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The Application of Electric Vehicle Ordered Charging Technology in Ubiquitous Power Internet of Things
Author(s) -
Wei Wei Zhang,
Wang Chengcheng,
Sa Zhang,
Wanlu Zhu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/782/3/032103
Subject(s) - electricity , scheduling (production processes) , correctness , computer science , electric vehicle , energy consumption , energy conservation , electricity market , environmental economics , automotive engineering , power (physics) , engineering , operations management , electrical engineering , economics , physics , quantum mechanics , programming language
In recent years, the share of electric vehicles in the domestic automobile market is also increasing. When users meet the basic electricity consumption, they can use the electricity price given by the power company to reasonably allocate household energy and choose a more appropriate household energy layout, which can reduce energy consumption and save daily expenses. The purpose of this paper is to optimize the scheduling of household energy users, so as to improve the quality of power, save electricity expenditure, and obtain economic benefits. Based on the intelligent power optimization strategy and the environmental protection and energy conservation of electric vehicles, this paper analyzes the influence of V2G technology on the optimization strategy of household electricity consumption, and establishes the household electricity load model and electric vehicle model. For the whole system model, the scheduling time, power constraints and users’ habit of using electric vehicles as constraints, the final scheduling scheme is obtained through dynamic planning algorithm. Finally, the simulation results verify the correctness of the model coordination control optimization method established in this paper.

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