| With the development of the times,the energy Internet has gradually developed from a conceptual model to the main development direction of future energy.As the main body of the energy Internet,distributed energy has the problems of massive high-frequency transactions and high trust costs,which cannot be applied to traditional transaction mechanisms.Distributed energy uses the decentralization and immutability of blockchain to build a distributed energy network.Therefore,how to improve the distributed energy transaction mechanism,the transaction decision-making mechanism of each participant in the blockchain-based energy Internet transaction,and the improvement of the consensus mechanism in the blockchain are extremely important.(1)This paper proposes a dynamic partition transaction mechanism based on the NSGA-Ⅱ algorithm,expounds the transaction process of the dynamic partition transaction mechanism,and performs dynamic partition optimization on the basis of satisfying the constraints.The total amount of electricity transactions per unit time is increased to achieve decentralization.(2)From the perspective of energy Internet,this paper designs the energy Internet transaction architecture based on blockchain,analyzes and formulates the game subjects and corresponding game strategies in the transaction architecture,and creates the transactions of energy Internet participants according to the energy Internet architecture.The game model is adopted,and the improved adaptive weight particle swarm algorithm is used to solve the model under the constraints,so as to maximize the game strategy income of each participant in the energy Internet.Finally,the game model of energy Internet transaction is solved by numerical example simulation,and the state of the game subjects in the energy Internet before and after the game is analyzed through the results.It provides a decision-making basis for the multi-agent transaction of the energy Internet.(3)This paper proposes a consensus mechanism based on game d ecision-making,which quantifies the elements in game decision-making as evaluation values and improves the shortcomings of traditional consensus mechanisms.The selection of accounting nodes and the achievement of consensus results are realized.The correctness and feasibility of the game decision-making consensus mechanism are verified by simulation experiments. |