[1]LI Gang,GUAN Xue,YANG Huifeng,et al.Peer-to-peer energy trading strategy of microgrid based on smart contract[J].CAAI Transactions on Intelligent Systems,2023,18(4):813-822.[doi:10.11992/tis.202206006]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
18
Number of periods:
2023 4
Page number:
813-822
Column:
学术论文—人工智能基础
Public date:
2023-07-15
- Title:
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Peer-to-peer energy trading strategy of microgrid based on smart contract
- Author(s):
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LI Gang1; 2; GUAN Xue1; YANG Huifeng3; 4; ZHAO Linying1; XIN Rui3; 4; CHEN Liandong3; 4
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1. Department of Computer, North China Electric Power University, Baoding 071003, China;
2. Engineering Research Center of Intelligent Computing for Complex Energy Systems, Ministry of Education, Baoding 071003, China;
3. State Grid Hebei Electric Power Company Limited Information and Communication Branch, Shijiazhuang 050021, China;
4. Hebei Electric Power Internet of Things Information and Communication Technology Innovation Center, Shijiazhuang 050021, China
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- Keywords:
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microgrid; energy trading; blockchain; smart contract; peer-to-peer; prosumer; clearing mechanism; customer satisfaction
- CLC:
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TP399; TM344.1
- DOI:
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10.11992/tis.202206006
- Abstract:
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With the transformation of energy systems towards green and low-carbon development, a large number of new prosumers have flooded into the trading market, bringing a lot of uncertainties to the energy trading system. What’s more, the traditional centralized energy trading mechanism can no longer meet the demand. Under the circumstances, this paper analyzes the compatibility of blockchain technology and energy trading mode, proposes and constructs a peer-to-peer (P2P) energy trading model for microgrids with prosumers as the research object on the basis of smart contracts, which helps to increase the proportion of renewable energy consumption. In order to increase user’s benefits, three different clearing mechanisms are used for settlement, and a user satisfaction feedback measurement method is designed, which can provide a reference for subsequent transactions. The simulation analysis results show that the clearing mechanism affects the user’s satisfaction and benefits to a varying degree, and that the P2P energy trading strategy outperforms traditional energy trading strategy, which provides a new idea for innovative energy trading mode under the background of digital transformation.