NSF Convergence Accelerator-Track D: AI-Enabled Provably Resilient Networked Microgrids

NSF 融合加速器 - 轨道 D：人工智能支持的可证明弹性的网络微电网

• 批准号: 2040599
• 负责人: Peng Zhang
• 金额: $ 100万
• 依托单位: SUNY at Stony Brook
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-15 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2040599&HistoricalAwards=false
• 关键词: NSF; Convergence; Accelerator; Track; AI

The NSF Convergence Accelerator supports use-inspired, team-based, multidisciplinary efforts that address challenges of national importance and will produce deliverables of value to society in the near future. The broader impact and potential societal benefit of this Convergence Accelerator Phase I project is to develop coordinated networked microgrids (NMs) that have the potential to help restore neighboring distribution grids after a major blackout. These NMs also hold promise to significantly enhance the day-to day reliability of the powergrid. Many organizations (including the US Department of Energy) believe that, ultimately, NM R&D will lead to the next wave of smart-grid technology, which has the potential to achieve the vision of a highly resilient grid. Specifically, this project aims to develop and demonstrate Artificial Intelligence (AI) enabled, provably resilient networked microgrids (AI-grid). AI-Grid has the potential to transform today’s community power infrastructures into tomorrow’s autonomic microgrids and flexible services immune to cyber-attacks, high levels of renewable energy penetration, faults, and disastrous events, which have the potential to benefit various commercial sectors as well as the military.The key innovation proposed in this project is a programmable platform that integrates continuous-depth deep neural networks, reachability analysis, formal control, and cybersecurity technologies to enable scalable, self-protecting, autonomic and ultra-resilient microgrids and NMs capable of coordinating ultra-scale distributed energy systems and cultivating America’s smart communities and cities. For example, the Grid at the Energy & Innovation Park (EIP), a $1 billion microgrid project aimed at transforming “Hardware City” — New Britain, CT— from a traditional manufacturing Center into the new Center for Connecticut’s digital economy. This project will share with the relevant communities the resultant learning and control models, as well as the monitoring data from test beds and operational microgrids run by their collaborators. The adoption of AI-Grid in the EIP data center microgrid will demonstrate the tremendous potential in empowering our nation’s digital economic engine – the swiftly growing array of Data Centers. This project will provide a powerful living laboratory/classroom and big data sets to stimulate innovations towards smart, replicable, sustainable, and connected communities and infrastructures.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.

NSF 融合加速器支持以使用为基础的、基于团队的多学科努力，解决国家重大挑战，并将在不久的将来为社会提供有价值的成果，该融合加速器第一阶段项目的更广泛影响和潜在社会效益是：开发协调的网络微电网 (NM)，有可能在大停电后帮助恢复邻近的配电网。这些 NM 还有望显着提高许多组织的日常可靠性。 （包括美国能源部）相信，NM研发最终将引领下一波智能电网技术，该技术有潜力实现高弹性电网的愿景。具体而言，该项目旨在开发和示范。支持人工智能 (AI) 且可证明具有弹性的网络微电网 (AI-Grid) 有潜力将当今的社区电力基础设施转变为未来的自主微电网和不受网络攻击的灵活服务。该项目提出的关键创新是一个可编程平台，集成了连续深度深度神经网络、可达性分析、形式化控制和网络安全技术，以实现可扩展、自我保护、自主和超弹性的微电网和网络管理，能够协调超大规模分布式能源系统并培育美国的智能社区和城市。能源与创新园区 (EIP) 的电网是一个耗资 10 亿美元的微电网项目，旨在将康涅狄格州新不列颠的“硬件城”从传统的制造中心转变为康涅狄格州数字经济的新中心。该项目将与相关部门共享。向社区提供由此产生的学习和控制模型，以及来自合作者运行的测试台和运营微电网的监测数据。在 EIP 数据中心微电网中采用 AI-Grid 将展示增强我国数字化能力的巨大潜力。经济引擎——快速增长的数据中心阵列。该项目将提供强大的生活实验室/教室和大数据集，以刺激智能、可复制、可持续和互联社区和基础设施的创新。该奖项反映了 NSF 的法定使命，并已通过使用基金会的智力优点和更广泛的影响审查标准进行评估，认为值得支持。

项目成果

A Barrier Certificate-based Simplex Architecture with Application to Microgrids

基于屏障证书的单纯形架构及其在微电网中的应用

• 发表时间: 2022-01
• 期刊: 22nd International Conference on Runtime Verification (RV 2022
• 作者: Damare, Amol;Roy, Shouvik;Smolka, Scott A.;Stoller, Scott D.
• 通讯作者: Stoller, Scott D.

Noisy-Intermediate-Scale Quantum Electromagnetic Transients Program

噪声中尺度量子电磁瞬变计划

• DOI: 10.1109/tpwrs.2022.3172655
• 发表时间: 2022-05
• 期刊: IEEE Transactions on Power Systems
• 影响因子: 6.6
• 作者: Zhou, Yifan;Zhang, Peng;Feng, Fei
• 通讯作者: Feng, Fei

Programmable Quantum Networked Microgrids

可编程量子网络微电网

• DOI: 10.1109/tqe.2020.3019738
• 发表时间: 2020-01
• 期刊: IEEE Transactions on Quantum Engineering
• 作者: Tang, Zefan;Zhang, Peng;Krawec, Walter O.;Jiang, Zimin
• 通讯作者: Jiang, Zimin

Quantum internet for resilient electric grids

用于弹性电网的量子互联网

• DOI: 10.1002/2050-7038.12911
• 发表时间: 2021-04
• 期刊: International Transactions on Electrical Energy Systems
• 影响因子: 2.3
• 作者: Jiang, Zimin;Tang, Zefan;Qin, Yanyuan;Kang, Chongqing;Zhang, Peng
• 通讯作者: Zhang, Peng

Quantum Distributed Microgrid Control

量子分布式微电网控制

• DOI: 10.1109/pesgm48719.2022.9916709
• 发表时间: 2022-07
• 期刊: 2022 IEEE Power & Energy Society General Meeting (PESGM
• 作者: Babahajiani, Pouya;Zhang, Peng
• 通讯作者: Zhang, Peng