Research On Transaction And Operation Of Integrated Energy System Based On Blockchain Technology

With the accelerated transformation of China’s energy supply system and power system reform,the integrated energy system(IES)has emerged.At present,the deepening construction of IES faces many difficulties,such as differences in energy demand,complex and changeable business system and transaction mechanisms,high transaction reliability and timeliness requirements,low transaction history reliability,centralized management system structure and many other problems.And there is a natural match between the blockchain and the operational needs of IES services in terms of smart contracts,de-trust,decentralization,distributed decision-making,collaborative autonomy,transaction negotiation and supervision.Intelligent technology can ensure the timely and effective transaction information of comprehensive energy services,and the credibility of transaction information history.Based on blockchain technology and smart contracts,a transaction model for a comprehensive energy system is proposed.In transaction record framework of this model,a heterogeneous blockchain structure is adopted.Based on the equipment nodes in the system,the process of transaction,physical process model and economic model of the equipment node are analyzed,,using the smart contract technology in the blockchain system,a matching transaction mechanism based on price constraints is built,clean energy users have a higher supply priority under this mechanism.And the transaction authentication stage,two-factor authentication mechanism are used to ensure the security and reliability of transactions.Further,according to the differences in the physical process properties of various energy transmission types,the average duration of user transactions in each transaction time slot is quantitatively analyzed,and the consensus process based on the SHA-256 hash function is modeled for the mathematical expectation of the block production process,the mathematical expectation of block production under the constant hash rate of the system is proved and verified,confirming the validity of the mathematical expectation.The consensus process was simulated under the constant difficulty,and the simulation results showed the phenomenon of transaction blocking,indicating that under a constant hash rate,the transaction efficiency in the integrated energy system does not fit the consensus mechanism of fixed consensus difficulty.On the basis of the above analysis,since the difficulty of fixed consensus is not compatible with comprehensive energy trading,an adaptive consensus mechanism needs to be adopted to meet the accounting requirements.Therefore,a neural network algorithm in artificial intelligence technology is used to design a prediction operation.Convolutional neural network spliced with LSTM structure is used to predict the consensus difficulty of transaction time to solve the problem of transaction record blocking caused by the change of transaction frequency of the IES.The nodes broadcast data to the network,and integrate them into the data structure required by the network input interface,and then predict the consensus difficulty on each energy sub-chain,so that the rate of block generation on each energy sub-chain changes accordingly,adapting to the internal multi-energy of the IES transaction efficiency.Finally,the experimental analysis is carried out in the experimental environment,using python3.6 to build a IES transaction model,generating network training data according to the model.The validity and feasibility of the energy system transaction model can be proved,at the accounting level,the simulation results verify the feasibility of the neural network prediction method designed to match the IES transaction efficiency.