基于温度变化影响的电力电缆故障率测算方法

A Method of Calculating Fault Rate of Power Cables Based on the Influence of Temperature Changes

热瞬态会导致电力电缆内部温度的突然升高,进而引发故障。为此,提出一种基于温度变化影响的电力电缆故障率测算方法,充分考虑热瞬态对电缆故障率测算的影响,建立神经网络模型对电力电缆故障率进行计算。仿真结果表明,相较于电力电缆故障率额定值,该方法测算的结果更接近电力电缆故障率的真实值,能更加精准地测算电力电缆故障率,确保电网的稳定、高质量供电。

Thermal transients can cause a sudden increase in internal temperature of power cables,leading to faults.In view of this,the present work studied a method for calculating failure rate of power cables based on the influence of temperature changes.By fully considering the impact of thermal transients on calculation of cable failure rate,a neural network model was established to calculate the failure rate of power cables.The proposed method was verified by simulation analysis capable of obtaining results closer to true value compared with rated value of failure rate,and hence more accurate in calculating failure rate of power cables and helpful to ensuring stable and high-quality power supply.