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Electricity Cost Saving Strategy in Data Centers by Using Energy Storage

机译：利用储能节省数据中心的电费策略

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摘要

Electricity expenditure comprises a significant fraction of the total operating cost in data centers. Hence, cloud service providers are required to reduce electricity cost as much as possible. In this paper, we consider utilizing existing energy storage capabilities in data centers to reduce electricity cost under wholesale electricity markets, where the electricity price exhibits both temporal and spatial variations. A stochastic program is formulated by integrating the center-level load balancing, the server-level configuration, and the battery management while at the same time guaranteeing the quality-of-service experience by end users. We use the Lyapunov optimization technique to design an online algorithm that achieves an explicit tradeoff between cost saving and energy storage capacity. We demonstrate the effectiveness of our proposed algorithm through extensive numerical evaluations based on real-world workload and electricity price data sets. As far as we know, our work is the first to explore the problem of electricity cost saving using energy storage in multiple data centers by considering both the spatial and temporal variations in wholesale electricity prices and workload arrival processes.
机译：电力支出占数据中心总运营成本的很大一部分。因此，要求云服务提供商尽可能降低电费。在本文中，我们考虑利用数据中心中现有的能量存储功能来降低批发电力市场下的电力成本，在批发电力市场中，电价同时表现出时间和空间变化。通过集成中心级别的负载平衡，服务器级别的配置和电池管理，制定了一个随机程序，同时确保了最终用户的服务质量体验。我们使用李雅普诺夫（Lyapunov）优化技术来设计一种在线算法，该算法在成本节省和能量存储能力之间实现了明确的权衡。通过基于实际工作量和电价数据集的大量数值评估，我们证明了所提出算法的有效性。据我们所知，我们的工作是第一个通过考虑批发电价和工作量到达过程的时空变化来探索在多个数据中心使用能量存储来节省电费的问题。

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