Key technologies of electric power big data and its application prospects in smart grid

被引：0
作者：
School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan [1 ]
Hubei Province
430074, China
不详 [2 ]
Shandong Province
250002, China
机构：
[1] School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, 430074, Hubei Province
[2] State Grid of China Technology College, Jinan, 250002, Shandong Province
来源：
Zhongguo Dianji Gongcheng Xuebao | / 3卷 / 503-511期
基金：
中国国家自然科学基金;
关键词：
Big data; Cloud computing; Data analysis; Data integration; Data processing; Data visualization; Smart grid;
D O I：
10.13334/j.0258-8013.pcsee.2015.03.001
中图分类号：
学科分类号：
摘要：
Application of big data techniques in power system will contribute to the sustainable development of power industry companies and the establishment of strong smart grid. This paper introduced a universal framework of electric power big data platform, based on the analysis of the relationships among the big data, cloud computing and smart grid. Then key techniques of electric power big data were discussed in four aspects, including big data management techniques, big data analyzing techniques, big data processing techniques and big data visualization techniques. Finally, the paper presented three typical application examples of electric power big data techniques which were new and renewable energy integration, wind turbine condition monitoring and assessment, power system catastrophic failure prediction. The application of big data technologies in smart grid will bring deep change and brilliant future to power system, and will promote the development of power industry to a new generation. ©2015 Chin. Soc. for Elec. Eng.
引用
收藏
页码：503 / 511
页数：8
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