期刊文献+

关于智能配电网大数据应用技术与前景分析 被引量:3

Analysis on big data application technology and prospect of smart distribution network
下载PDF
导出
摘要 智能配电网系统主要应用的技术包括通信、计算机和网络、现代化电子技术等,适配用电自动化系统主要构成部分为主站、终端自动化监控系统和通信系统,由此形成一个完整的采集信息、传输及处理于一体的系统,实现远程管理配电网的运行。智能配电网中应用大数据技术,更加地智能化与适应社会发展需要。文章对智能配电网大数据应用技术与前景进行分析。 The main application technologies of smart distribution network system include communication,computer and network,modern electronic technology and so on,the main components of the adaptive power automation system in this system are the main station,terminal automation monitoring system and communication system,thus forming a complete system of collecting information,transmitting and processing,and realizing the operation of remote management distribution network.The application of big data technology in smart distribution network is more intelligent and adapt to the needs of social development.This paper analyzes the application technology and prospect of smart distribution network big data.
作者 金旭洁 陈盛 Jin Xujie;Chen Sheng(State Grid Wenzhou Power Supply Company,Wenzhou 325000,China)
出处 《无线互联科技》 2020年第10期34-35,共2页 Wireless Internet Technology
关键词 智能化配电网 大数据 应用技术 前景 smart distribution network big data applied technology prospect
  • 相关文献

参考文献3

二级参考文献39

  • 1吴猛.基于Web的数据可视化技术初探[J].福建电脑,2007,23(12):58-59. 被引量:6
  • 2Michael Schroeck, Rebecca Shockley, Peter Tufano, et al. Analytics: the real-world use of big data[EB/OL]. [2014-08]. http://public. dhe.ibm.com/common/ssi/ecm/en/gbe0352 lusen/GBE03521USEN. PDF.
  • 3Nimmagadda S L, Dreher H V. Big-data integration methodologies for effective management and data mining of petroleum digital ecosystems[C]// 2013 7th IEEE International Conference on Digital Ecosystems and Technologies(DEST). Menlo Park, CA: IEEE, 2013:148-153.
  • 4Greene C S, Tan J, UngM, et al. Big data bioinformatics[J]. Journal of Cellular Physiology, 2014, 229(12): 1896-1900.
  • 5Kezunovic Mladen, Xie Le, Grijalva Santiago. The role of big data in improving power system operation and protection[C]//Bulk Power System Dynamics and Control-IX Optimization, Security and Control of the Emerging Power Grid(IREP), 2013 IREP Symposium. Rethymno: IEEE, 2013: 1-9.
  • 6Ilic D, Karnouskos S, Wilhelm M. A comparative analysis of smart metering data aggregation performance[C]// 2013 llth IEEE International Conference on Industrial Informatics (IND/N). Bochum: IEEE, 2013: 434-439.
  • 7Corporation IBM. Managing big data for smart grids and smart meters[EB/OL]. [2014-08]. http://www.smartgridnews.eom/artman/ uploads/1/IBM_anaytics~aaper.pdf.
  • 8Wong P K C, Kalam A, Barr R. A "big data" challenge : turning smart meter voltage quality data into actionable information[C]//22nd International Conference and Exhibition on Electricity Distribution(CIRED2013). Stockholm: IET, 2013: 1-4.
  • 9The first highly interactive map of electricity use in Los Angeles[EB/OL] . [2014-08] . http:// environment.ucla.edu/map/. ties.
  • 10Sekhar A Nagaraja, Rajah K S, Jain Amit. Spatial informatics and geographical information systems: tools to transform electric power and energy systems[C]//2008 IEEE Region 10 Conference(TENCON 2008). Hyderabad: IEEE, 2008: 1-5.

共引文献192

同被引文献12

引证文献3

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部