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

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信息，而电力供应中断可能会引发信息和决策能力的严重损失，可能导致重大经济损失。为了降低关键风险并确定这些基础设施之间日益增长的相互依赖所产生的协同效应，该关键弹性相互依存基础设施系统和流程(CRISP)项目的目标是通过了解如何利用并最大限度地提高电力和计算基础设施之间的新出现的协同效应，来提高电力和计算基础设施的弹性和效率。该项目将在计算和电网研究以及工业实践中产生广泛影响，导致电力和计算基础设施的更好设计及其管理的改进，并有利于两者的弹性和效率。项目成果将以开源软件的形式通过论文、讲座和模型向研究和产业界传播。参与的学生和博士后研究员将获得全面的系统层面的了解，使他们能够将优化和能源市场中的概念结合起来。该项目将开发优化公式，以获得关于基础设施协调所产生的弹性和经济效益的理论见解。它还将调查新的市场设计，这些设计适当地激励在各种计算资产之间提供大规模(以虚拟功率流的形式)的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)和可行的计算灵活性。为了实现这些目标，该项目将在随机规划模型中嵌入这些优化公式，以确定对两个基础设施都有利的最佳系统布局。此外，该项目将为不同类型的计算提供商开发合适的公用事业函数，ISO(联邦能源管理委员会下的独立系统运营商)可以使用这些函数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。

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.