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相互依赖——计算提供的信息使决策、商业、政府和社会互动成为可能，而电力供应中断可能会引发信息和决策能力的严重损失，从而可能导致造成重大经济损失。为了降低关键风险并确定这些基础设施日益增长的相互依赖性带来的协同效应，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电力和计算基础设施的弹性和效率来提高电力和计算基础设施的弹性和效率。两个基础设施之间正在显现协同效应。该项目将对计算和电网研究以及工业实践产生广泛影响，从而更好地设计电力和计算基础设施及其管理，并有利于两者的弹性和效率。项目结果将通过论文、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研究员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。该项目将开发优化公式，以获得基础设施协调带来的弹性和经济效益的理论见解。它还将研究新的市场设计，适当激励在各种计算资产之间大规模（以虚拟功率流的形式）提供时空负载调制灵活性，探索不同级别的协调（因为不同的业务和监管考虑因素支配它们）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，以确定有利于两个基础设施的最佳系统布局。此外，该项目将为不同类型的计算提供商开发合适的实用功能，ISO（联邦能源管理委员会下属的独立系统运营商）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 NSF 的法定使命，并被认为是值得的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来获得支持。

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）

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：
2022-12
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.

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：
2021-05
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

Spatio-temporal economic properties of multi-product supply chains

多产品供应链的时空经济特性

DOI：
10.1016/j.compchemeng.2022.107666
发表时间：
2022-03
期刊：
Computers & Chemical Engineering
影响因子：
4.3
作者：
Tominac, Philip A.;Zhang, Weiqi;Zavala, Victor M.
通讯作者：
Zavala, Victor M.

Evaluating Coupling Models for Cloud Datacenters and Power Grids

评估云数据中心和电网的耦合模型

DOI：
10.1145/3447555.3464868
发表时间：
2021-06-22
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：
A. Chien

A unifying modeling abstraction for infinite-dimensional optimization

用于无限维优化的统一建模抽象