Multiple satellite and ground clock sources-based high-precision time synchronization and lossless switching for distribution power system

被引:1
|
作者
Liu, Pengju [1 ]
Zhang, Sunxun [1 ]
Zhou, Zhenyu [1 ,3 ]
Lv, Lei [2 ]
Huang, Lin [2 ]
Liu, Jiayu [2 ]
机构
[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewable, Beijing, Peoples R China
[2] State Grid Sichuan Elect Power Corp, Informat & Commun Co, Chengdu, Peoples R China
[3] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewable, Beijing 102206, Peoples R China
关键词
distribution networks; power grids; timing; synchronisation; DELAY;
D O I
10.1049/cmu2.12677
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Precise energy management in distribution power system requires high-precision time synchronization among large-scale deployed devices. Multiple clock sources-based time synchronization possesses advantages of reliability, high precision, and robustness, but still faces several challenges such as coupling between time synchronization error and delay, as well as different timescales between clock source and clock weight optimization. In this paper, a multi-clock source time synchronization model is constructed and a problem is formulated to minimize the synchronization error and delay through jointly optimizing large-timescale clock source selection and small-timescale weight selection. A reinforcement learning-based multi-timescale multi-clock source time synchronization algorithm named RL-M2 is proposed to solve the formulated problem from a learning perspective. Besides, a lossless switching method is proposed to address the switching problem for multiple clock sources. Simulation results demonstrate the superior performance of RL-M2 and the lossless switching method in time synchronization delay and error. In this paper, we construct a multi-clock source time synchronization model and formulate a problem to minimize the synchronization error and delay through jointly optimizing large-timescale clock source selection and small-timescale weight selection. A reinforcement learning-based multi-timescale multi-clock source time synchronization algorithm named RL-M2 is proposed to solve the formulated problem from a learning perspective. Besides, a lossless switching method is proposed to address the switching problem for multiple clock sources.image
引用
收藏
页码:2041 / 2052
页数:12
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