4.6 Article

Blockchain Power Trading and Energy Management Platform

期刊

IEEE ACCESS
卷 10, 期 -, 页码 75932-75948

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2022.3189472

关键词

Blockchains; Microgrids; Electric vehicle charging; Power markets; Power generation; Smart contracts; Renewable energy sources; Artificial intelligence; blockchain; distributed ledger; energy management system; Internet of Things; power trading; V2X blockchain platform

资金

  1. NCKU Research and Development Foundation, Taiwan [109S175]

向作者/读者索取更多资源

This study developed a vehicle-to-everything blockchain power trading and energy management platform that combines artificial intelligence, the Internet of things, and blockchain technology. The platform enables multi-level power transactions for electric vehicle charging stations in or between commercial buildings. It considers green power transactions, bidirectional power and green power charging and discharging transactions, demand response bidding, and vehicle-to-vehicle emergency rescue charging. The system ensures data security and fairness through smart contracts and distributed ledgers.
In this study, artificial intelligence, the Internet of things, and blockchain technology were combined to develop a vehicle-to-everything blockchain power trading and energy management platform with the objective of enabling multi-level power transactions for electric vehicle charging stations in or between commercial buildings. The proposed platform considers green power transactions across microgrids, bidirectional power and green power charging and discharging transactions in microgrids, demand response bidding, and vehicle-to-vehicle emergency rescue charging. This innovative architecture operates smart contracts and distributed ledgers independently; uses smart contracts to handle bidding, matching, and settlement of the power trading platform; and simultaneously employs the cloud and local distributed ledger nodes to chain the detailed real-time transaction information and power data on the ledger. In this manner, the security and fairness of data can be ensured; furthermore, a large amount of chaining information can be processed, and the chaining latency can be shortened. In addition, the communication protocols are integrated through the artificial intelligence of things. An energy management system (EMS) is proposed, which can perform optimal charging and discharging scheduling according to the power transaction matching results and then control charging piles and energy storage system devices. It can reduce the operating cost of microgrids in commercial buildings, increase the efficiency of green power utilization, and reduce power loss. In this system, power transactions are automatically and simultaneously executed in the EMS to achieve real-time supply and demand balance of regional microgrids.

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