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CRISP 2.0 Type 2: Collaborative Research: Exploiting Interdependencies Between Computing and Electrical Power Infrastructures to Maximize Resilience and Flexibility

CRISP 2.0 类型 2：协作研究：利用计算和电力基础设施之间的相互依赖性来最大限度地提高弹性和灵活性

基本信息

批准号：
1832230
负责人：
Andrew Chien
金额：
$ 111.7万
依托单位：
University of Chicago
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-01 至 2023-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1832230&HistoricalAwards=false
关键词：
CRISP 2.0 Type Collaborative Research

项目摘要

Electrical power and computing infrastructures are increasingly interdependent. Computing provides information that enables decision-making, commerce, government, and social interaction, and disruptions in power supply may trigger critical losses of information and decision-making capabilities, resulting in the potential for significant economic losses. To reduce critical risks and identify synergies from the growing interdependence of these infrastructures, the objective of this Critical Resilient Interdependent Infrastructure Systems and Processes (CRISP) project is to increase the resilience and efficiency of the electrical power and computing infrastructures by understanding how to exploit and maximize emerging synergies between the two infrastructures. The project will have broad impact in computing and power grid research and industrial practice, enabling better design of power and computing infrastructures, leading to improved management and benefiting their resilience and efficiency. Project results will be disseminated to the research and industrial communities via papers, talks, and models as open-source software. Students and postdoctoral fellows involved will gain a holistic systems-level understanding, giving them the ability to combine concepts in optimization and energy markets.This project will develop optimization formulations for theoretical insights on resiliency and economic benefits that can result from infrastructure coordination. It will also investigate new market designs that properly incentivize the provision of spatio-temporal load modulation flexibility at large-scale (in the form of virtual power flows) among various kinds of computing assets, exploring different levels of coordination (because distinct business and regulatory constitutions govern them) and feasible computing flexibility. To achieve these goals, the project will embed those optimization formulations within stochastic programming models to identify optimal system layouts that benefit both infrastructures. In addition, the project will develop suitable utility functions for varied types of computing providers that the ISOs (Independent System Operators under Federal Energy Regulatory Commission) can use to quantify costs associated with load flexibility.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.

电力和计算基础设施日益相互依赖。计算为决策、商业、政府和社会互动提供了信息，电力供应中断可能会引发信息和决策能力的严重损失，从而导致潜在的重大经济损失。为了降低关键风险并从这些基础设施日益增长的相互依赖性中识别协同效应，该关键弹性相互依赖基础设施系统和流程（CRISP）项目的目标是通过了解如何利用和最大化两种基础设施之间的新兴协同效应，提高电力和计算基础设施的弹性和效率。该项目将对计算和电网研究以及工业实践产生广泛影响，使电力和计算基础设施能够更好地设计，从而改善管理并使其具有弹性和效率。项目成果将通过论文、演讲和模型作为开源软件传播给研究和工业界。参与的学生和博士后将获得整体系统级的理解，使他们能够将优化和能源市场的概念结合起来。该项目将为基础设施协调可能带来的弹性和经济效益的理论见解制定优化公式。它还将研究新的市场设计，以适当地激励在各种计算资产之间大规模（以虚拟潮流的形式）提供时空负载调制灵活性，探索不同层次的协调（因为不同的商业和监管宪法管理它们）和可行的计算灵活性。为了实现这些目标，该项目将把这些优化公式嵌入到随机规划模型中，以确定对两个基础设施都有利的最佳系统布局。此外，该项目将为各种类型的计算提供商开发合适的实用功能，iso（联邦能源监管委员会下的独立系统运营商）可以使用这些功能来量化与负载灵活性相关的成本。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

期刊论文数量（9）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Adapting Datacenter Capacity for Greener Datacenters and Grid

DOI：
10.1145/3575813.3595197
发表时间：
2023-01
期刊：
Proceedings of the 14th ACM International Conference on Future Energy Systems
影响因子：
0
作者：
Liuzixuan Lin;A. Chien
通讯作者：
Liuzixuan Lin;A. Chien

On Efficient Aggregation of Distributed Energy Resources

论分布式能源的高效聚合

DOI：
10.1109/cdc45484.2021.9683117
发表时间：
2021
期刊：
2021 60th IEEE Conference on Decision and Control (CDC
影响因子：
0
作者：
Gao, Zuguang;Alshehri, Khaled;Birge, John R.
通讯作者：
Birge, John R.

Evaluating Coupling Models for Cloud Datacenters and Power Grids

DOI：
10.1145/3447555.3464868
发表时间：
2021-06
期刊：
Proceedings of the Twelfth ACM International Conference on Future Energy Systems
影响因子：
0
作者：
Liuzixuan Lin;V. Zavala;A. Chien
通讯作者：
Liuzixuan Lin;V. Zavala;A. Chien

Network Structure and its Impact on Commodity Markets †

网络结构及其对商品市场的影响 –