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Research On Microgrid Power Transaction Model Based On Blockchain

Posted on:2023-02-23Degree:MasterType:Thesis
Country:ChinaCandidate:H K RenFull Text:PDF
GTID:2568306902973729Subject:Engineering
Abstract/Summary:PDF Full Text Request
The current microgrid electricity market has problems such as low efficiency,high risk and time-consuming transaction process.With the introduction of blockchain technology which has decentralized and open and transparent characteristics.It provides new ideas for the localization and orderly promotion of microgrid.The blockchain-based microgrid trading platform well solves the problems of traditional microgrid centralized operation and untrustworthy transactions.When users trade electricity,they usually obtain the optimal bidding strategy through the power trading strategy model first,and then invoke the smart contract for anonymous double auction.However,this process of blockchain-based microgrid power trading platform still has the following problems:the blockchain has high communication overhead and low TPS due to the consensus algorithm,resulting in low system performance;the power trading strategy model is not perfect;the computation and data security of smart contract execution are not guaranteed.These have become the resistance to the development of microgrid technology.This dissertation gives solutions to the above problems,and finally achieves the purpose of improving the construction of microgrid platform.Firstly,the I-PBFT algorithm is proposed for the problems in the performance of the traditional consensus algorithm PBFT in the coalition blockchain.The method addresses the problem of high communication complexity of the three-stage submission process of the PBFT algorithm,and uses the TBLS threshold signature algorithm for improvement,which reduces the communication complexity to O(n)and improved consensus performance of blockchain networks.The importance mechanism is also introduced to evaluate the importance of nodes in the network,reduce the probability of Byzantine nodes in the network to participate in consensus,and improve the security of the network.Then,the game model of microgrid power trading with different power purchase preferences of power purchase users is established for the situation that power purchase users in microgrid may have certain power purchase preferences for a certain type of microgrid when considering power quality,and the incomplete information game exists in microgrid power trading.Under the condition of supply-demand equilibrium,the model is solved by applying the step control method to obtain the optimal tariff and power purchase and sale scheme of the microgrid.The final objective is to support the bidding strategy of microgrid users by considering the power purchase preferences while ensuring the maximum and constant interests of users as a whole.Finally,to improve the microgrid electricity trading platform,a blockchain network management module is designed,and for the data privacy and computational security problems in the execution of anonymous double auction smart contracts for electricity trading,SGX is proposed to put the execution process of electricity trading smart contracts into a trusted execution environment to ensure the computational and data security in the execution of smart contracts.The scheme not only simplifies the deployment and expansion of the blockchain network,but also well avoids the computational and data privacy issues in the double auction phase,and ensures the fairness of the auction phase in the blockchain-based microgrid.And the feasibility of the scheme is verified by experiments.In this dissertation,the performance,imperfect power trading strategy model and smart contract security problems of blockchain-based microgrid power trading model are analyzed,and corresponding solutions are proposed to finally achieve the purpose of providing support for blockchain-based microgrid power trading platform.
Keywords/Search Tags:blockchain, microgrid, PBFT, transaction strategy, trusted execution environment
PDF Full Text Request
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