CPS: TTP Option: Small: Adaptive Charging Network Research Portal

该项目的动机是未来能源网络物理系统(CPS)的挑战。它将建立一个独一无二的研究设施，使新的CPS研究能够在智能电网和电动汽车上进行。它将推动清洁能源领域的最先进水平，并促进这些技术的开发和采用。该项目的成果将与加州理工学院(Caltech)的电力系统分析课程整合。这个项目的前期工作已经在加州理工学院和世界各地的其他地方用于课堂项目和智能电网研究。该项目将使新一代学生具备应对我们时代最大挑战之一的热情和跨学科知识。贡献者和用户的种子社区已经有机地形成了。这个项目将促进这个开源社区的发展。PI的实验室一直在与加州理工大学的一家初创企业和加州理工大学的设施部门合作，在加州理工学院的一个停车场设计、部署和管理电动汽车的自适应充电网络(ACN)。该项目的主要目标是开发一套开源软件和硬件，使加州理工大学ACN不仅是一个生产设施，而且是加州理工大学内外CPS研究人员的现场试验台。第二个目标是利用ACN研究门户网站研究分布式能源的联合优化，为电动汽车提供充电服务，并为电力市场和公用事业公司提供能源服务。其关键思想是将生产ACN视为物理层，并创建一个称为ACN研究门户的中间层，以允许安全、可靠和轻松地访问收费数据以及推送收费命令，以便在ACN上进行新算法的真实测试。它将首次公开大型高分辨率充电数据、数据驱动模拟器和实验平台。这将使CPS研究人员能够了解详细的统计模型，对现实世界的充电行为进行数据分析，并在一个由详细的真实数据驱动的通用平台上轻松、公平地比较控制算法。目前这是不可能的。这一奖项反映了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。

This project is motivated by challenges in future energy cyber-physical systems (CPS). It will build a one-of-a-kind research facility that will enable new CPS research on smart grid and electric vehicles. It will advance the state of the art in the clean-energy space and facilitate the development and adoption of these technologies. The result of this project will be integrated with the power system analysis course at California Institute of Technology (Caltech). Preliminary work on this project has already been used at Caltech and other places around the world for classroom projects as well as smart grid research. This project will equip a new generation of students with the passion and the interdisciplinary knowledge for tackling one of the biggest challenges of our time. A seed community of contributors and users has already formed organically. This project will grow this open-source community. The PI's Lab has been working with a Caltech startup and Caltech Facilities department to design, deploy, and manage an Adaptive Charging Network (ACN) for electric vehicles at one of Caltech's parking garages. The primary goal of this project is to develop a suite of open-source software and hardware that will make Caltech ACN not just a production facility, but also a live testbed for CPS researchers at, and outside, Caltech. A secondary goal is to use the ACN Research Portal to study the joint optimization of distributed energy resources to provide both charging service to electric vehicles as well as energy services to electricity markets and utility companies. The key idea is to treat the production ACN as a physical layer and create an inter- mediate layer, called the ACN Research Portal, to allow safe, secure and easy access to charging data as well as push of charging commands for real-world testing of new algorithms on ACN. It will make large high-resolution charging data, data-driven simulator and experimental platform publicly available for the first time. This will allow CPS researchers to learn detailed statistical models, perform data analysis of real-world charging behavior, and easily and fairly compare control algorithms in a common platform driven by detailed real data. This is currently impossible.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.