半月刊
ISSN 1000-1026
CN 32-1180/TP
半月刊
ISSN 1000-1026
CN 32-1180/TP
1. 中国电力科学研究院, 北京市 100192; 2. 东软集团股份有限公司, 北京市 100193;3. 华北电力大学电气与电子工程学院, 北京市 102206; 4. 北京中电普华信息技术有限公司, 北京市 100085
能源互联网已成为当今学术界与产业界的研究热点，作为核心技术之一的大数据，将在其发展中起到举足轻重的作用。文中综述了国内外能源互联网大数据技术研究和实践成果，阐述了大数据基本概念与特征及其在能源互联网中的重要性，进一步分别从技术层面和管理层面总结了能源互联网中大数据应用所面临的挑战。在此基础上，梳理了能源互联网中大数据的重点应用领域，提出了能源互联网中大数据研究的框架和技术路线。最后，总结了能源互联网中大数据的研究现状，指出需多方通力合作，才能稳步推进。
国家电网基础前瞻性项目(DZ71-15-004)；国家电网公司科技项目(XT71-15-056)
1. China Electric Power Research Institute, Beijing 100192, China; 2. Neusoft Corporation, Beijing 100193, China; 3. School of Electrical & Electronic Engineering, North China Electric Power University, Beijing 102206, China; 4. Beijing China Power Information Technology Co. Ltd., Beijing 100085, China
Energy Internet has presently become a research focus of academic and industrial circles. As one of the key technologies, big data will play a pivotal role in its development. Achievements in big data research and practice of Energy Internet at home and abroad are summarized, its concepts and characteristics enunciated, and its significance and main application domains detailed. Furthermore, challenges confronted by big data in terms of technology and management are summed up. On this basis, important application domains in Energy Internet are combed, meanwhile research framework and technology roadmap of big data are proposed. Finally, the status quo of big data research in Energy Internet is presented, its development and advancement asking for endeavors of multiple quarters.This work is supported by State Grid Basic Prospective Research Program(No. DZ71-15-004)and State Grid Corporation of China(No. TX71-15-056).
| [1] | 刘世成,张东霞,朱朝阳,等.能源互联网中大数据技术思考[J].电力系统自动化,2016,40(8):14-21. DOI:10.7500/AEPS20151106007. LIU Shicheng, ZHANG Dongxia, ZHU Chaoyang, et al. A View on Big Data in Energy Internet[J]. Automation of Electric Power Systems, 2016, 40(8):14-21. DOI:10.7500/AEPS20151106007. |
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