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文章摘要
云计算在电力用户用电信息采集系统中的应用研究*
Research on the application of Cloud Computing in Power User Electric Energy Data Acquisition System
Received:August 30, 2015  Revised:August 30, 2015
DOI:
中文关键词: 电力系统,电力用户用电信息采集系统,云计算,大数据,分布式并行处理
英文关键词: power system, Power User Electric Energy Data Acquisition System, Cloud Computing, Big Data, distributed parallel processing
基金项目:国家重点实验室开放基金项目(SKLD15M02)
Author NameAffiliationE-mail
HE Heng-jing State Key Lab of Power System,Dept of Electrical Engineering,Tsinghua University hengjinghe@163.com 
ZHAO Wei* State Key Lab of Power System,Dept of Electrical Engineering,Tsinghua University zhaowei@mail.tsinghua.edu.cn 
HUANG Song-ling State Key Lab of Power System,Dept of Electrical Engineering,Tsinghua University huangsling@mail.tsinghua.edu.cn 
WANG Qing School of Engineering and Computing Sciences,Durham University,Durham DH13LE,England qing.wang@durham.ac.uk 
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中文摘要:
      随着国家电网公司确立的电力用户用电信息采集系统“全覆盖、全采集、全费控”目标的逐步实现,电力系统中运行的采集终端数量大幅激增,从而使采集的电力系统数据信息量呈几何级数增长。面对海量的用电数据,当前用电信息采集系统在多个方面出现瓶颈。本文通过分析当前作为解决大数据存储、分析、计算、管理有效手段的云计算技术,结合当前用电信息采集系统所遇问题,研究了云计算在电力用户用电信息采集系统中的应用前景及面对的挑战,对未来电力用户用电信息采集系统的建设和发展有指导意义。
英文摘要:
      As the State Grid Corporation of China is improving the Power User Electric Energy Data Acquisition System so that it can collect all necessary electric energy information from all power consumers, the number of acquisition devices is increasing sharply with large amounts of data flooding into the system. Current Power User Electric Energy Data Acquisition Systems have met many bottlenecks. To find effective solutions for these problems, this paper first examines the architecture and demand of Power User Electric Energy Data Acquisition Systems. And, then, by further analyzing advanced technologies in Cloud Computing, which is a highly effective approach for processing Big Data, research about the utilization of Cloud Computing technology for improving Power User Electric Energy Data Acquisition Systems, and related challenges, are carried out. The work of this paper can provide guidance for construction of future Power User Electric Energy Data Acquisition Systems.
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