Accurate time synchronization of power reference station based on BD3 system

作     者：Ting Zou Yuchen Huang Zhanqiang Cheng Jinshen Liu Hongwei Guo Ting Zou;Yuchen Huang;Zhanqiang Cheng;Jinshen Liu;Hongwei Guo

作者机构：Guangdong Power Grid Co.Ltd.Shaoguan Power Supply BureauShaoguan 512000P.R.China 

出 版 物：《Global Energy Interconnection》 (全球能源互联网（英文版）)

年 卷 期：2023年第6卷第3期

页      面：334-342页

核心收录：

学科分类：0810[工学-信息与通信工程] 0711[理学-系统科学] 0808[工学-电气工程] 080802[工学-电力系统及其自动化] 08[工学] 0804[工学-仪器科学与技术] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the Science and Technology Project of the China Southern Power Grid Company Limited under grant number GDKJXM20202032。 

主　　题：Beidou 3 system Time synchronization Power reference station Back propagation neural network-improved intelligent route selection 

摘      要：A Beidou 3(BD3)system-based power reference station can provide high-precision time synchronization for power distribution systems by sending synchronization data packets to devices in a multi-hop routing fashion.However,optimizing route selection to reduce both time synchronization error and delay is a challenging problem.In this paper,we establish a software-defined network-enabled power reference station time synchronization framework based on BD3.Then,we formulate the joint problem to minimize cumulative synchronization error and delay through multi-hop route selection optimization.A back propagation(BP)neural network-improved intelligent time synchronization route selection algorithm named BP-RS is proposed to learn the optimal route selection,which uses a BP neural network to dynamically adjust the exploration factor to achieve rapid convergence.Simulation results show the superior performance of BP-RS in synchronization delay,synchronization error,and adaptability with changing routing topologies.