Data network traffic analysis and optimization strategy of real-time power grid dynamic monitoring system for wide-frequency measurements
2022-05-31
【论文推荐】华北电力大学 李劲松等：面向宽频测量的电力系统实时动态监测系统数据网络流量分析及优化策略
摘要
广域测量系统WAMS(Wide Area Measurement System)的应用与发展催生了诸多基于动态量测数据的应用与需求，动态量测数据以大数据信息流形式完成传输，为了确保承载WAMS系统的通信协议对宽频段电气信息的有效传输，本文对面向宽频测量的电力信息系统的数据网络开展实时流量监控分析，提出相应的网络优化策略，以解决通信网络目前面临的传输问题。依托实时动态监测系统的流量分析结果设计优化策略，涵盖底层通信协议，源端数据，传输过程三个递进层面的优化内容，形成了一套完整的数据网络优化架构，对宽频测量电力系统的结构优化及数据信息的调度优化具有重要意义。
Data network traffic analysis and optimization strategy of real-time power grid dynamic monitoring system for wide-frequency measurements
面向宽频测量的电力系统实时动态监测系统数据网络流量分析及优化策略
Jinsong Li1,2, Hao Liu1, Wenzhuo Li2, Tianshu Bi1, Mingyang Zhao2
(1. State Key Lab of Alternate Electric Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, P.R.China 2. Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology (China Electric Power Research Institute), Beijing 100192, P.R.China)
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Abstract
Keywords
Power system, Data network, Wide-frequency information, Real-time system, Traffic analysis, Optimization strategy.
Fig.1 WAMS architecture and data flow diagram
Fig.2Sequential data transmission of harmonic components
Fig.3 Sequential data transmission of interharmonic components
Fig.4Dynamic data transmission flowchart (single-channel)
Fig.5Wide-frequency data transmission flowchart (single-channel)
Fig.6 Schematic of current data interaction
Fig.7Schematic of data interaction after data field optimization
Fig.8Scheme of second harmonic/interharmonic timing transmission
Fig.9Data analysis service and modularization
本文引文信息
Li JS, Liu H, Li WZ, Bi TS, Zhao MY (2022) Data network traffic analysis and optimization strategy of real-time power grid dynamic monitoring system for wide-frequency measurements. Global Energy Interconnection, 5(2): 131-142
李劲松，刘灏，李文琢，毕天姝，赵铭洋 (2022) 面向宽频测量的电力系统实时动态监测系统数据网络流量分析及优化策略. 全球能源互联网（英文），5(2): 131-142
Biographies
Jinsong Li
Jinsong Li was born in Anhui, China, in 1981.He received his Master’s degree from Beijing University of Posts and Telecommunications,Beijing, China, in 2010.He is working at China Electric Power Research Institute,Beijing, China, and also currently pursuing a Ph.D.degree at North China Electric Power University, Beijing, China.His research interests include synchronized measurement techniques, detection,and applications.
Hao Liu
Hao Liu was born in Shandong, China,in 1985.He received his Ph.D.degree in electrical engineering from North China Electric Power University in 2015.He is currently an Associate Professor at North China Electric Power University.His research interests include synchronized measurement techniques, calibration, and applications.
Wenzhuo Li
Wenzhuo Li was born in Henan, China, in 1986.She received her Ph.D.degree from Beijing University of Aeronautics and Astronautics,Beijing, China, in 2015.She is working at China Electric Power Research Institute, Beijing, China.Her research interests include power systems and automation technology.
Tianshu Bi
Tianshu Bi received her Ph.D.degree in electrical and electronic engineering from the University of Hong Kong, Hong Kong, China,in 2002.She is currently a Professor at North China Electric Power University, Beijing,China.Her research interests include power system protection and control as well as and synchrophasor measurement techniques and their applications.
Mingyang Zhao
Mingyang Zhao was born in Nei Menggu,China, in 1987.He received his Bachelor’s degree from North China Electric Power University, Beijing, China, in 2009.He is working at China Electric Power Research Institute, Beijing, China.His research interests include synchronized measurement techniques,detection, and applications.
编辑：王彦博
审核：王 伟
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