Research On Energy Trading Strategies And Mechanisms Based On Alliance Blockchai

With the concept of Industry 4.0,the Industrial Internet of Things(IIo T)has been developing rapidly,which in turn has promoted the energy revolution and greatly facilitated the further prosperity of the Energy Internet.Energy Internet is a deep integration of energy and information,which can unite a large number of distributed energy nodes to realize distributed energy collection and bi-directional flow of energy with integrated production and sales.However,the traditional energy market still has a more serious single point of failure problem,meanwhile,the single energy distribution method and frequent transaction fraud problems cannot meet the growing market demand of distributed IIo T.In addition,the unreasonable transaction matching mechanism and pricing model also reduce the satisfaction of energy trading and prevent the expansion of energy trading market.In the traditional energy trading model,the transaction data of energy trading entities can be directly accessed from the central server,and malicious entities can access and analyze the private information of the remaining energy trading entities,and the transaction security is not guaranteed.Therefore,how to design and implement a distributed energy trading strategy mechanism in line with the energy market has become the most urgent problem in the development of the current energy Internet.To address the above problems,this paper designs a distributed fair energy trading mechanism based on the federated blockchain and constructs a rational transaction cost model based on it.The main research contents of this paper are as follows:(1)In order to solve the problems of transaction fraud and uneven distribution of transaction resources in traditional energy trading model,Ho-trade,a fair energy trading solution based on federated blockchain is proposed.In addition,Ho-trade constructs a new energy trading smart contract and improves the existing Practical Byzantine Fault Tolerance(PBFT)algorithm,which improves the efficiency of trading while safeguarding the trading interests of trading entities and increasing the cost of fraudulent trading.Finally,the experimental results and security analysis show that Hotrade requires less transaction time and has high fairness.(2)To address the homogeneous competition caused by the single nature of existing energy trading matching mechanism and pricing model,this paper introduces the concept of game theory to solve the above problems based on the market demand situation and the attributes of energy trading entities themselves.First,this paper proposes a P2 P energy trading model based on federated blockchain,which ensures the integrity and immutability of transaction information.In addition,we construct an energy price game and a purchase volume game for energy sellers and buyers,respectively,so that energy trading entities can optimize the energy trading cost in a dynamic and stochastic environment.Finally,the scheme divides all energy trading entities into different trading regions,and statistically integrates the trading intentions within the regions to generate a trading intention graph,and constructs the optimal trading match using the optimal matching mechanism.Experiments demonstrate that our proposed energy trading strategy outperforms existing trading strategies under the same node size setting.