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：
1832208
负责人：
Victor Zavala Tejeda
金额：
$ 67.44万
依托单位：
University of Wisconsin-Madison
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 2022-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1832208&HistoricalAwards=false
关键词：
CRISP 2.0 Type Collaborative Research

项目摘要

Electrical power and computing infrastructures are increasingly interdependent with each other--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, potentially resulting in 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 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, leading to better design of power and computing infrastructures and their improved management, and benefiting resilience and efficiency of both. 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) amongst various kinds of computing assets, exploring different levels of coordination (because distinct business and regulatory considerations 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越来越与彼此相互依存 - 计算提供了能够实现决策，商业，政府和社会互动的信息，而电源的破坏可能会触发信息和决策能力的严重损失，从而可能导致巨大的经济损失。为了减少关键风险并确定这些基础设施不断增长的相互依存关系的协同作用，这种关键的弹性相互依存的相互依存的基础架构系统和流程（CRISP）项目的目标是提高电力和计算基础架构的弹性和效率，通过如何利用和最大程度地利用和最大程度地利用两种基础架构之间的基础结构。该项目将对计算和电网研究和工业实践产生广泛的影响，从而更好地设计电力和计算基础设施及其改善的管理，并使两者的韧性和效率受益。项目结果将通过论文，谈话和模型作为开源软件将研究和工业社区传播到研究和工业社区。涉及的学生和博士后研究员将获得整体的系统级别的理解，使他们能够在优化和能源市场中结合概念。该项目将对基础设施协调可能产生的关于弹性和经济利益的理论见解进行优化公式。它还将调查新的市场设计，这些新市场设计在各种计算资产中都在大规模（以虚拟功率流的形式）（以虚拟功率流的形式）提供时空载荷调制灵活性，探索不同级别的协调（因为独特的业务和监管方面的考虑）以及可行的计算柔韧性。为了实现这些目标，该项目将将这些优化公式嵌入随机编程模型中，以识别有益于两个基础架构的最佳系统布局。此外，该项目将为ISO（联邦能源监管委员会下的独立系统运营商）可用于量化与负载灵活性相关的成本的不同类型的计算提供商的合适效用功能。该奖项反映了NSF的法定任务，并认为通过基金会的智力和更广泛的影响，可以通过评估来审查Criteria，并通过评估来进行评估。

项目成果

期刊论文数量（8）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Flexibility from networks of data centers: A market clearing formulation with virtual links

数据中心网络的灵活性：具有虚拟链路的市场清算方案

DOI：
10.1016/j.epsr.2020.106723
发表时间：
2020
期刊：
Electric Power Systems Research
影响因子：
3.9
作者：
Zhang, Weiqi;Roald, Line A.;Chien, Andrew A.;Birge, John R.;Zavala, Victor M.
通讯作者：
Zavala, Victor M.

The Environmental Potential of Hyper-Scale Data Centers: Using Locational Marginal CO2 Emissions to Guide Geographical Load Shifting

超大规模数据中心的环境潜力：利用位置边际二氧化碳排放来指导地理负载转移

DOI：
发表时间：
2021
期刊：
Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS
影响因子：
0
作者：
Lindberg, Julia;Roald, Line;Lesieutre, Bernard
通讯作者：
Lesieutre, Bernard

Pricing and remunerating electricity storage flexibility using virtual links

使用虚拟链路的电力存储定价和报酬灵活性

DOI：
10.1016/j.compchemeng.2022.108019
发表时间：
2022
期刊：
Computers & Chemical Engineering
影响因子：
4.3
作者：
Zhang, Weiqi;Tominac, Philip A.;Zavala, Victor M.
通讯作者：
Zavala, Victor M.

A Unifying Modeling Abstraction for Infinite-Dimensional Optimization

DOI：
10.1016/j.compchemeng.2021.107567
发表时间：
2021-06
期刊：
ArXiv
影响因子：
0
作者：
J. Pulsipher;Weiqi Zhang;Tyler J. Hongisto;V. Zavala
通讯作者：
J. Pulsipher;Weiqi Zhang;Tyler J. Hongisto;V. Zavala

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