Author:
Li Hongke,Xu Han,Wang Siyi,Zhai Yuxin,Liu Bokai
Abstract
Abstract
220 kV high-voltage submarine cables find extensive application in offshore wind power transmission systems. Ensuring the safe operation of these cables involves accurately detecting and assessing the extent of damage to the cable sheath. This study begins by constructing a finite element simulation model for the cable based on its actual model. Subsequently, a method for evaluating the cable sheath’s damage state is proposed by using a BP neural network. The network takes ambient temperature, current, and six-point temperatures of the damaged section as input characteristics. Results indicate a correct rate of 94.29% for the BP neural network, demonstrating its effective discrimination of cable sheath damage levels. This approach introduces a novel evaluation method for cable sheath damage.
Reference10 articles.
1. Ampacity Estimation for Submarine Power Cables Installed in Saturated Seabed-Experimental Studies [J];Duraisamy;IEEE Transactions on Industry Applications,2020
2. Fault detection and cause analysis of 500 kV cable outer sheath in Guangzhou Pumped Storage Power Plant A;Wang;power grid technology,2008
3. High Voltage Cable Outer Sheath Fault and Its Countermeasures;Liu;High Voltage Technology,2001
4. An overview of the current status of partial discharge measurements on AC high voltage cable accessories;Eigner;IEEE Electrical Insulation Magazine,2016
5. AC Voltage Withstand Test Method and Risk Suppression Measures of Energized GIS Based on Phase-frequency Control;Zhao;IEEE Transactions on Power Delivery,2021