnetic coupling and electrostatic coupling, causing large induced voltage and current , has brought new challenges to the construction and transformation of the line. In order to ensure that the parameters of the GIS equipment in the station are selected reasonably and the operation is stable and reliable, it is necessary to carry out simulation calculation research and make predictions for its different operating conditions. This paper uses ATP-EMTP simulation software to simulate a 500kV multi-circuit transmission line on the same tower, and uses a ridge regression model based on sklearn machine learning algorithm to predict the induced voltage and current, and provides equipment selection for Zhongxing Penglai power plant to Yantai 500kV switchyard reference basis.

ATP-EMTP simulation,induced current,inductive voltage,multi-circuit transmission lines,ridge regression