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: University of Texas at Arlington
• 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=1128871&HistoricalAwards=false
• 关键词: EPAS; AIS; Collaborative; Research; Adaptive

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.

本研究的目的是开发一种方法，用于集成区域系统的设计和电源管理，以部署插入式电动汽车充电站，每个充电站都从风能，太阳能和电网获得电力。该方法体现了一个两阶段的算法，第一阶段处理系统设计，第二阶段处理动态控制下的不确定性。 第二阶段的控制问题是嵌入在第一阶段的设计问题，从而使设计的可控性。解决方案的过程中使用了一个新的，统计上的吝啬算法，以减少计算需求，以前这个问题变得棘手。智力MeritThis研究是能源系统发展的基础，这是一个国家急需的领域。成功地解决基本问题将证明该方法在现实系统的设计和部署中的有效性，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，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、可持续性、制造、医疗保健等许多其他复杂系统至关重要。该团队在教育代表性不足的群体成员方面有着良好的记录，并将继续这样做。研究结果将通过标准的学术手段传播，并将与德克萨斯州北部的愿景分享，这是一个公私合作伙伴关系，旨在为德克萨斯州北部中部创造一个更可持续的未来。