| Electricity,as a clean,efficient,convenient and most widely used secondary energy in modern society,with the continuous development of my country’s industrialization level,the national demand for electricity is also increasing.New energy sources such as wind energy and solar energy have been developed and utilized on a large scale to promote the development of new energy power.At the same time,they are also transforming towards clean and low-carbon energy.With the continuous progress of power generation technology,various power generation modes and power scales are emerging one after another.This leads to a series of changes in the structure of the power grid,and even the era of two-way flow of electric energy.Microgrid users can take electricity from the grid for use,and users can also sell the energy they generate in reverse to other microgrid members,resulting in the energy structure.And the system power flow structure has also become more complex.With the vigorous development and wide application of new energy sources,solar energy,wind energy,biomass energy and other new energy sources are connected to the distribution network with high penetration rate in the form of microgrid,and the transaction information is huge.For distributed microgrid new energy power trading problems,the research content of this thesis is as follows:1.This thesis designs a multi-chain power transaction model,forms a multi-local area network.users access the network for transactions,and stores local transaction records in sub-local areas to ensure the safe and reliable storage of transaction data,and proposes a matching strategy for power transactions.Matching is measured as an examination of entity credit and electricity selling price.According to past transaction performance,when electricity purchasers receive electricity price information from different electricity sellers during electricity purchases,they can learn from the blockchain ledger.The transaction credit value of the electricity seller,and screen out suitable electricity sellers.The example simulation shows that the node credit value calculation method has excellent evaluation performance,and the proposed matching strategy can effectively quantify credit,and combine with the electricity sales price to match the most suitable transaction object.2.This thesis designs a blockchain management architecture based on power transactions,proposes a credit management mechanism that accommodates "twin granularity" transaction data,and proposes a Delegated Proof of Power Generation Consumption(DPPGC)to achieve this.Local block consensus,with the help of the transaction data of the local block,upload the historical transaction completion ratio of the node,and realize the change record of the transaction credit value of the electricity seller in the credit block.The experimental results show that the structure of the node credit management method in this thesis is stable,and the proposed local consensus mechanism not only has high security and reliability,but also can meet the needs of user transaction efficiency.3.the system builds and implements the blockchain management architecture,from node deployment,transaction electricity recording to node credit value visualization,which fully reflects the rationality of the power transaction architecture and the feasibility of the system. |