基于需求响应的多数据中心连接线功率平滑方法

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Cloud Computing Pub Date : 2024-06-06 DOI:10.1109/TCC.2024.3410377
Ting Yang;Yuxing Hou;Shaotang Cai;Jie Yu;Haibo Pen
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引用次数: 0

摘要

地理分布式数据中心(DC)已经成为重要的能源消费者,这导致可再生能源(RES)集成到直流供电系统中。然而,RES的间歇性和用户请求的随机性会导致直流工作功率的显著波动。它可能对It设备的运行有害,并导致电网的不稳定。针对不同区域多数据中心紧密耦合互联场景,提出了一种基于需求响应的多数据中心配线功率平滑方法。通过负载调度对服务器集群的功率负载进行调节,建立了数据中心内时间任务迁移和数据中心间空间任务迁移相结合的控制模型,以应对高频功率波动。针对不间断电源电池的低频波动问题,建立了不间断电源电池控制模型。此外,我们设计了两阶段启发式功率调节算法,通过对两层滤波后的功率目标进行实时跟踪,达到平滑效果的最佳实践。最后,本文以4个不同区域、不同规模的互联直流园区为例,基于真实直流跟踪数据和风电光伏新能源发电数据进行了详细的性能仿真评估。仿真结果表明,该方法能有效地平滑多数据中心的联络线功率。此外,跨数据中心时间任务迁移是一种可行的解决方案,可以克服单个数据中心内任务迁移响应的局限性,从而降低UPS电池组充放电的频率,从而延长其使用寿命。这种方法有助于在保持电能质量的同时利用RES,并有助于降低数据中心不断增加的运行和维护费用。
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Multi-Data Center Tie-Line Power Smoothing Method Based on Demand Response
Geographically distributed data centers (DCs) have emerged as significant energy consumers, which has led to the integration of renewable energy sources (RES) into DC power provisioning systems. However, the intermittent nature of RES and the randomness of user requests can cause significant fluctuations in DC operating power. It can be detrimental to the operation of IT equipment and lead to instability in the power grid. In this paper, aiming for tightly coupled interconnection scenarios with multi-data centers in varying regions, a multi-data center tie-line power smoothing method based on demand response is proposed. By modulating the power load of server clusters with workload scheduling, we establish a control model combined with intra-DC temporal task migration and inter-DC spatial task migration to deal with high-frequency power fluctuations. The uninterruptible power supply (UPS) battery control model is established to tackle low-frequency fluctuations. Furthermore, we design the two-stage heuristic power regulation algorithm to achieve the best practice of smoothing effect by real-time tracking of power targets after two-layer filtering. Finally, this paper performs a detailed performance simulation evaluation based on tracking data from a real DC and wind and photovoltaic (PV) new energy generation data, using four interconnected DC parks of different sizes across different regions as examples. The simulation results demonstrate that the proposed method effectively smoothing the multi-data center's tie-line power. Additionally, inter-DC temporal task migration serves as a viable solution to overcome the limitations of task migration response within a single DC, reducing the frequency of UPS battery bank charges and discharges, which in turn prolongs their service life. This approach facilitates the utilization of RES while maintaining power quality, and it also aids in reducing the escalating operation and maintenance expenses of DCs.
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来源期刊
IEEE Transactions on Cloud Computing
IEEE Transactions on Cloud Computing Computer Science-Software
CiteScore
9.40
自引率
6.20%
发文量
167
期刊介绍: The IEEE Transactions on Cloud Computing (TCC) is dedicated to the multidisciplinary field of cloud computing. It is committed to the publication of articles that present innovative research ideas, application results, and case studies in cloud computing, focusing on key technical issues related to theory, algorithms, systems, applications, and performance.
期刊最新文献
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