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Optimal control of an electric vehicle’s charging schedule under electricity markets

机译:电力市场下对电动汽车充电时间表的最佳控制

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摘要

As increasing numbers of electric vehicles (EVs) enter into the society, the charging behavior of EVs has got lots of attention due to its economical difference within the electricity market. The charging cost for EVs generally differ from each other in choosing the charging time interval (hourly), since the hourly electricity prices are different in the market. In this paper, the problem is formulated into an optimal control one and solved by dynamic programming. Optimization aims to find the economically optimal charging solution for each vehicle. In this paper, a nonlinear battery model is characterized and presented, and a given future electricity prices is assumed and utilized. Simulation results indicate that daily charing cost is reduced by smart charing.
机译:随着越来越多的电动汽车进入社会,电动汽车的充电行为由于其在电力市场中的经济差异而备受关注。电动汽车的充电成本通常在选择充电时间间隔(每小时)方面彼此不同,因为市场上的每小时电价是不同的。在本文中,该问题被表述为一个最优控制,并通过动态规划解决。优化旨在为每辆车找到经济上最优的充电解决方案。在本文中,对非线性电池模型进行了表征和提出,并假设并利用了给定的未来电价。仿真结果表明,智能计费可以降低日常计费成本。

著录项

  • 来源
    《Neural Computing and Applications》 |2013年第8期|1865-1872|共8页
  • 作者单位

    Institute of Sustainable Electric Networks and Sources of Energy Technical University of Berlin">(1);

    Center for Electric Technology Technical University of Denmark">(2);

    Department of Control Science and Engineering Tongji university">(3);

    Department of Control Science and Engineering Tongji university">(3);

    Department of Control Science and Engineering Tongji university">(3);

    Department of Control Science and Engineering Tongji university">(3);

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Optimal control; Dynamic programming; Nonlinear control; Electric vehicles;

    机译:最佳控制;动态编程;非线性控制;电动车;

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