Data Transactions in Energy Internet: Architecture and Key Technologies

被引:0
|
作者
Guo Q. [1 ,2 ]
Wang B. [1 ,2 ]
Tian N. [1 ,2 ]
Sun H. [1 ,2 ]
Wen B. [3 ]
机构
[1] Department of Electrical Engineering, Tsinghua University, Beijing
[2] State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments, Tsinghua University, Beijing
[3] Information Center Guangdong Electric Power Company, Guangzhou
关键词
Data pricing; Data privacy protection; Data right confirmation; Data transactions; Data value evaluation; Energy internet;
D O I
10.19595/j.cnki.1000-6753.tces.200257
中图分类号
学科分类号
摘要
With the development of big data technology, data have become an increasingly important special asset. However, the protection of privacy by many members in the energy Internet makes the data in the energy Internet cut off from each other and unable to circulate, which seriously limits the potential of data to be converted into actual economic value. Under the background of the gradual maturity of energy Internet, the high integration of energy and data information will greatly promote the coordinated development of them. Therefore, it is of great strategic significance for the development of energy Internet to build a complete data transaction system architecture and study the related technology implementation. This paper summarizes the data transaction architecture in the energy Internet, and comprehensively surveys and discusses many problems in data transaction, such as data value evaluation, data pricing, data right confirmation, data privacy protection, etc. Besides, this paper explains the relationships between these problems and gets their preliminary solutions based on information theory, game theory, block chain technology, and other existing theories or technologies, which will guide the formation and promotion of data transaction technology in the energy Internet. © 2020, Electrical Technology Press Co. Ltd. All right reserved.
引用
收藏
页码:2285 / 2295
页数:10
相关论文
共 54 条
  • [1] Liu Yue, He Jia, Guo Minjie, Et al., An overview of big data industry in China, China Communications, 11, 12, pp. 1-10, (2014)
  • [2] Shen Jianjian, Cao Rui, Su Chengguo, Et al., Big data platform architecture and key techniques of power generation scheduling for hydro-thermal-wind-solar hybrid system, Proceedings of the CSEE, 39, 1, pp. 43-55, (2019)
  • [3] Sun Hongbin, Guo Qinglai, Pan Zhaoguang, Energy internet: concept, architecture and frontier outlook, Automation of Electric Power Systems, 39, 19, pp. 1-8, (2015)
  • [4] Sun Hongbin, Guo Qinglai, Pan Zhaoguang, Et al., Energy internet: driving force, review and outlook, Power System Technology, 39, 11, pp. 3005-3013, (2015)
  • [5] Shannon C E., A mathematical theory of communication, The Bell System Technical Journal, 27, 3, pp. 379-423, (1948)
  • [6] (2013)
  • [7] Kang Chongqing, Yao Liangzhong, Key scientific issues and theoretical research framework for power systems with high proportion of renewable energy, Automation of Electric Power Systems, 41, 9, pp. 2-11, (2017)
  • [8] Yao Liangzhong, Zhu Lingzhi, Zhou Ming, Et al., Prospects of coordination and optimization for power systems with high proportion of renewable energy, Automation of Electric Power Systems, 41, 9, pp. 36-43, (2017)
  • [9] Lu Zongxiang, Huang Han, Shan Baoguo, Et al., Morphological evolution model and power forecasting prospect of future electric power systems with high proportion of renewable energy, Automation of Electric Power Systems, 41, 9, pp. 12-18, (2017)
  • [10] Cheng Yaohua, Zhang Ning, Wang Jiaming, Et al., Comprehensive evaluation of transmission network planning for integration of high-penetration renewable energy, Automation of Electric Power Systems, 43, 3, pp. 33-42, (2019)