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Intelligent Contract for Power Market Transaction Based on the BlockChain

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Artificial Intelligence and Security (ICAIS 2020)

Abstract

The power market is changing with the development of distributed energy. The development of the micro-grid introduces a small power generation system for distributed energy. It has become a trend for the micro-grid to participate in the power market. Blockchain is a database technology with transparent distribution through a decentralization mechanism. In the blockchain, the transaction data are maintained by entire nodes in the power market. It solves the trust problem between the transaction agents. Intelligent contract technology can make transaction contracts computerized and executed automatically, which has dramatically improved transaction efficiency. In this paper, an intelligent contract for the power transaction is analyzed based on the concepts of the blockchain. The roles of the micro-grid and the related intelligent contract technologies in the power market are also investigated in the electricity reform. Finally, a blockchain scheme for point-to-point trading is designed for future purposes.

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Acknowledgement

This work was partially supported by the National Natural Science Foundation (NNSF) of China (No. 61801008), National Key R&D Program of China (No. 2018YFB0803600), Beijing Natural Science Foundation National (No. L172049), Scientific Research Common Program of Beijing Municipal Commission of Education (No. KM201910005025).

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Correspondence to Yutong Zhang .

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Zhang, Y. et al. (2020). Intelligent Contract for Power Market Transaction Based on the BlockChain. In: Sun, X., Wang, J., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2020. Communications in Computer and Information Science, vol 1252. Springer, Singapore. https://doi.org/10.1007/978-981-15-8083-3_4

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  • DOI: https://doi.org/10.1007/978-981-15-8083-3_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8082-6

  • Online ISBN: 978-981-15-8083-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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