Research On Fast Energy Transaction Algorithm Based On Blockchain

With the rapid development of the energy Internet,residents’ electricity demand is also increasing,and convenient,flexible,green and clean distributed renewable energy has gradually become people’s choice.In the existing electricity market,consumers can only trade energy indirectly through energy retailers,while traditional centralized energy trading centers face high costs,transaction user trust issues,and important consumer information privacy and security issues.Ideally,the exchange of electricity between producers and consumers should not rely entirely on a centralized exchange.The blockchain has the advantages of decentralization,security and privacy,and is difficult to tamper with.It is suitable for solving problems such as small and many distributed energy transactions,large data volumes,and decentralized transactions.This paper uses blockchain technology and uses Ethereum as a platform to design energy matching transaction methods in three different situations.On the premise of realizing distributed energy users’ autonomous transactions,the benefits of users are improved.The specific work of this paper is as follows:（1）Proposed a blockchain-based price-priority matching algorithm,designed a two-stage matching algorithm to improve the transaction efficiency of the energy market.In the first stage,producers and consumers with the same price are matched.After the first stage of matching is completed,the unified market clearing in the second stage is carried out to find a unified clearing price.（2）Aiming at the peak electricity consumption phenomenon in the region,an energy trading method based on demand response is proposed.Load classification of user appliances is carried out by introducing a demand response mechanism in the microgrid.Use a game theory-based bidding strategy,a blockchain-based distributed energy auction model was constructed.Simulation results show that the stability of the energy system has been significantly improved,the peak phenomenon of electricity consumption in the region has been reduced,and the power generation and load in the region have been basically balanced.（3）For the difficulty of matching clean energy in traditional algorithms,a multi-factor matching trading algorithm is proposed.Based on the dissimilarity calculation formula in k-prototype,the applicability of multiple factors such as electricity price,transaction volume,transmission distance,and energy type is calculated and compared,and the most suitable buyer and seller are matched.Use smart contracts for automatic trading,matching,settlement and other functions.Package the completed transaction on the chain and publicize it.Simulation results show that the multi-factor matching algorithm can better match clean energy and reduce environmental pollution.