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作 者:Ting Zou Yuchen Huang Zhanqiang Cheng Jinshen Liu Hongwei Guo
机构地区:[1]Guangdong Power Grid Co.,Ltd.Shaoguan Power Supply Bureau,Shaoguan 512000,P.R.China
出 处:《Global Energy Interconnection》2023年第3期334-342,共9页全球能源互联网(英文版)
基 金:supported by the Science and Technology Project of the China Southern Power Grid Company Limited under grant number GDKJXM20202032。
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.
关 键 词:Beidou 3 system Time synchronization Power reference station Back propagation neural network-improved intelligent route selection
分 类 号:TM73[电气工程—电力系统及自动化] TN967.1[电子电信—信号与信息处理]
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