Review of distributed control and optimization in energy internet: From traditional methods to artificial intelligence‐based methods

Energy internet (EI) can alleviate the arduous challenges brought about by the energy crisis and global warming and has aroused the concern of many scholars. In the research of EI control systems, the access of distributed energy causes the power system to exhibit complex nonlinearity, high uncertai...

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Published inIET cyber-physical systems Vol. 6; no. 2; pp. 63 - 79
Main Authors Hua, Haochen, Wei, Zhiqian, Qin, Yuchao, Wang, Tonghe, Li, Liuying, Cao, Junwei
Format Journal Article
LanguageEnglish
Published Southampton John Wiley & Sons, Inc 01.06.2021
Wiley
Subjects
Access control
Alternative energy sources
Artificial intelligence
Control algorithms
Control methods
Control stability
Control systems
Distributed generation
Effectiveness
Electricity distribution
Energy Internet
Energy management
Energy storage
Fuzzy sets
Information technology
Internet
Machine learning
Neural networks
Optimization
R&D
Renewable resources
Research & development
Wind power
Working conditions
United States > US
China
Online AccessGet full text
ISSN2398-3396
2398-3396
DOI10.1049/cps2.12007

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Abstract Energy internet (EI) can alleviate the arduous challenges brought about by the energy crisis and global warming and has aroused the concern of many scholars. In the research of EI control systems, the access of distributed energy causes the power system to exhibit complex nonlinearity, high uncertainty and strong coupling. Traditional control and optimization methods often have limited effectiveness in solving these problems. With the widespread application of distributed control technology and the maturity of artificial intelligence (AI) technology, the combination of distributed control and AI has become an effective method to break through current research bottlenecks. This study reviews the research progress of EI distributed control technologies based on AI in recent years. It can be found that AI‐based distributed control methods have many advantages in maintaining EI stability and achieving optimal energy management. This combination of AI and distributed control makes EI control systems more intelligent, safe and efficient, which will be an important direction for future research. The purpose of this study is to provide a reference as well as useful research ideas for the study of EI control systems.
AbstractList Abstract Energy internet (EI) can alleviate the arduous challenges brought about by the energy crisis and global warming and has aroused the concern of many scholars. In the research of EI control systems, the access of distributed energy causes the power system to exhibit complex nonlinearity, high uncertainty and strong coupling. Traditional control and optimization methods often have limited effectiveness in solving these problems. With the widespread application of distributed control technology and the maturity of artificial intelligence (AI) technology, the combination of distributed control and AI has become an effective method to break through current research bottlenecks. This study reviews the research progress of EI distributed control technologies based on AI in recent years. It can be found that AI‐based distributed control methods have many advantages in maintaining EI stability and achieving optimal energy management. This combination of AI and distributed control makes EI control systems more intelligent, safe and efficient, which will be an important direction for future research. The purpose of this study is to provide a reference as well as useful research ideas for the study of EI control systems.
Energy internet (EI) can alleviate the arduous challenges brought about by the energy crisis and global warming and has aroused the concern of many scholars. In the research of EI control systems, the access of distributed energy causes the power system to exhibit complex nonlinearity, high uncertainty and strong coupling. Traditional control and optimization methods often have limited effectiveness in solving these problems. With the widespread application of distributed control technology and the maturity of artificial intelligence (AI) technology, the combination of distributed control and AI has become an effective method to break through current research bottlenecks. This study reviews the research progress of EI distributed control technologies based on AI in recent years. It can be found that AI‐based distributed control methods have many advantages in maintaining EI stability and achieving optimal energy management. This combination of AI and distributed control makes EI control systems more intelligent, safe and efficient, which will be an important direction for future research. The purpose of this study is to provide a reference as well as useful research ideas for the study of EI control systems.
Author Wang, Tonghe
Qin, Yuchao
Li, Liuying
Cao, Junwei
Hua, Haochen
Wei, Zhiqian
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  surname: Cao
  fullname: Cao, Junwei
  email: jcao@tsinghua.edu.cn
  organization: Tsinghua University
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Snippet Energy internet (EI) can alleviate the arduous challenges brought about by the energy crisis and global warming and has aroused the concern of many scholars....
Abstract Energy internet (EI) can alleviate the arduous challenges brought about by the energy crisis and global warming and has aroused the concern of many...
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SubjectTerms Access control
Alternative energy sources
Artificial intelligence
Control algorithms
Control methods
Control stability
Control systems
Distributed generation
Effectiveness
Electricity distribution
Energy Internet
Energy management
Energy storage
Fuzzy sets
Information technology
Internet
Machine learning
Neural networks
Optimization
R&D
Renewable resources
Research & development
Wind power
Working conditions
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Title Review of distributed control and optimization in energy internet: From traditional methods to artificial intelligence‐based methods
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