摘要
电力光纤通信网络的实时性与同步性直接影响整个电网通信网络的效率,不合理处理电力光纤通信的时序特性可能导致电网设备之间的协同问题。本文旨在根据光纤传输波长,实现高精度时间信号的确定。首先,使用差分自回归移动平均算法模型(Autoregressive Integrated Moving Average Mode,ARIMA)对输入光纤数据进行时序排列,并计算波长与传输速度,以准确预测固定时间数据传输的节点。其次,应用极限学习算法(Extreme Learning Machines,ELM)对数据进行时空特征提取分析,确保不同来源的数据输入光纤时能够保持同步性,实现时间和空间的双重同步。最后,基于光纤的传输波长确定数据传输节点。实验分析结果表明,光纤数据传输可实现电网控制设备与调度指挥中心之间的高质量全时同步。
The real-time and synchronization of power fiber optic communication networks directly affect the efficiency of the entire power grid communication network.Unreasonable handling of the timing characteristics of power fiber optic communication may lead to collaboration issues between power grid equipment.This paper aims to achieve high-precision determination of time signals based on the wavelength of fiber optic transmission.Firstly,the differential autoregressive integrated moving average mode(ARIMA)is used to sequence the input fiber optic data and calculate the wavelength and transmission speed to accurately predict the nodes for fixed time data transmission.Secondly,extreme learning machines algorithm(ELM)is applied to extract and analyze spatiotemporal features of data,ensuring that data from different sources can maintain synchronization when input into optical fibers,achieving dual synchronization in both time and space.Finally,the data transmission node is determined based on the transmission wavelength of the optical fiber.The experimental analysis results indicate that fiber optic data transmission can achieve high-quality full-time synchronization between power grid control equipment and the dispatch and command center.
作者
李秋生
李伟
周冬旭
郭闯
靳文星
LI Qiusheng;LI Wei;ZHOU Dongxu;GUO Chuang;JIN Wenxin(Nanjing Power Supply Branch,State Grid Jiangsu Electric Power Co.Ltd.,Nanjing 210019,China;National Key Laboratory of Electromagnetic Energy,Naval University of Engineering,Wuhan 430033,China)
出处
《计算机与现代化》
2025年第1期74-79,119,共7页
Computer and Modernization
基金
国家自然科学基金青年基金资助项目(52007196)
国家电网公司科技项目(2202430)。
