Weiqi Hua
Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review
Hua, Weiqi; Chen, Ying; Qadrdan, Meysam; Jiang, Jing; Sun, Hongjian; Wu, Jianzhong
Authors
Ying Chen
Meysam Qadrdan
Jing Jiang
Professor Hongjian Sun hongjian.sun@durham.ac.uk
Professor
Jianzhong Wu
Abstract
Governments’ net zero emission target aims at increasing the share of renewable energy sources as well as influencing the behaviours of consumers to support the cost-effective balancing of energy supply and demand. These will be achieved by the advanced information and control infrastructures of smart grids which allow the interoperability among various stakeholders. Under this circumstance, increasing number of consumers produce, store, and consume energy, giving them a new role of prosumers. The integration of prosumers and accommodation of incurred bidirectional flows of energy and information rely on two key factors: flexible structures of energy markets and intelligent operations of power systems. The blockchain and artificial intelligence (AI) are innovative technologies to fulfil these two factors, by which the blockchain provides decentralised trading platforms for energy markets and the AI supports the optimal operational control of power systems. This paper attempts to address how to incorporate the blockchain and AI in the smart grids for facilitating prosumers to participate in energy markets. To achieve this objective, first, this paper reviews how policy designs price carbon emissions caused by the fossil-fuel based generation so as to facilitate the integration of prosumers with renewable energy sources. Second, the potential structures of energy markets with the support of the blockchain technologies are discussed. Last, how to apply the AI for enhancing the state monitoring and decision making during the operations of power systems is introduced.
Citation
Hua, W., Chen, Y., Qadrdan, M., Jiang, J., Sun, H., & Wu, J. (2022). Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review. Renewable and Sustainable Energy Reviews, 161, Article 112308. https://doi.org/10.1016/j.rser.2022.112308
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 20, 2022 |
Online Publication Date | Mar 17, 2022 |
Publication Date | 2022-06 |
Deposit Date | Feb 22, 2022 |
Publicly Available Date | Jul 19, 2022 |
Journal | Renewable & Sustainable Energy Reviews |
Print ISSN | 1364-0321 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 161 |
Article Number | 112308 |
DOI | https://doi.org/10.1016/j.rser.2022.112308 |
Public URL | https://durham-repository.worktribe.com/output/1213947 |
Related Public URLs | https://arxiv.org/abs/2202.10098 |
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Copyright Statement
© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
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