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Cooperative Control and Operation of Multi-energy Microgrids
截止日期：2025年3月31日
The aims of this special issue are to attract paper submissions on the cutting-edge research around cooperative control and operation of multi-energy microgrids, specifically,
To advance the theoretical understanding and practical application of cooperative control and operation technologies (such as multiagent, digital twin and distributed ledger technology) in the context of multi-energy microgrids; To develop innovative and efficient modelling methods for accurately representing the complex dynamics and interactions within these systems; To optimize the operation strategies to enhance the reliability, efficiency, and economic performance of multi-energy microgrids.
This subject is of current interest for several reasons. Firstly, with the increasing complexity and variability of energy demands, there is a pressing need for more intelligent and flexible energy systems. Multi-energy microgrids offer a potential solution by integrating various energy sources. Innovative technologies such as multiagent, digital twin and distributed ledger technology enable real-time monitoring, simulation and optimization, allowing for better decision-making and control. Secondly, the pursuit of energy sustainability and the reduction of carbon emissions drive the exploration of novel energy management approaches. The combination of swarm intelligence in multi-energy microgrids holds promise for improving energy efficiency and reducing environmental impact.
Multi-agent modeling for multi-energy microgrids
Fundamental theory of swarm intelligence in multi-energy microgrids
Non-cooperative and cooperative game synergistic operation of multi-energy microgrids
Smart operation of multi-energy microgrids with deep reinforcement learning
Low carbon economy of multi-energy microgrids with green hydrogen and demand response
Flexible control of multi-energy microgrids with artificial intelligence
Optimization of multi-microgrid cooperative operation considering power market transaction
Optimization of distributed demand response of multi-energy microgrid group based on multi-agent system
Energy sharing of multi-energy microgrids
Distributed ledger technology (blockchain) and its application in distributed control and operation of multi-energy microgrids
Yang Gao
Shanghai Jiao Tong University
China
Jianxiao Wang
Peking University
China
Sheng Chen
Hohai University
China
Sijie Chen
Shanghai Jiao Tong University
China
Yue Zhou
Cardiff University
United Kingdom
Sahban Alnase
The University of Jordan
Jordan
Seifeddine BEN ELGHALI
Aix-Marseille University
France
Aritra Ghosh
University of Exeter
United Kingdom
请登录期刊官网投稿，并在投稿栏目下拉列表中选择特刊标题。
投稿链接（阅读原文）：
https://ietresearch.onlinelibrary.wiley.com/hub/journal/17518695/homepage/call-for-papers/si-2024-000907
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