CPS:Medium:Collaborative Research: Smart Power Systems of the Future: Foundations for Understanding Volatility and Improving Operational Reliability
CPS:Medium:Collaborative Research: Smart Power Systems of the Future: Foundations for Understanding Volatility and Improving Operational Reliability
批准号:
1135598
负责人:
Sean Meyn
金额:
$70.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-10-01 至 2012-12-31
中文摘要
该项目解决了可再生间歇性发电在电网中的整合的影响。 这包括对系统可靠性、价格波动以及经济和环境效率的复杂传感、通信和驱动能力的考虑。 如果不精心设计其架构,未来的智能电网可能会降低可靠性。 价格的波动性可能会增加,而高价格的根源可能更难确定,因为战略政策难以察觉。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;物理的、网络的和经济的,捕捉可靠性、价格波动以及经济和环境效率之间的基本权衡,(B)开发用于量化各级决策信息价值的计算工具,(c)开发在存在信息限制的情况下在配电层执行分布式鲁棒控制设计的工具,(d)开发动态经济模型,该模型可以处理消费者反馈对未来电力市场的实时影响,最后,(e)开发跨层设计原则和度量标准,以解决未来网格的关键体系结构问题。该项目通过减少新技术集成的系统级障碍,包括新的可再生能源的整合。了解性能的基本限制对于目前正在改造我们能源系统基础设施的政策制定者来说是必不可少的。 至关重要的是,我们要确保向更智能的电力基础设施的过渡不会危及我们未来20年电力供应的可靠性。教育工作和推广活动将为工程,经济和数学学生提供多学科培训,并将提高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。
英文摘要
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.
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