Power Big Data: New Assets of Electric Power Utilities

被引:6
|
作者
Zhang, Pei [1 ]
Xu, Yan [2 ]
Luo, Fengji [3 ]
Dong, Zhao Yang [4 ]
机构
[1] Beijing Jiaotong Univ, Sch Renewable Energy, Beijing 100044, Peoples R China
[2] Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Changsha 639798, Hunan, Peoples R China
[3] Univ Sydney, Sch Civil Engn, Sydney, NSW 2006, Australia
[4] Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia
关键词
Big data; Smart grid; Machine learning; Data-driven analysis; DYNAMIC SECURITY ASSESSMENT; SYSTEM; MODEL; OPERATION;
D O I
10.1061/(ASCE)EY.1943-7897.0000604
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
Big data has emerged as an attractive concept in various industry domains. For power engineering, enormous amounts of data from different devices, different geographical locations of the power grid, and different time scales are collected, which creates the research opportunity for power big data. This paper conducted a comprehensive up-to-date literature review and a preliminary discussion of this emerging research topic. The definition, structure, and characteristics of the power big data were introduced. The technical architecture for power big data analysis was elaborated. Typical state-of-the-art applications of power big data were reviewed and discussed. This paper provided a comprehensive review of this promising topic, and a deep insight to help utility companies transform data into information, information into knowledge, and knowledge into wisdom.
引用
收藏
页数:9
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