CPS:Medium:Collaborative Research: Smart Power Systems of the Future: Foundations for Understanding Volatility and Improving Operational Reliability

CPS：中：合作研究：未来的智能电力系统：理解波动性和提高运行可靠性的基础

• 批准号: 1259040
• 负责人: Sean Meyn
• 金额: $ 69.72万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-01-01 至 2016-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1259040&HistoricalAwards=false
• 关键词: CPS; Medium; Collaborative; Research; Smart

This project addresses the impact of the integration of renewable intermittent generation in a power grid. This includes the consideration of sophisticated sensing, communication, and actuation capabilities on the system's reliability, price volatility, and economic and environmental efficiency. Without careful crafting of its architecture, the future smart grid may suffer from a decrease in reliability. Volatility of prices may increase, and the source of high prices may be more difficult to identify because of undetectable strategic policies. This project addresses these challenges by relying on the following components: (a) the development of tractable cross-layer models; physical, cyber, and economic, that capture the fundamental tradeoffs between reliability, price volatility, and economic and environmental efficiency, (b) the development of computational tools for quantifying the value of information on decision making at various levels, (c) the development of tools for performing distributed robust control design at the distribution level in the presence of information constraints, (d) the development of dynamic economic models that can address the real-time impact of consumer's feedback on future electricity markets, and finally (e) the development of cross-layer design principles and metrics that address critical architectural issues of the future grid.This project promotes modernization of the grid by reducing the system-level barriers for integration of new technologies, including the integration of new renewable energy resources. Understanding fundamental limits of performance is indispensable to policymakers that are currently engaged in revamping the infrastructure of our energy system. It is critical that we ensure that the transition to a smarter electricity infrastructure does not jeopardize the reliability of our electricity supply twenty years down the road. The educational efforts and outreach activities will provide multidisciplinary training for students in engineering, economics, and mathematics, and will raise awareness about the exciting research challenges required to create a sustainable energy future.

该项目解决了可再生间歇发电在电网中整合的影响。这包括考虑复杂的传感、通信和驱动能力对系统的可靠性、价格波动性以及经济和环境效率。如果不认真设计其架构，未来的智能电网可能会受到可靠性下降的影响。价格的波动性可能会增加，由于无法发现的战略政策，高价格的来源可能更难确定。该项目依靠以下组成部分应对这些挑战：(A)开发易于处理的跨层模型；(B)开发用于量化各级决策信息的价值的计算工具，(C)开发用于在存在信息约束的情况下在配电级别执行分布式稳健控制设计的工具，(D)开发能够处理消费者反馈对未来电力市场的实时影响的动态经济模型，最后(E)制定跨层设计原则和指标，以解决未来电网的关键架构问题。该项目通过减少新技术整合的系统级障碍，包括新的可再生能源的整合，促进电网的现代化。对于目前正在致力于改造我们能源系统基础设施的政策制定者来说，了解业绩的基本极限是不可或缺的。至关重要的是，我们必须确保向更智能的电力基础设施的过渡不会危及二十年后我们电力供应的可靠性。教育努力和推广活动将为学生提供工程、经济和数学方面的多学科培训，并将提高人们对创造可持续能源未来所需的令人兴奋的研究挑战的认识。