Bionic Structure and Cyber-Physical System for Intelligent Power Plant Oriented to the Industrial Internet

被引：0
作者：
Xiao X. [1 ,2 ,3 ]
Wang F. [1 ,2 ]
Wang X. [1 ,2 ]
Zhou H. [3 ]
Zhang L. [1 ,2 ]
机构：
[1] College of Electrical and Information Engineering, Hunan University, Changsha
[2] Hunan Key Laboratory of Intelligent Information Analysis and Integrated Optimization for Energy Internet, Hunan University, Changsha
[3] Hunan Datang Xianyi Technology Co. Ltd, Changsha
来源：
Xiao, Xiangwu (xiaoxw425@126.com) | 1600年 / China Machine Press卷 / 35期
关键词：
Architecture; Cyber-physical systems(CPS); Industrial internet; Intelligent power plant; Smart power generation;
D O I：
10.19595/j.cnki.1000-6753.tces.191593
中图分类号：
学科分类号：
摘要：
The traditional structure of thermal power plant can hardly meet the demand of smart production and management, and the intelligent power plant has become a new trend. Based on the concept of the Industrial Internet, this article proposes a smart power plant bionic system and DNA conceptual model using bionics principles and methods, and analyzes the evolution process of its iterative development and system interaction. Fully considering the influence of human behavior and social factors on the information physical system, the framework and components of the bionic human/society-cyber-physical system for intelligent power plant are further analyzed. On this basis, the hierarchical structure of the industrial Internet platform for intelligent power plant is constructed according to the hierarchical structures of cells. The structure and cyber-physical system proposed can better solve the problem of information islands in existing thermal power plants and promote the deep integration of the human/society-information-physical ternary. Meanwhile, they can provide methodology and implementation reference for intelligent management, intelligent power generation, multi-market decision-making and other multi-agent construction of smart power plants. © 2020, Electrical Technology Press Co. Ltd. All right reserved.
引用
收藏
页码：4898 / 4911
页数：13
相关论文
共 59 条
  • [51] Zhang Hui, Lu Wenbing, Zhao Xiongwen, Et al., Noise modeling for power line communication channel using the LS-SVM and wavelet neural networks, Transactions of China Electrotechnical Society, 33, 16, pp. 3879-3888, (2018)
  • [52] (2015)
  • [53] Rocha M S, Sestito G S, Dias A L, Et al., Performance Comparison Between OPC UA and MQTT for Data Exchange, 2018 Workshop on Metrology for Industry 4.0 and IoT, pp. 175-179, (2018)
  • [54] (2018)
  • [55] (2018)
  • [56] Augustin A, Yi Jiazi, Clausen T, Et al., A study of LoRa: long range & low power networks for the internet of things, Sensors, 16, 9, (2016)
  • [57] Yan H., Design of smart home gateway based on ZigBee technology, 2018International Conference on Intelligent Transportation, Big Data & Smart City(ICITBS), pp. 25-26, (2018)
  • [58] Zuo Jian, Xie Pingping, Li Yinhong, Et al., Intelligent optimization algorithm based load frequency controller design and its control performance assessment in interconnected power grids, Transactions of China Electrotechnical Society, 33, 3, pp. 478-489, (2018)
  • [59] Wang Li, Zhao Jie, Liu Dichen, Et al., Piecewise linear model and parameter identification of governor actuator based on genetic particle swarm optimization algorithm, Transactions of China Electrotechnical Society, 31, 12, pp. 204-210, (2016)
123456