文献类型：期刊文献

英文题名：An Intelligent Scheduling Access Privacy Protection Model of Electric Vehicle Based on 5G-V2X

作者：Xu, Cheng[1];Wu, Hongjun[1];Liu, Hongzhe[1];Li, Xuewei[1];Liu, Li[2];Wang, Pengfei[3]

第一作者：Xu, Cheng

通讯作者：Liu, HZ[1]

机构：[1]Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing, Peoples R China;[2]Yunnan Power Grid Co Ltd, Informat Ctr, Kunming, Yunnan, Peoples R China;[3]Minist Emergency Management Peoples Republ China, Commun & Informat Ctr, Beijing, Peoples R China

第一机构：北京联合大学北京市信息服务工程重点实验室

通讯机构：[1]corresponding author), Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing, Peoples R China.|[11417103]北京联合大学北京市信息服务工程重点实验室;[11417]北京联合大学;

年份：2021

卷号：2021

外文期刊名：SCIENTIFIC PROGRAMMING

收录：;EI(收录号：20214811234542);Scopus(收录号：2-s2.0-85119925176);WOS:【SCI-EXPANDED(收录号:WOS:000778555200001)】；

基金：This work was supported by the Beijing Municipal Commission of Education Project (nos. KM202111417001 and KM201911417001), the National Natural Science Foundation of China (Grant nos. 62102033, 61871039, 62171042, 61906017, and 61802019), the Collaborative Innovation Center for Visual Intelligence (Grant no. CYXC2011), and the Academic Research Projects of Beijing Union University (nos. ZB10202003, ZK40202101, and ZK120202104).

语种：英文

外文关键词：5G mobile communication systems - Digital storage - Electric lines - Electric power transmission networks - Scheduling - Smart contract - Traffic congestion - Vehicle-to-grid

摘要：It is more and more important to optimize electric power system scheduling in the development of the Internet of Vehicles. How to improve the applicability and scientific nature of electric vehicle charging is an urgent problem to be solved. This paper proposes an intelligent scheduling access model for electric vehicles based on blockchain. Firstly, the layout simplification calculation is carried out for the layout of the traditional distributed power grid. Then, a data storage and consensus system is built using blockchain smart contracts to ensure that all historical data are not tampered with and are traceable. Finally, the model forms an electricity price guidance model in the intelligent scheduling and access of electric vehicles, optimizes the multivehicle line congestion in operation, and can dynamically schedule and correct the model. In terms of the experiment, 13 test electric vehicles were dispatched based on 12 real power station nodes and 36 test nodes of Yunnan Power Grid Co. Information Center for verification:Me result analysis shows that the model can effectively and quickly solve the blocking and unblocking of the Internet of Vehicles and can develop a scheduling scheme conforming to the safety constraints of electric vehicles in a relatively short time.