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Accurate time synchronization of power reference station based on BD3 system

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【论文推荐】广东电网 邹挺等:基于BD3系统的电力基准站精确时间同步

摘要

基于北斗三号(BD3)系统的电力基准站可以通过多跳路由方式向设备发送同步数据包,为配电系统提供高精度的时间同步。然而,优化路由选择以减少时间同步误差和时延是一个具有挑战性的问题。在本文中,我们建立了一个基于BD3的软件定义网络电力基准站时间同步框架。然后,制定了通过多跳选路优化最小化累积同步误差和时延的联合问题。提出了一种改进反向传播神经网络的智能时间同步路由选择算法BP-RS用以学习最优路由选择,利用BP神经网络动态调整勘探因子,实现快速收敛。仿真结果表明,BP-RS在同步时延、同步误差和对路由拓扑变化的适应能力等方面具有较好的性能。

Accurate time synchronization of power reference station based on BD3 system

基于BD3系统的电力基准站精确时间同步

Ting Zou1, Yuchen Huang1, Zhanqiang Cheng1, Jinshen Liu1, Hongwei Guo1

1.Guangdong Power Grid Co., Ltd.Shaoguan Power Supply Bureau, Shaoguan 512000, P.R.ChinaAccurate time Synchronization of Power References station

Abstract

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.

Keywords

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

Fig. 1 Scenario of SDN-enabled time synchronization for power reference station based on BD3 system

Fig. 2 Schematic diagram of the proposed BP-RS

Fig. 3 Flowchart of BP-RS

Fig. 4 Schematic of BP neural network-improved learning

Fig. 5 Performance comparison with fixed routing topology

Fig. 6 Performance comparison in a time-varying routing topology

Fig. 7 Weighted sum of synchronization delay and error comparison with N=20 and M= 8

本文引文信息

Ting Zou, Yuchen Huang, Zhanqiang Cheng, Jinshen Liu, Hongwei Guo (2023) Accurate time synchronization of power reference station based on BD3 system, Global Energy Interconnection, 6(3): 334-342

邹挺 黄玉琛 成展强 刘金深 郭红伟 (2023) 基于BD3系统的电力基准站精确时间同步. 全球能源互联网(英文), 6(3): 334-342

Biographies

Ting Zou

Ting Zou received his M.S.degree in Power Systems and Automation from the South China University of Technology, Guangdong, China.He is currently the General Manager of the System Operation Department of Guangdong Power Grid Co., Ltd.Shaoguan Power Supply Bureau, Shaoguan, China.His research interests include power communication, power grid operation, and power regulation.

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Yuchen Huang

Yuchen Huang received his M.S.degree in Electrical Engineering and Automation from the Northern University for Nationalities,Ningxia, China.He is currently the Dispatching Autonomous Specialist of the System Operation Department of Guangdong Power Grid Co., Ltd.Shaoguan Power Supply Bureau, Shaoguan, China.His research interests include power communication and power dispatch automation control.

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Zhanqiang Cheng

Zhanqiang Cheng received his M.S.degree in Electrical Engineering and Automation from North China Electric Power University,Beijing, China.He is currently the Main Grid Relay Protection Specialist of the System Operation Department of Guangdong Power Grid Co., Ltd.Shaoguan Power Supply Bureau, Shaoguan, China.His research interests include power communication and relay protection.

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Jinshen Liu

Jinshen Liu received his M.S.degree in Communication from Xiamen University,Xiamen, China.He is currently the Communication Technology Specialist of the System Operation Department of Guangdong Power Grid Co., Ltd.Shaoguan Power Supply Bureau, Shaoguan, China.His research interests include the power communication network technology.

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Hongwei Guo

Hongwei Guo received his M.S.degree in Electrical Engineering and Automation from Nanchang Institute of Technology, Nanchang,China.He is currently the Deputy Manager of Shaoguan Nanxiong Power Supply Bureau,Guangdong Power Grid Co., Ltd., Nanxiong,China.His research interest includes distribution network automation.

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审核:王   伟

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