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

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
批准号:
1128871
负责人:
Victoria Chen
金额:
$27.17万
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
项目状态:
已结题
起止时间:
2011-09-01 至 2015-08-31

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中文摘要
翻译
这项研究的目标是开发一种区域系统的设计和电力管理相结合的方法,用于部署插电式电动汽车充电站,每个充电站都从风能、太阳能和电网获得电力。该方法体现了两阶段算法,第一阶段处理系统设计,第二阶段处理不确定情况下的动态控制。第二阶段控制问题嵌入到第一阶段设计问题中,因此能够进行可控性设计。求解过程使用了一种新的、统计上简约的算法,以减少以前使这个问题变得棘手的计算需求。智力价值这项研究是能源系统发展的基础,能源系统是国家迫切需要的一个领域。成功地解决基本问题将证明该方法在设计和部署现实系统方面的有效性,并有助于确定值得进一步研究的问题。更广泛的影响这项工作有可能提高可再生能源的渗透水平,并缓解或推迟基础设施改善的需要。可控性设计对于能源、交通、电信、可持续发展、制造、医疗保健等领域的许多其他复杂系统至关重要。该团队在培训代表不足群体的成员方面有着良好的记录,并将继续这样做。研究成果将通过标准的学术手段传播,并将与北德克萨斯愿景分享,这是一个公私合作伙伴关系,为德克萨斯州中北部寻求更可持续的未来。
英文摘要
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.
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Workshop on Decision Analytics for Dynamic Policing; Arlington, Virginia; May 9-10, 2019
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