Blockchain-based Peer-to-Peer Energy Trading Method

作     者：Myles J.Thompson Hongjian Sun Jing Jiang Myles J.Thompson;Hongjian Sun;Jing Jiang

作者机构：Department of EngineeringDurham UniversityDurhamUK Department of MathematicsPhysics and Electrical EngineeringNorthumbria UniversityNewcastle upon TyneUK 

出 版 物：《CSEE Journal of Power and Energy Systems》 (中国电机工程学会电力与能源系统学报（英文）)

年 卷 期：2022年第8卷第5期

页      面：1318-1326页

核心收录：

学科分类：0820[工学-石油与天然气工程] 0808[工学-电气工程] 080802[工学-电力系统及其自动化] 08[工学] 

基　　金：This work was supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No.872172 TESTBED2 project 

主　　题：Peer-to-peer energy trading smart grid blockchain matching algorithm renewable energy source 

摘      要：For grid-connected neighbors within communities,blockchain-enabled peer-to-peer energy trading proves to be a coherent approach to trade energy from locally produced and distributed renewable energy *** matching among peers enables enhanced energy efficiency during energy transactions,thereby improving the power quality and preferentially increasing user *** proposed algorithm builds upon work to develop a system of scoring an energy *** employs a McAfee-priced double auction mechanism and assigns the scores based on the preference of factors like price,locality,and the type of energy generation,in addition to the quantity of energy being *** transactions are pre-evaluated by the said algorithm to determine the optimal transactional *** a result,the transaction that is finally executed is the one holding the highest cumulative *** proposed algorithm is simulated over a range of scenarios and tends to boost the user welfare percentile by an average of 75%.From an economic perspective,the algorithm may be implemented in small to large settlements while remaining *** reducing power loss,this energy trading algorithm empowers consumers to save around 25%on their energy costs and offers prosumers a 50%increase in revenue.