Zhang Lihua, Bai Jiayi. WIND ENERGY TRADING SCHEME BASED ON ETHEREUMJ. Computer Applications and Software, 2024, 41(2): 49-55. DOI: 10.3969/j.issn.1000-386x.2024.02.007
Citation: Zhang Lihua, Bai Jiayi. WIND ENERGY TRADING SCHEME BASED ON ETHEREUMJ. Computer Applications and Software, 2024, 41(2): 49-55. DOI: 10.3969/j.issn.1000-386x.2024.02.007

WIND ENERGY TRADING SCHEME BASED ON ETHEREUM

  • At present, the marketization of wind power energy trading faces difficult problem that the traditional management center faces the defects of large transaction volume, uncertain trading amount, high operating cost, time difference of fund settlement, opaque transaction, etc. This paper proposes a wind power trading scheme based on Ethereum. The wind power cost and profit control algorithm (WPC-PCA) and the optimal algorithm for power purchase (OAFPP) were used to minimize the cost of wind power and the optimal purchase price of users. Through Ethereum trading office, the two sides could realize decentralized trading according to the optimal matching algorithm. Through the alliance chain, the smart contract was built to realize the cost control of regional wind power, the market-oriented mechanism of customer purchase price, and the control mechanism of matching transaction. The simulation results show that this scheme has good management, controllability and efficiency.
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