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Research On Distributed Energy Trading Method And Supporting Technology

Posted on:2021-10-26Degree:MasterType:Thesis
Country:ChinaCandidate:J L XuFull Text:PDF
GTID:2492306104987499Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
As a recently emerging distributed data storage technology,blockchain has the characteristics of decentralization,openness,transparency,security,sharing,and traceability.It is not only widely used in the financial field,but also in the energy field.Especially in the field of energy internet,it is gradually gaining attention.Using blockchain to implement decentralized transactions of distributed power may trigger a major change in the energy internet field from network architecture to transaction methods.This article focuses on energy forecasting,energy trading,and energy transmission.The technical system of distributed electrical energy from production to transaction to transmission is expounded,which take blockchain as the core.At the same time,it also combines methods and technologies such as artificial intelligence and electrical energy routing.In addition,the distributed trading system is modularly designed and the difficulties of each part are pointed out.The technology used in each module is improved according to the characteristics of distributed energy trading to better complete the distributed energy trading work,and support the research on the mechanism of Io T for the smooth absorption of new energy.The main research work includes: Firstly,a distributed power trading system architecture based on blockchain and power routing is discussed.The system includes application service module,basic component module,blockchain platform module and power routing module.It can meet the needs of electricity production forecasting,trading,transmission and various supporting services.Secondly,for the prediction of new energy(photovoltaic)power generation and individual load prediction on the distribution network side,a two-cycle model of LSTNet is designed based on LSTNet.The online update architecture of the prediction model based on the blockchain is proposed,which effectively improves the accuracy of electric energy prediction.And the model can better adapt to the distributed energy trading environment.Then a distributed energy trading model based on blockchain technology is designed,using double auction as the trading method.The use of blockchain smart contracts to achieve point-to-point automatic transaction and settlement of distributed electrical energy effectively improves the economic benefits of both parties to the transaction.And this method eliminates the single point of failure risk of the central node.Next according to the characteristics of distributed power transactions,a consensus algorithm based on delegated proof of stake is proposed,and experiments show that transaction security is improved.It can effectively prevent attacks from malicious nodes.Finally the physical structure of electrical energy routing is designed.Combined with the characteristics of distributed electrical energy trading,a routing algorithm based on line capacity constrained shortest path algorithm is proposed.Experiments show that it can reduce transmission loss,increase transmission capacity,and promote node maintenance integrity.
Keywords/Search Tags:Distributed power, Blockchain, Smart contract, Consensus algorithm, Power routing, Prediction algorithm
PDF Full Text Request
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