CPS: Medium: Collaborative Research: Demand Response & Workload Management for Data Centers with Increased Renewable Penetration

CPS：媒介：协作研究：需求响应

基本信息

批准号：
1739344
负责人：
Junshan Zhang
金额：
$ 50万
依托单位：
Arizona State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-01 至 2021-11-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1739344&HistoricalAwards=false
关键词：
CPS Medium Collaborative Research Demand

项目摘要

The confluence of two powerful global trends, (1) the rapid growth of cloud computing and data centers with skyrocketing energy consumption, and (2) the accelerating penetration of renewable energy sources, is creating both severe challenges and tremendous opportunities. The fast growing renewable generation puts forth great operational challenges since they will cause large, frequent, and random fluctuations in supply. Data centers, on the other hand, offer large flexible loads in the grid. Leveraging this flexibility, this project will develop fundamental theories and algorithms for sustainable data centers with a dual goal of improving data center energy efficiency and accelerating the integration of renewables in the grid via data center demand response (DR) and workload management. Specifically, the research findings will shed light on data center demand response while maintaining their performance, which will help data centers to decide how to participate in power market programs. Further, the success of data center demand response will help increase renewable energy integration and reduce the carbon footprint of data centers, contributing to global sustainability. The PIs will leverage fruitful collaboration to eventually bring the research to bear on ongoing industry standardization and development efforts. The PIs teach courses spanning networks, games, smart grid and optimization, and are strongly committed to promoting diversity by providing research opportunities to underrepresented students. Built on the PIs expertise on data centers and the smart grid, this project takes an interdisciplinary approach to develop fundamental theories and algorithms for sustainable data centers. The research tasks are organized under two well-coordinated thrusts, namely agile data center DR and adaptive workload management. The strategies and decisions of data center DR will be made based on the workload management algorithms that balance quality of service and energy efficiency and determine the supply functions. The workload management algorithms will optimize quality of service under the electric load constraints imposed by DR accordingly. This project will make three unique contributions: (1) new market programs with strategic participation of data centers in DR, instead of passive price takers, (2) fundamental understanding of the impacts of power network constraints on data center DR and new distributed algorithms for solving optimal power flow with stochastic renewable supplies, and (3) high-performance dynamic server provisioning and load balancing algorithms for large scale data centers under time-varying and stochastic electric load constraints and on-site renewable generation.

两种强大的全球趋势的汇合，（1）云计算和数据中心的快速增长随着能源消耗而飞涨，以及（2）可再生能源的加速渗透正在构成严重的挑战和巨大的机会。快速增长的可再生能源一代提出了巨大的运营挑战，因为它们会引起供应的巨大，频繁和随机的波动。另一方面，数据中心在网格中提供了较大的柔性负载。为了利用这种灵活性，该项目将开发基本理论和算法，用于可持续数据中心，其双重目标是通过数据中心需求响应（DR）和工作负载管理来提高数据中心的能源效率并加速在网格中的可再生能源集成。具体而言，研究结果将阐明数据中心的需求响应，同时保持其性能，这将帮助数据中心决定如何参与电力市场计划。此外，数据中心需求响应的成功将有助于增加可再生能源整合并减少数据中心的碳足迹，从而有助于全球可持续性。 PI将利用富有成果的合作来最终将研究促进正在进行的行业标准化和发展工作。 PI教授涵盖网络，游戏，智能电网和优化的课程，并强烈致力于通过为人数不足的学生提供研究机会来促进多样性。基于数据中心和智能电网的PIS专业知识，该项目采用了跨学科的方法来开发可持续数据中心的基本理论和算法。研究任务是在两个协调的推力下组织的，即敏捷数据中心DR和自适应工作负载管理。数据中心DR的策略和决策将基于平衡服务质量和能源效率并确定供应功能的工作负载管理算法做出。工作负载管理算法将在DR施加的电力负载约束下优化服务质量。该项目将做出三个独特的贡献：（1）新的市场计划，随着数据中心在DR中的战略参与而不是被动价格接受者，（2）对电力网络约束对数据中心的影响的基本了解和新的分布式算法对使用随机可再生用品解决最佳功率流，以及（3）在随时间变化和随机的电力负载约束和现场可再生生成的情况下，大规模数据中心的高性能动态服务器配置和负载平衡算法。