Collaborative Research: RII Track-2 FEC: STORM: Data-Driven Approaches for Secure Electric Grids in Communities Disproportionately Impacted by Climate Change

合作研究：RII Track-2 FEC：STORM：受气候变化影响较大的社区中安全电网的数据驱动方法

• 批准号: 2316400
• 负责人: Timothy Hansen
• 金额: $ 75万
• 依托单位: South Dakota State University
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-15 至 2027-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2316400&HistoricalAwards=false
• 关键词: Collaborative; Research; RII; Track; FEC

RII Track-2 FEC: STORM: Data-Driven Approaches for Secure Electric Grids in Communities Disproportionately Impacted by Climate Change involves the jurisdictions of Maine, Alaska, South Dakota and Puerto Rico. The proposed research, education, and workforce development activities will advance the nation’s smart grid technologies to support communities disproportionately impacted by climate change and related severe weather such as hurricanes, blizzards, flooding, and rapid shifts in temperature. STORM will benefit from experts in electrical, computer and civil engineering, economics, community and environmental resilience, climatology, and mathematics and statistics. Faculty and students will co-produce knowledge with community stakeholders, using convergent approaches that are critical to solving complex problems. Research and workforce development objectives are built around three intersecting themes: (1) Engagement of underserved communities in local climate change solutions and knowledge translation for microgrid design; (2) Improvement of power grid resilience in underserved communities through accelerated big data modeling, estimation, and secure control frameworks, and (3) Development of regionally relevant cyber-physical research infrastructure for studying community engaged data-driven operation of power grids. Each theme will involve early career and senior faculty to ensure effective mentoring. Research and workforce development activities are designed to develop pilot programs and research data that will lead to sustainable funding from federal agencies and industry. Project partners include school districts, indigenous tribes, municipalities, electrical utilities/cooperatives, nonprofits, start-up and established companies, and federal laboratories. STORM will encourage diverse and inclusive participation through its work with community members, undergraduate and graduate students, early career faculty, federal laboratories and industry. Efforts to broaden participation in STEM will be enhanced through two institutions in particular. The University of Alaska, Fairbanks (UAF) is an Alaska Native and Native Hawaiian and Native American-Serving Nontribal Institution. The University of Puerto Rico Mayaguez an Hispanic Serving Institution. It is one of the top producers of Hispanic engineers in the United States of America according to the American Society of Engineering Education. The electric grid, among the most complex human-made systems, is vital to U.S. security and quality of life. More frequent and intense extreme weather events as well as other anthropogenic threats, including physical and cyber-attacks, are testing the resilience of our nation’s critical infrastructure. STORM is built around three interrelated themes in response to this challenge. Theme 1 focuses on engaging underserved communities in local climate change solutions and knowledge translation for microgrid design. Theme 1 approaches are novel in terms of the co-production of research and knowledge among community members geographic and culturally distinct regions; the co-design of solutions with an interdisciplinary team of researchers with social science and engineering backgrounds whose experiences span the study regions, and applications of lessons learned from each of the three study regions, to the others. While Theme 1 focuses on microgrid planning to meet the resiliency goals of communities disproportionately impacted by climate change, Theme 2 seeks to increase the situational awareness of underserved communities and mitigate the impact in the electric grid according to the community resilience goals during and after an extreme weather event. Theme 2’s new multi-microgrid system restoration strategy will prioritize critical loads at the community and individual levels based on a new multi-timescale predictive control and estimation framework that utilizes GFM inverters to provide optimal dynamic support during the process. Novel hardware Trojan prevention, detection, and mitigation techniques will advance cyber-attack resilience of the entire system during severe weather. Theme 3 seeks to develop regionally-relevant cyber-physical research infrastructure for studying community-engaged, data-driven operation of power grids. The new, regionally relevant synthetic power systems, climate, and socioeconomic data will be immensely valuable to the advancement of data science, machine learning, and artificial intelligence applied to the electric industry in these underserved jurisdictions. STORM will benefit from strong existing partnerships including a successful Department of Energy EPSCoR project on modeling converter dominated power systems. STORM also builds upon senior personnel’s partnerships with Sandia National Laboratory, National Renewable Energy Laboratory, and Pacific Northwest National Laboratory. In addition, the project will leverage relationships with key industry/community partners (Kartorium, Kotzebue Electric Association, East River Electric Co-op, Missouri River Energy Services, National Rural Electric Cooperative Association, Siemens, Sioux Valley Energy, Sustainable Energy for Galena, and Versant Power).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.

RII Track-2 FEC：Storm：受气候变化影响不成比例的社区安全电网的数据驱动方法涉及缅因州，阿拉斯加，南达科他州和波多黎各的管辖区。拟议的研究，教育和劳动力发展活动将推进美国智能电网技术，以支持社区受到气候变化和相关恶劣天气的影响不成比例的，例如飓风，暴风雪，洪水和温度快速变化。风暴将受益于电气，计算机和土木工程，经济学，社区和环境弹性，气候以及数学和统计的专家。教师和学生将使用对解决复杂问题至关重要的融合方法与社区利益相关者共同建立知识。研究和劳动力发展目标是围绕三个相交主题建立的：（1）在当地气候变化解决方案和微电网设计的知识翻译中的参与； （2）通过加速的大数据建模，估算和安全控制框架改善服务欠佳的社区的功率电网弹性，以及（3）开发与区域相关的网络物理研究基础结构，用于研究社区参与电网的数据驱动的功率操作。每个主题都将涉及早期职业和高级教师，以确保有效的指导。研究和劳动力发展活动旨在制定试点计划和研究数据，这些数据将导致联邦机构和行业的可持续资金。项目合作伙伴包括学区，土著部落，文化公用事业/合作社，非营利组织，初创公司和成熟的公司以及联邦实验室。风暴将通过与社区成员，本科生和研究生，早期职业教师，联邦实验室和工业界的工作来鼓励多样化和包容性的参与。尤其是两个机构将增强扩大参与STEM的努力。阿拉斯加大学费尔班克斯大学（UAF）是阿拉斯加的本地人，夏威夷原住民和美洲原住民服务的非部落机构。西班牙裔服务机构，波多黎各玛雅格斯大学。根据美国工程教育学会的数据，它是美国西班牙裔工程师的顶级生产者之一。电网是最复杂的人为系统之一，对美国的安全和生活质量至关重要。更频繁，激烈的极端天气事件以及其他人为威胁（包括身体和网络攻击）正在测试我们国家关键基础设施的韧性。为了应对这一挑战，风暴围绕三个相互关联的主题建造。主题1的重点是使服务不足的社区参与当地气候变化解决方案和微电网设计的知识翻译。主题1方法是关于社区成员地理和文化不同地区的研究和知识的新颖的新颖的。解决方案与一个具有社会科学和工程背景的研究人员的跨学科团队的共同设计，其经验涵盖了研究区域，以及从三个研究区域中的每个地区中学到的经验教训的应用。尽管主题1的重点是微电网计划，以实现受气候变化影响不成比例影响社区的弹性目标，但主题2试图提高服务不足社区的情境意识，并根据社区的弹性目标减轻电网的影响，并在极端的天气中。主题2的新的多微晶系统恢复策略将基于新的多时间尺度预测控制和估算框架来确定社区和个人级别的关键负载，该框架利用GFM逆变器在此过程中提供最佳的动态支持。新型的硬件木马预防，检测和缓解技术将在恶劣天气下提高整个系统的网络攻击能力。主题3旨在开发与区域相关的网络物理研究基础设施，以研究社区参与，数据驱动的电网操作。新的，区域相关的合成功率系统，气候和社会经济数据将对这些服务不足的司法管辖区应用于电力工业的数据科学，机器学习和人工智能的发展非常有价值。风暴将受益于强大的现有合作伙伴关系，包括成功的能源部EPSCOR项目，用于建模转换器主导的电力系统。 Storm还建立在高级人员与桑迪亚国家实验室，国家可再生能源实验室和太平洋西北国家实验室的合作伙伴关系的基础上。此外，该项目将利用与关键行业/社区合作伙伴（Kartorium，Kotzebue Electric Association，East River Electric Coop，Missouri River Energy Services，国家农村电气合作协会，Siemens，Sioux Valley Energy，Sioux Valley Energy，for Galena的可持续能源，Galena的可持续能源，以及Versant Power的Intortal Inforts Infort and Indertial the Intortal of Suthort of Suthratial teem Underial teem，审查标准。