摘要
针对电力电缆温度远程自动化控制的需求,设计了一套基于AI的智能控制系统。该系统采用深度学习算法建立温度预测模型,并利用强化学习算法优化控制策略。通过仿真实验,验证了该系统在复杂工况下对电缆温度的精准控制能力,为智能电网的安全高效运行提供了新思路。
A set of intelligent control system based on artificial intelligence has been designed to meet the demand for remote automation control of power cable temperature.The system uses deep learning algorithms to establish a temperature prediction model and utilizes reinforcement learning algorithms to optimize control strategies.Through simulation experiments,the precise control ability of the system for cable temperature under complex working conditions has been verified,providing new ideas for the safe and efficient operation of smart grids.
作者
门施萌
MEN Shimeng(State Grid Tianjin Dongli Power Supply Branch,Tianjin 300000,China)
出处
《自动化应用》
2024年第23期13-15,共3页
Automation Application
