Prediction of Induced Voltage and Current of 500kV Multi-circuit Transmission Lines Based on Extreme Random Tree Algorithm
ID：178
Submission ID：175 View Protection：ATTENDEE
Updated Time：2021-12-03 10:45:08 Hits：364
Poster Presentation
Start Time：2021-12-17 15:20 （Asia/Shanghai）
Duration：5min
Session：[Z] Poster Session » [Z4] Poster Session 4: High voltage and insulation technology
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Abstract
Taking Shandong Power Grid’s Yantai 500 kV switch station--Zhongxing Penglai Power Plant’s multi-circuit transmission line on the same tower as an example, a multi-circuit transmission line model on the same tower was established to study the induced voltage and induced current between the multi-circuit transmission lines. Under the above conditions, a digital simulation of the power system is carried out. Through calculation and analysis, the factors that affect the magnitude of the induced voltage and induced current between the circuits when the multi-circuit transmission line is erected on the same tower are obtained. Based on these influencing factors, the use of machine learning algorithms to quickly and accurately predict the magnitude of the induced voltage and induced current is of great significance for judging the insulation requirements of switchgear for switching induced currents and the selection of grounding switches.
Keywords
induced current,induced voltage,machine learning,multi-circuit lines on the same tower,simulation calculation
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