论文标题

数据中心的多阶段电源调度框架,并在能源和调节市场中存储冷藏水

Multi-stage Power Scheduling Framework for Data Center with Chilled Water Storage in Energy and Regulation Markets

论文作者

Fu, Yangyang, Han, Xu, Stershic, Jessica, Zuo, Wangda, Baker, Kyri, Lian, Jianming

论文摘要

已经提出了利用电化学和热能储能系统,以作为降低数据中心峰值功率的一种策略。与电化学能源储存相比,由于其相对较小的资本和运营成本,诸如冷藏水箱的热量储能系统(例如冷藏水箱)因其相对较小的资本和运营成本而引起了越来越多的关注。但是,很少有研究研究使用资源来利用热能储能系统的可能性,以向网格提供辅助服务(例如频率调节)。本文提出了数据中心的协同控制策略,并通过调节冷水机容量,存储充电率和IT服务器CPU频率来提供频率调节服务。然后,开发了一个基于模型预测控制方案的三阶段多市场调度框架,以最大程度地降低参与能源和监管市场的数据中心的运营成本。该框架解决了电源基线调度问题,监管储备问题以及实时电源信号跟踪问题。仿真结果表明,利用热能存储可以增加调节能力的投标,降低能源成本和需求费用,并收获频率调节收入。在两天内提议的多市场调度框架可以降低运营成本高达8.8%($ 1,606.4),而基线为0.2%(\ $ 38.7)(\ $ 38.7)的能源成本降低,6.5%(\ $ 1,179.4)(\ $ 1,179.4)的需求减少,并从2.1%(\ $ 338.3)降低。

Leveraging electrochemical and thermal energy storage systems has been proposed as a strategy to reduce peak power in data centers. Thermal energy storage systems, such as chilled water tanks, have gained increasing attention in data centers for load shifting due to their relatively small capital and operational costs compared to electrochemical energy storage. However, there are few studies investigating the possibility of utilizing thermal energy storage system with resources to provide ancillary services (e.g., frequency regulation) to the grid. This paper proposes a synergistic control strategy for the data center with a chilled water storage providing frequency regulation service by adjusting the chiller capacity, storage charging rate, and IT server CPU frequency. Then, a three-stage multi-market scheduling framework based on a model predictive control scheme is developed to minimize operational costs of data centers participating in both energy and regulation markets. The framework solves a power baseline scheduling problem, a regulation reserve problem, and a real-time power signal tracking problem sequentially. Simulation results show that utilizing the thermal energy storage can increase the regulation capacity bid, reduce energy costs and demand charges, and also harvest frequency regulation revenues. The proposed multi-market scheduling framework in a span of two days can reduce the operational costs up to 8.8% ($1,606.4) compared to the baseline with 0.2% (\$38.7) energy cost reduction, 6.5% (\$1,179.4) from demand reduction, and 2.1% (\$338.3) from regulation revenues.

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