CAREER: Energy Storage Systems for Dynamic Reliability of Modern Clean Smart Grid

职业：用于现代清洁智能电网动态可靠性的储能系统

• 批准号: 2339456
• 负责人: Nga Nguyen
• 金额: $ 50.09万
• 依托单位: University of Wyoming
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-04-01 至 2029-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2339456&HistoricalAwards=false
• 关键词: CAREER; Energy; Storage; Systems; Dynamic

This NSF CAREER project aims to establish advanced strategies for energy storage systems (ESSs) management to ensure their effective operation and improve system stability and reliability within dynamic electric markets. The project will bring transformative changes in mathematical and control framework and methodology that address the challenges of increasing distributed stochastic components and intricate communication layers in modern power systems. This will be achieved by the development of improved models that fully reflect the dynamics, communication, coordination, and contributions of ESSs in a smart grid. The intellectual merits of the project include the establishment of science and engineering principles for the operation and management of ESSs in the context of dynamic cyber-physical systems to ensure secure and economic power grids, and an education plan to prepare future generations of engineers with the know-how to operate and advance modern systems. The broader impacts of the project reach beyond its research objectives. The project contributes to advancing the nation's energy security by improving the stability, equity, reliability, and environmental sustainability of the U.S. power grids. It also boosts the nation's economy by fostering the growth of energy sectors. The project also commits to social responsibility and inclusivity by contributing to diversifying the energy and technology workforce. The project promises a significant educational impact, including new curriculum development, enhancement of graduate and undergraduate research programs, and the creation of new mentorship and career opportunities, particularly for those from underrepresented groups in STEM.The project is motivated by the fact that despite environmental advantages, the rapid integration of renewable energy resources and electric vehicles causes significant challenges to power system stability and reliability. Although these challenges can be tackled by energy storage systems, their evolution is still in the early stages without established standards or management systems. The goals of this project are to i) determine key factors and establish dynamic stability models of energy storage systems to optimize their management to support large-scale renewable energy resources and electric vehicles; ii) develop a composite reliability model of integrated systems in the regulatory market using advanced machine learning techniques. The outcome of this research will contribute to the advancement of fundamental reliability evaluation and energy management approaches and the provision of solution algorithms that can be applied in different research domains. The project would have significant impacts on the operation of smart clean grids with the targets of multiple economic, technical, environmental, and societal advantages.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职业项目旨在建立用于储能系统（ESSS）管理的先进策略，以确保其有效的运行并提高动态电力市场中的系统稳定性和可靠性。该项目将带来数学和控制框架和方法论的变革性变化，以解决增加分布式随机组件以及现代电力系统中复杂的通信层的挑战。这将通过开发改进的模型的开发来实现，这些模型完全反映了智能电网中ESS的动态，交流，协调和贡献。该项目的智力优点包括在动态的网络物理系统的背景下建立科学和工程原则，以确保安全有经济的力量网格的运作和管理，以及一项教育计划，以使后代的工程师为经营和推动现代系统的专业知识做好准备。该项目的更广泛影响超出了其研究目标。该项目通过改善美国电力电网的稳定性，公平性，可靠性和环境可持续性来有助于提高美国的能源安全。这也通过促进能源部门的增长来促进国家的经济。该项目还通过为能源和技术劳动力多样化而致力于社会责任和包容性。该项目承诺将产生重大的教育影响，包括新的课程开发，毕业生和本科研究计划的增强以及创建新的指导和职业机会，特别是对于STEM中代表性不足的团体的人。尽管这些挑战可以通过储能系统来应对，但它们的演变仍处于早期阶段，而没有既定的标准或管理系统。该项目的目标是i）确定关键因素并建立动态稳定性存储系统的动态稳定性模型，以优化其管理层以支持大规模可再生能源和电动汽车； ii）使用先进的机器学习技术在监管市场中开发一个集成系统的综合可靠性模型。这项研究的结果将有助于基本可靠性评估和能源管理方法的发展，并提供可以应用于不同研究领域的解决方案算法。该项目将对智能清洁网格的运行产生重大影响，其目标是多种经济，技术，环境和社会优势的目标。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的智力优点评估和更广泛的影响来获得支持的。