Power internet of things technology with energy and information fusion

被引：0
|
作者：
Chen H. [1 ]
Cai W. [1 ]
Chen J. [1 ]
机构：
[1] School of Electric Power, South China University of Technology, Guangzhou
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2021年 / 49卷 / 22期
基金：
中国国家自然科学基金;
关键词：
Data science; Edge computing; Energy and information fusion; PLC-IoT; Power internet of things;
D O I：
10.19783/j.cnki.pspc.202163
中图分类号：
学科分类号：
摘要：
Abstract: The power internet of things is one of the key technologies to establish a new-type of power system with new energy as the main power source. As a successful case of internet of things technology with energy and information fusion, PLC-IoT can use existing power line resources for data transmission and improve the deep perception of power grids. It is suitable for use as the communication method at the power internet of things network layer and can promote deep integration of the power grid and communication network. This paper first introduces the current development of the power internet of things, analyzes the feasibility and key issues of the internet of things technology with energy and information fusion, and discusses the application scenarios and development directions of PLC-IoT in the power industry by analysis of its key technologies and application advantages. Finally, a vision of establishing a universal multi-energy flow and multi-channel ubiquitous energy internet of things is proposed. © 2021 Power System Protection and Control Press.
引用
收藏
页码：8 / 17
页数：9
相关论文
共 36 条
  • [1] CHEN Sheng, WEI Zhinong, GU Wei, Et al., Carbon neutral oriented transition and revolution of energy systems: multi-energy flow coordination technology, Electric Power Automation Equipment, 41, 9, pp. 3-12, (2021)
  • [2] FU Zhixin, LI Xiaoyi, YUAN Yue, Research on key technologies of ubiquitous power internet of things, Electric Power Construction, 40, 5, pp. 1-12, (2019)
  • [3] CHEN Haoyong, WANG Xiaojuan, CAI Yongzhi, Et al., Distributed sensing and cooperative estimation/detection of complex power/energy and energy systems, Power System Protection and Control, 46, 18, pp. 1-10, (2018)
  • [4] WANG X, HAN Y, WANG C, Et al., In-edge AI: intelligentizing mobile edge computing, caching and communication by federated learning, IEEE Network, 33, 5, pp. 156-165, (2019)
  • [5] LI Bo, LI Kai, ZHONG Susheng, Et al., Research and application of deep learning algorithm based on multi-source data fusion of power grid, Electronic Design Engineering, 29, 10, pp. 116-119, (2021)
  • [6] CHEN Haoyong, LI Zhihao, CHEN Jinbin, Et al., Power internet of things: data science perspective and business models, Power System Protection and Control, 48, 22, pp. 33-40, (2020)
  • [7] LIU Lin, QI Bing, LI Bin, Et al., Requirements and developing trends of electric power communication network for new services in electric internet of things, Power System Technology, 44, 8, pp. 3114-3130, (2020)
  • [8] CHEN Haoyong, LI Zhihao, CHEN Yongbo, Et al., Ubiquitous power internet of things based on 5G, Power System Protection and Control, 48, 3, pp. 1-8, (2020)
  • [9] CHEN Yongbo, TANG Yi, AI Xinwei, Et al., Electricity internet of things based on LPWAN technology, Telecommunications Science, 33, 5, pp. 143-152, (2017)
  • [10] CHEN Haoyong, CHEN Yongbo, WANG Xiaojuan, Et al., Ubiquitous power internet of things based on LPWAN, Power System Protection and Control, 47, 8, pp. 1-8, (2019)
1234