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Coordinated electric vehicle charging solutions using renewable energy sources

机译:使用可再生能源的电动汽车协调充电解决方案

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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.
机译:对全球变暖,空气污染和化石燃料短缺的担忧日益加剧,促使人们研究和开发节能电动汽车(EV)。美国政府的目标是到2015年将100万辆电动汽车投入使用。预计电动汽车使用量的增长,以及将可再生能源用于电动汽车充电,这既带来了机遇,也带来了技术障碍。在这项工作中,我们为停车场的商业充电站提出了协调的电动汽车充电策略。研究的重点是最大程度地减少从电网中提取的能量,同时利用可再生能源中的最大能量,以最大程度地提高停车场所有者的利益。我们提出了一种基于最优控制理论的电动汽车充电策略。具体来说,我们推导了一种集中式的迭代控制方法,其中一次优化了电动汽车的充电率。通过分析和仿真,我们证明了一次优化一辆车辆的充电率并对所有车辆重复此过程,使其逐渐收敛到全局最优值。

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