Algorithms for Modern Power Systems PI Workshop

现代电力系统算法 PI 研讨会

• 批准号: 1841312
• 负责人: Baris Coskunuzer
• 金额: $ 4.95万
• 依托单位: University of Texas at Dallas
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2022-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1841312&HistoricalAwards=false
• 关键词: Algorithms; Modern; Power; Systems; PI

The Division of Mathematical Sciences (DMS) at the National Science Foundation (NSF) has recently formed a partnership with the Office of Electricity Delivery and Energy Reliability (OE) at the U.S. Department of Energy (DOE) to support fundamental mathematical and statistical research that aims to develop novel methodology and algorithms for improvement of the security, reliability, and efficiency of the modern power systems. The new program, named the Algorithms for Modern Power Systems (AMPS), intends to catalyze a broad range of interdisciplinary research initiatives at the forefront of power system engineering, mathematics, statistics, and financial mathematics. The objective of this proposal is to request support to organize the NSF AMPS PI's workshops, to be held in the fall terms of 2018 and 2019. The upcoming NSF AMPS PI's workshops will gather principal investigators funded by the AMPS program along with the stakeholders from DOE and other government agencies, to report the progress from the research projects, and to facilitate creation, transfer and application of knowledge on modern power grids. Resilience of power systems is of the utmost importance to our daily lives. Understanding the causes and impact of power disruption -- from random failures to natural disasters to terrorist attacks -- is the key to the societal sustainability and well-being. The ability to integrate concepts and methods from different domains is essential to our understanding of the power system functionality and, hence, to enhancing the national security. Furthermore, as broadly recognized nowadays, the nature of power system analysis does not fit within a paradigm of any single discipline and requires development of novel algorithms that transcend traditional disciplinary boundaries. As the NSF Strategic Plan FY 2018--2022 emphasizes, ``combining our knowledge enables us to find more robust solutions''. The NSF AMPS PI's workshops will create a unique opportunity for interaction among diverse teams of researchers and practitioners to discuss fundamental challenges of modern power systems and to offer interdisciplinary insights on finding more secure and reliable solutions to analysis of modern power grids and critical infrastructures, in general.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.

美国国家科学基金会(NSF)数学科学部(DMS)最近与美国能源部(DOE)电力输送和能源可靠性办公室(OE)建立了合作伙伴关系，以支持基础数学和统计研究，旨在开发新的方法和算法，以提高现代电力系统的安全性、可靠性和效率。这项名为现代电力系统算法(AMPS)的新计划旨在推动电力系统工程、数学、统计学和金融数学前沿的广泛跨学科研究计划。这项提议的目的是请求支持组织国家科学基金会AMPS PI的研讨会，该研讨会将于2018年和2019年秋季举行。即将到来的NSF AMPS PI研讨会将汇集由AMPS计划资助的主要研究人员，以及来自能源部和其他政府机构的利益相关者，报告研究项目的进展，并促进现代电网知识的创造、转移和应用。电力系统的弹性对我们的日常生活至关重要。了解电力中断的原因和影响--从随机故障到自然灾害再到恐怖袭击--是社会可持续性和福祉的关键。能够整合不同领域的概念和方法，对于我们理解电力系统的功能，从而提高国家安全是至关重要的。此外，正如当今广泛认识的那样，电力系统分析的本质不适合任何单一学科的范例，需要开发超越传统学科边界的新算法。正如NSF 2018-2022财年战略计划所强调的那样，“将我们的知识结合起来，使我们能够找到更强有力的解决方案”。NSF AMPS PI的研讨会将为不同的研究人员和从业者团队之间的互动创造一个独特的机会，讨论现代电力系统的根本挑战，并提供跨学科的见解，为分析现代电网和关键基础设施寻找更安全和可靠的解决方案。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。