DocumentCode
1791063
Title
Research and Design of Quasi-Realtime Data Platform for Power Grid Enterprise
Author
Gan Shan ; Yan Jingyi
Author_Institution
Electr. Power Res. Inst., Guangdong Power Grid Corp., Guangzhou, China
fYear
2014
fDate
25-26 Oct. 2014
Firstpage
456
Lastpage
459
Abstract
Based on the construction of the Quasi-Real time data platform, this paper expounds the platform research and design scheme, introduces the function of Quasi-Real time platform architecture, data architecture and deployment architecture in detail, and also do research deeply on the technology of component design and the comparison of deployment architecture. Practice has proved that, the design of quasi real time data platform this article proposed can establish a unified data model and view, provide sharing massive real-time / historical data service for inter-departmental, multi-disciplinary comprehensive application. Enterprise level analysis and decision support application based on the platform, is a good solution for the centralized management, sharing and utilization of data for power grid enterprise, and support the construction and development of smart grid.
Keywords
data handling; data models; decision support systems; power system analysis computing; power system economics; smart power grids; data architecture; data utilization; decision support application; deployment architecture; design scheme; enterprise level analysis; interdepartmental comprehensive application; massive historical data service sharing; massive real-time data service sharing; multidisciplinary comprehensive application; platform research; power grid enterprise; quasi-real time data platform; smart grid development; unified data model; Architecture; Business; Computer architecture; Data acquisition; Data models; Power grids; Real-time systems; Power grid enterprise; Quasi-Real time; platform; real-time data;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4799-6635-6
Type
conf
DOI
10.1109/ICICTA.2014.116
Filename
7003579
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