基于LSTM的光纤复合架空相线分布式应力监测模型研究  

Research on Distributed Stress Monitoring Model of Overhead Fiber Composite Phase Line Based on LSTM Algorithm

作　　者：王尤刚 WANG Yougang(Liupanshui Power Supply Bureau,Guizhou Power Grid Co.,Ltd.,Liupanshui 553000,Guizhou,China)

机构地区：[1]贵州电网有限责任公司六盘水供电局,贵州六盘水553000

出　　处：《电力大数据》2023年第11期33-40,共8页Power Systems and Big Data

摘　　要：本文针对输电架空线路在线监测问题,提出了一种基于LSTM算法的光纤复合架空相线分布式应力检测方法。该方法利用光纤复合架空相线中的通讯光纤,通过刻录光纤光栅,使其具备传感能力,将分布式应力监测问题转化为模型回归问题。同时考虑到光纤传感器的线性分布特点,利用LSTM进行特征学习,训练得到分布式应力传感监测模型。经实验论证,该模型能够很好地实现对导线的分布式应力检测,其均方根误差为1.023,对应应力大小的检测结果平均检测误差为2.032N,应力位置的平均检测误差为1.41mm。相较于基于ELM、SVM方法的检测结果,本方法有一定提升,为光纤复合架空相线分布式应力监测提供了新思路。In this paper,we propose a distributed stress detection method for overhead power transmission lines based on the LSTM algorithm.The method utilizes communication fibers in the fiber composite overhead phase line and records fiber gratings to enable transmission capabilities,transforming the distributed stress monitoring problem into a model regression problem.Considering the linear distribution characteristics of fiber sensors,LSTM is used for feature learning and training to obtain the distributed stress sensing monitoring model.Experimental results demonstrate that this model can effectively detect the distributed stress of the conductor,with a root mean square error of 1.023.The average detection error for stress magnitude is 2.032N,and the average detection error for stress position is 1.41mm.Compared to results obtained using ELM and SVM methods,this approach shows improvement and provides a new direction for distributed stress monitoring of fiber composite overhead phaselines.

关 键 词：光纤复合架空相线 在线监测 长短时记忆网络 

分 类 号：TM752[电气工程—电力系统及自动化]