EPAS/AIS Collaborative Research: Adaptive Design for Controllability of a System of Plug-in Hybrid Electric Vehicle Charging Stations

EPAS/AIS 合作研究：插电式混合动力汽车充电站系统可控性的自适应设计

基本信息

批准号：
1128826
负责人：
Janet Allen
金额：
$ 14.47万
依托单位：
University of Oklahoma Norman Campus
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2011
资助国家：
美国
起止时间：
2011-09-01 至 2015-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1128826&HistoricalAwards=false
关键词：
EPAS AIS Collaborative Research Adaptive

项目摘要

The objective of this research is to develop a method for integrating design and power management of a regional system for deployment of plug-in electric vehicle charging stations, each of which obtains power from wind, solar and the grid. The method embodies a two-stage algorithm, the first stage handles system design, and the second stage handles dynamic control under uncertainty. The second stage control problem is embedded within the first stage design problem, thus enabling design for controllability. The solution procedure uses a new, statistically parsimonious algorithm to reduce the computational demands that have previously made this problem intractable. Intellectual MeritThis research is foundational to energy system development, an area of critical national need. Success in addressing the foundational issues will demonstrate the efficacy of the method for the design and deployment of realistic systems and help identify questions worthy of further investigation. Broader ImpactsThis work has the potential of improving the penetration level of renewable energy and ease or delay the need for infrastructure improvement. Design for controllability is critical for many other complex systems in energy, transportation, telecommunications, sustainability, manufacturing, health care, etc. The team has a track record of educating members of under-represented groups and will continue to do so. Research results will be disseminated via standard academic means and will be shared with Vision North Texas, a public-private partnership seeking a more sustainable future for North Central Texas.

这项研究的目的是开发一种整合区域系统设计和电源管理的方法，用于部署插件电动汽车充电站，每个电动汽车充电站都从风，太阳能和网格中获得电源。该方法体现了两阶段算法，第一阶段处理系统设计，第二阶段在不确定性下处理动态控制。第二阶段控制问题嵌入了第一阶段的设计问题中，从而使设计具有可控性。解决方案过程使用一种新的，统计上的简约算法来减少以前使该问题棘手的计算需求。知识分子的研究是能源系统开发的基础，这是一个至关重要的国家需求领域。解决基础问题的成功将证明该方法在设计和部署现实系统的功效，并有助于确定值得进一步调查的问题。这项工作更广泛地影响了提高可再生能源的穿透水平，并轻松或延迟基础设施改善的需求。可控性的设计对于许多其他复杂系统在能源，运输，电信，可持续性，制造业，医疗保健等方面至关重要。该团队具有教育不足的团体成员的记录，并将继续这样做。研究结果将通过标准的学术手段传播，并将与北德克萨斯州（Vision North Texas）共享，这是一个公私伙伴关系，寻求更可持续的德克萨斯州中部。