Research on Real-Time Trading Mechanism of Photovoltaic Microgrid Based on the Consortium Blockchain

Liangjiang Wei, Wei Jian, Baochuan Fu () and Baoping Jiang
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Liangjiang Wei: School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
Wei Jian: School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
Baochuan Fu: School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
Baoping Jiang: School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China

Energies, 2023, vol. 16, issue 23, 1-14

Abstract: With the popularity of solar Photovoltaic (PV) power generation, the real-time interaction between distributed microgrids and large grids has become a new hotspot of concern. In distributed PV power trading, we aim to achieve a dynamic balance between PV users and the grid. This involves real-time power prediction for users, secure blockchain-based recording and protection of trading data, and efficient matching of microgrid and large-grid trading information, including pricing details. System simulations and experimental data analysis have demonstrated the benefits of this transaction model, including enhanced real-time interaction between microgrid and grid. For the buyer, the cost of purchasing electricity can be reduced by about 6%, and for the seller, the income from selling electricity is 1.5 times that of direct Internet access, which has positive significance in improving the income from selling electricity and reducing the cost of electricity for users.

Keywords: photovoltaic power generation; distributed microgrid; power trading; consortium blockchain (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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