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
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;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-6635-6
DOI :
10.1109/ICICTA.2014.116