CAREER: Enabling grid-aware aggregation and real-time control of distributed energy resources in electric power distribution systems

职业：实现配电系统中分布式能源的网格感知聚合和实时控制

基本信息

批准号：
2047306
负责人：
Mads Almassalkhi
金额：
$ 50万
依托单位：
University of Vermont & State Agricultural College
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-03-01 至 2026-02-28
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2047306&HistoricalAwards=false
关键词：
CAREER Enabling grid aware aggregation

项目摘要

This NSF CAREER project aims to advance the field of power systems to enable a reliable, affordable, and clean energy future by leveraging flexibility from millions of heterogeneous, connected distributed energy resources (DERs), such as controllable loads, energy storage, and distributed generation. The project will bring transformative change to distribution system operations by creating a novel cooperative paradigm for grid and DER management. The intellectual merits of the project include advancing fundamental understanding of and theory for optimizing and controlling electric power distribution systems, including novel algorithms that formally certify a range of admissible DER controllers. The broader impacts of the project include casting power systems as a climate-change mitigation technology and developing an online DER+Grid simulation platform that enhances the power engineering curriculum at University of Vermont and the university's approach to an inclusive STEM education. This will attract diverse people and empower them to tackle climate challenges. A new interdisciplinary course for non-STEM students will be developed to build valuable coding skills within the framework of gamification and a clean energy future to allow students to critically assess challenges and opportunities. Through these games, the PI intends to build an online portal that raises public awareness of and enables meaningful participation in power systems.Today's power distribution system operations are top-down and rely on conservative margins that limit deployments and coordination of DERs and precludes independent aggregators. To overcome barriers posed by the asymmetry of information and control between the distribution system operator (DSO) and DER aggregators, the PI proposes two research objectives: 1) Study scalable optimization algorithms that enable the DSO to dynamically maximize the capacity of distribution feeders to host flexible demand and DERs, while accounting for the nonlinear AC physics, practical network topologies and assets, and uncertain power injections; and 2) Develop control algorithms that enable DER aggregators to participate in valuable grid services while certifying that control actions are network-admissible. The algorithms will be based on convex inner approximations, which promote scalability for large feeders. All proposed work will be validated using data from utilities and aggregators within a real-time DER+Grid simulation platform that represents a gateway for undergraduates to actively contribute to interdisciplinary research.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.

该 NSF 职业项目旨在通过利用数百万个异构、互联的分布式能源 (DER)（例如可控负载、储能和分布式发电）的灵活性，推进电力系统领域的发展，实现可靠、经济且清洁的能源未来。该项目将为电网和分布式能源管理创建一种新颖的合作范例，为配电系统运营带来革命性的变化。该项目的智力优势包括推进对优化和控制配电系统的基本理解和理论，包括正式认证一系列可接受的分布式能源控制器的新颖算法。该项目更广泛的影响包括将电力系统作为缓解气候变化的技术，以及开发在线 DER+Grid 模拟平台，以增强佛蒙特大学的电力工程课程以及该大学的包容性 STEM 教育方法。这将吸引不同的人，并使他们有能力应对气候挑战。我们将为非 STEM 学生开发一门新的跨学科课程，以在游戏化和清洁能源未来的框架内培养有价值的编码技能，让学生能够批判性地评估挑战和机遇。通过这些游戏，PI 打算建立一个在线门户，提高公众对电力系统的认识并实现有意义的参与。当今的配电系统运营是自上而下的，依赖于保守的利润，这限制了分布式能源的部署和协调，并排除了独立的聚合商。为了克服配电系统运营商 (DSO) 和 DER 聚合商之间信息和控制不对称造成的障碍，PI 提出了两个研究目标： 1) 研究可扩展的优化算法，使 DSO 能够动态最大化配电馈线的承载能力灵活的需求和分布式能源，同时考虑非线性交流物理、实际网络拓扑和资产以及不确定的功率注入； 2) 开发控制算法，使分布式能源聚合器能够参与有价值的网格服务，同时证明控制操作是网络可接受的。该算法将基于凸内近似，从而促进大型馈线的可扩展性。所有拟议的工作都将在实时 DER+Grid 模拟平台中使用来自公用事业和聚合器的数据进行验证，该平台代表了本科生积极参与跨学科研究的门户。该奖项反映了 NSF 的法定使命，并被认为值得通过评估获得支持利用基金会的智力优势和更广泛的影响审查标准。