CPS: Synergy: Collaborative Research: Architectural and Algorithmic Solutions for Large Scale PEV Integration into Power Grids

CPS：协同：协作研究：大规模 PEV 集成到电网的架构和算法解决方案

• 批准号: 1558404
• 负责人: Ufuk Topcu
• 金额: $ 7.14万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-01 至 2016-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1558404&HistoricalAwards=false
• 关键词: CPS; Synergy; Collaborative; Research; Architectural

This project designs algorithms for the integration of plug-in hybrid electric vehicles (PEVs) into the power grid. Specifically, the project will formulate and solve optimization problems critical to various entities in the PEV ecosystem -- PEV owners, commercial charging station owners, aggregators, and distribution companies -- at the distribution / retail level. Charging at both commercial charging stations and at residences will be considered, for both the case when PEVs only function as loads, and the case when they can also function as sources, equipped with vehicle-to-home (V2H) or vehicle-to-grid (V2G) energy reinjection capability. The focus of the project is on distributed decision making by various individual players to achieve analytical system-level performance guarantees.Electrification of the transportation market offers revenue growth for utility companies and automobile manufacturers, lower operational costs for consumers, and benefits to the environment. By addressing problems that will arise as PEVs impose extra load on the grid, and by solving challenges that currently impede the use of PEVs as distributed storage resources, this research will directly impact the society. The design principles gained will also be applicable to other cyber-physical infrastructural systems. A close collaboration with industrial partners will ground the research in real problems and ensure quick dissemination of results to the marketplace. A strong educational component will integrate the proposed research into the classroom to allow better training of both undergraduate and graduate students. The details of the project will be provided at http://ee.nd.edu/faculty/vgupta/research/funding/cps_pev.html

该项目设计了将插电式混合动力电动汽车 (PEV) 集成到电网的算法。具体来说，该项目将在分销/零售层面制定并解决对 PEV 生态系统中的各个实体（PEV 所有者、商业充电站所有者、聚合商和分销公司）至关重要的优化问题。将考虑在商业充电站和住宅充电，无论是纯电动汽车仅充当负载的情况，还是也可充当电源、配备车到户（V2H）或车到电网（V2G）能量回注能力的情况。该项目的重点是各个参与者的分布式决策，以实现分析系统级性能保证。运输市场的电气化为公用事业公司和汽车制造商带来收入增长，降低消费者的运营成本，并为环境带来好处。通过解决PEV给电网带来额外负载时出现的问题，以及解决目前阻碍PEV作为分布式存储资源使用的挑战，这项研究将直接影响社会。获得的设计原则也将适用于其他网络物理基础设施系统。与工业合作伙伴的密切合作将使研究立足于实际问题，并确保将结果快速传播到市场。强大的教育成分将把拟议的研究融入课堂，以便更好地培训本科生和研究生。该项目的详细信息将在http://ee.nd.edu/faculty/vgupta/research/funding/cps_pev.html提供