Coordinated electric vehicle charging solutions using renewable energy sources

K. Jhala, B. Natarajan, A. Pahwa, L. Erickson
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引用次数: 16

Abstract

Growing concerns about global warming, air pollution, and fossil fuel shortages have prompted the research and development of energy efficient electric vehicles (EVs). The United States government has a goal of putting 1 million EVs on the road by 2015. The anticipated increase in EV usage, along with the use of renewable energy sources for EV charging presents opportunities as well as technical hurdles. In this work, we propose coordinated EV charging strategies for commercial charging stations in parking lots. The focus of the research is on minimizing energy drawn from the grid while utilizing maximum energy from renewable energy resources in order to maximize benefits to parking lot owners. We propose an optimal control theory based strategy for EV charging. Specifically we derive a centralized iterative control approach in which the charging rates of EVs are optimized one at a time. Through analysis and simulations, we demonstrate that optimizing the charging rate of one vehicle at a time and repeating this process for all vehicles iteratively converges to the global optimum.
协调使用可再生能源的电动汽车充电解决方案
对全球变暖、空气污染和化石燃料短缺的担忧日益加剧,促使了节能电动汽车(ev)的研究和开发。美国政府的目标是到2015年让100万辆电动汽车上路。预计电动汽车使用量的增加,以及使用可再生能源为电动汽车充电,既带来了机遇,也带来了技术障碍。本文提出了停车场商业充电站的电动汽车协同充电策略。研究的重点是最大限度地减少从电网中获取的能源,同时最大限度地利用可再生能源,以最大限度地提高停车场所有者的利益。提出了一种基于最优控制理论的电动汽车充电策略。具体而言,我们推导了一种集中迭代控制方法,每次优化一辆电动汽车的充电速率。通过分析和仿真,我们证明了每次优化一辆车的充电速率并对所有车辆重复此过程迭代收敛于全局最优。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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