Microgrid Group Trading Model and Solving Algorithm Based on Blockchain

Zixiao Xu, Dechang Yang and Weilin Li
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Zixiao Xu: Automation engineering college, Northwestern Polytechnical University, Xi’an 710072, China
Dechang Yang: College of Information and Electrical Engineering，China Agricultural University, Bejing 100083, China
Weilin Li: Automation engineering college, Northwestern Polytechnical University, Xi’an 710072, China

Energies, 2019, vol. 12, issue 7, 1-19

Abstract: With the development of the energy Internet and the integration of multi-type energy situations, it is of great significance to study the competition game of a multi-agent microgrid group system for its development. As an emerging distributed database technology, blockchain technology has great application potential in the field of energy trading. Firstly, blockchain technology is coupled with the microgrid group transaction, and the information flow transaction model of a microgrid group based on blockchain technology is established. Aiming at this complex multi-objective optimization problem, an improved ant colony optimization algorithm is proposed to solve the model. Finally, the competitive trading model and solving algorithm are simulated and analyzed. The relevant results show that the near global optimum price strategy of each time based on the proposed model can effectively balance the efficiency of each subject in the market. In addition, the model ensures that there is no high-income and low-cost phenomenon in the trading process, therefore the security and quality of the market are guaranteed.

Keywords: blockchain; microgrid group; ant colony algorithm; electricity trade (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: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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