Data network traffic analysis and optimization strategy of real-time power grid dynamic monitoring system for wide-frequency measurements

Global Energy Interconnection

Hao Liu¹  Tianshu Bi²  Jinsong Li³  Mingyang Zhao³  Wenzhuo Li³ 

[1] Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology (China Electric Power Research Institute), Beijing 100192, PR China;Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology (China Electric Power Research Institute), Beijing 100192, PR China;State Key Lab of Alternate Electric Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, PR China;

关键词: Power system;    Data network;    Wide-frequency information;    Real-time system;    Traffic analysis;    Optimization strategy;   

DOI  :  

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown