An Intelligent Scheduling Access Privacy Protection Model of Electric Vehicle Based on 5G-V2X
Author(s) -
Cheng Xu,
Hongjun Wu,
Hongzhe Liu,
Xuewei Li,
Li Liu,
Pengfei Wang
Publication year - 2021
Publication title -
scientific programming
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.269
H-Index - 36
eISSN - 1875-919X
pISSN - 1058-9244
DOI - 10.1155/2021/1198794
Subject(s) - computer science , scheduling (production processes) , power grid , smart grid , electric vehicle , grid , electricity , the internet , schedule , distributed computing , real time computing , power (physics) , engineering , electrical engineering , operating system , physics , geometry , operations management , mathematics , quantum mechanics
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. The 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.
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