Study of the key technologies of electric power big data and its application prospects in smart grid

被引：0

作者：

Zhan, Jie ^{[1
]}

Huang, Jinxin ^{[1
]}

Niu, Lin ^{[1
]}

Peng, Xiaosheng ^{[2
]}

Deng, Diyuan ^{[2
]}

Cheng, Shijie ^{[2
]}

机构：

[1] State Grid Corp China, State Grid China Technol Colleague, Jinan, Peoples R China

[2] Huazhong Univ Sci & Technol, Sch Elect & Elect Engn, Wuhan, Peoples R China

来源：

2014 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (IEEE PES APPEEC) | 2014年

关键词：

Big data; cloud computing; smart grid; data integration; electric power big data; visualization;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

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 article introduces 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 is discussed in four aspects, including big data management techniques, big data analysing techniques, big data processing techniques and big data visualization techniques. Finally, the article presents three typical application examples of electric power big data techniques which are new and renewable energy integration, wind turbine condition monitoring and assessment and data base integrative backup for electric power enterprises.

引用

页数：4

共 12 条

[1]

Chen Chao, 2013, MODERN ELECT TECHNOL, V24, P8

[2]

Electric power informatization special committee of CSEE, 2013, P CSEE, P10

[3]

IBM, 2012, IBMS SOL POW IND

[4]

IBM, 2012, INT REG

[5]

Li Guibing, 2013, SCI TECHNOLOGY INFOR, V30, P11

[6]

Lu T. Y., 2013, IT OT CONV SUMM SEM, P10

[7]

Luo Jun-zhou, 2011, Journal on Communications, V32, P3

[8]

Sun Bolin, 2013, ELECT AGE, P18

[9]

Yao H Y, 2013, INFORM TECHNOLOGY ST, P21

[10]

Ye S., 2010, THESIS

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