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Content Provider | IET Digital Library |
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Author | Wang, Yahui Wu, Xiaorui Li, Yong Yan, Ruifeng Tan, Yi Qiao, Xuebo Cao, Yijia |
Abstract | To effectively coordinate the distributed energy resources calls for reasonable energy management methods. Nowadays, there are a great number of studies about home energy management systems (HEMSs) and centralised control. However, the former has the problem of producing new peaks and valley when incentives are applied, and the latter only focuses on overall economic benefits and ignores individual preferences. Therefore, the authors take an emerging decentralised solution, i.e. peer-to-peer (P2P) energy sharing mechanism, into consideration and then propose an autonomous energy community model. In this P2P autonomous energy community, participants form an alliance and can trade energy with each other to maximisation individual benefit without a central controller. To allocate profit fairly among members, an energy contract based on Shapley values is proposed. Modelling of participants, implementation of energy contract and operation principle of community is presented in this study. Finally, case studies are conducted with the comparison of the model where households apply HEMS independently. The results show that the proposed model yields reduction in electricity cost and it is also friendly to the power grid with lower energy fluctuation compared with the counterpart. |
Starting Page | 682 |
Ending Page | 689 |
Page Count | 8 |
ISSN | 17518687 |
Volume Number | 14 |
e-ISSN | 17518695 |
Issue Number | Issue 4, Feb (2020) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-gtd/14/4 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.1223 |
Journal | IET Generation, Transmission & Distribution |
Publisher Date | 2019-11-15 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Autonomous Energy Community Model Building Management System Contracts Distributed Energy Resources Distributed Power Generation Energy Contract Energy Management System Energy ReSource Game Theory Home Energy Management System Lower Energy Fluctuation Multi-agent System Optimisation Peer-to-peer Computing Peer-to-peer Energy Sharing Mechanism Power Grid Power System Economics Power System Managemen Power System Operation Probability Theory Profitability Reasonable Energy Management Method Statistics Stochastic Linearised SCUC |
Content Type | Text |
Resource Type | Article |
Subject | Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering |
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