CAREER: Towards Grid-Responsive Electrified Transportation Systems: Modeling, Aggregation, and Market Integration

大规模的交通电动化趋势给电力系统和交通系统的结合点带来了新的机遇和挑战。通过将电网服务的时空收费灵活性货币化，使电气化交通系统具有电网响应能力，可以释放出显著的经济价值。这个职业项目旨在为电网响应型电气化交通系统建立概念和算法基础。拟议的研究将促进交通电气化，支持可再生能源一体化，并加快交通和电力系统的脱碳。这将通过为电力和交通系统的耦合开发新的概念和模型，以及一个全面的算法工具包来实现，以将电动汽车(EV)充电负载的时空灵活性引入电力市场。该项目的智力优势包括通过整合控制论、系统科学、最优化(凸优化和非凸优化)、博弈论、经济学和统计学习等基础学科的专业知识，在电力系统和运输工程的界面上推进知识。该项目的更广泛影响包括：(A)促进充电负荷与可再生能源发电的更好匹配，同时为电动汽车车主创造新的收入来源；(B)促进电动汽车在没有补贴的情况下更广泛地采用电动汽车，同时定义各种电网服务的充电聚合方面的新创业机会；(C)培养电力工程、交通工程和系统工程交叉领域的一代工程师；以及(D)为K-12学生、成人教育学生以及女性和少数族裔学生创造多种参与机会。实现电网响应型电动交通系统的愿景需要电力和交通系统专业知识的深度整合。该项目将通过以下方式为这一新兴的跨学科领域做出原创性贡献：(A)研究交通电气化引入的交通和电力系统之间的基本耦合，揭示其影响，并为耦合系统开发统一模型；(B)设计计算高效的算法来聚合和控制大型电动汽车车队的时空灵活性，并确定由此产生的聚合灵活性的标准化表示；以及(C)探索将收费灵活性整合到输电和配电级别电力市场的方法。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The massive trend of transportation electrification brings about new opportunities and challenges at the nexus of electric power systems and transportation systems. Making the electrified transportation system grid-responsive can unlock significant economic value by monetizing its spatiotemporal charging flexibility for grid services. This CAREER project aims to establish the conceptual and algorithmic bedrock for grid-responsive electrified transportation systems. The proposed research will facilitate transportation electrification, support renewable integration, and speed up the decarbonization of both transportation and electricity systems. This will be achieved by developing novel concepts and models for coupled power and transportation systems, and a comprehensive algorithmic toolkit to bring the spatiotemporal flexibility in electric vehicle (EV) charging loads to electricity markets. The intellectual merits of the project include advancing knowledge at the interface of power systems and transportation engineering, by integrating expertise in foundational disciplines of control theory, systems science, optimization (both convex and nonconvex), game theory, economics, and statistical learning. The broader impacts of the project include (a) contributing to better matching charging loads with renewable generation while creating new revenue streams for EV owners, (b) spurring wider adoption of EVs without subsidy while defining new entrepreneurial opportunities in charging aggregation for diverse grid services, (c) training a generation of engineers at the intersection of power engineering, transportation engineering, and systems engineering, and (d) generating multiple engagement opportunities for K-12 students, adult education students, and women and minority students.Realizing the vision of grid-responsive electrified transportation systems requires deep integration of expertise in power and transportation systems. This project will make original contributions to this emerging interdisciplinary field by: (a) examining fundamental couplings between transportation and power systems introduced by transportation electrification, uncovering their implications, and developing unified models for the coupled systems, (b) devising computationally efficient algorithms to aggregate and control spatiotemporal flexibility of a large EV fleet, and identifying standardized representations of the resulting aggregate flexibility, and (c) exploring ways to integrate charging flexibility into transmission- and distribution-level electricity markets.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.