(Peer-Reviewed) Data network traffic analysis and optimization strategy of real-time power grid dynamic monitoring system for wide-frequency measurements
Jinsong Li 李劲松 ¹ ², Hao Liu 刘灏 ¹, Wenzhuo Li 李文琢 ², Tianshu Bi 毕天姝 ¹, Mingyang Zhao 赵铭洋 ²
¹ State Key Lab of Alternate Electric Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, P. R. China
中国 北京 新能源电力系统国家重点实验室（华北电力大学）
² Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology (China Electric Power Research Institute), Beijing 100192, P. R. China
中国 北京 电力调度自动化技术研究与系统评价北京市重点实验室（中国电力科学研究院有限公司）
Abstract
The application and development of a wide-area measurement system (WAMS) has enabled many applications and led to several requirements based on dynamic measurement data. Such data are transmitted as big data information flow.
To ensure effective transmission of wide-frequency electrical information by the communication protocol of a WAMS, this study performs real-time traffic monitoring and analysis of the data network of a power information system, and establishes corresponding network optimization strategies to solve existing transmission problems.
This study utilizes the traffic analysis results obtained using the current real-time dynamic monitoring system to design an optimization strategy, covering the optimization in three progressive levels: the underlying communication protocol, source data, and transmission process. Optimization of the system structure and scheduling optimization of data information are validated to be feasible and practical via tests.
Separation and identification of mixed signal for distributed acoustic sensor using deep learning
Huaxin Gu, Jingming Zhang, Xingwei Chen, Feihong Yu, Deyu Xu, Shuaiqi Liu, Weihao Lin, Xiaobing Shi, Zixing Huang, Xiongji Yang, Qingchang Hu, Liyang Shao
Opto-Electronic Advances
2025-11-25
