Enormous energy consumption of data centers has a major impact on power systems by significantly increasing the electrical load. Due to the increase in electrical load, power systems are facing demand and supply miss-management problems. Therefore, power systems require efficient and intelligent ancillary services to maintain robustness, reliability, and stability. Data centers can provide the computational capabilities to manage power systems; however, data centers consume a tremendous amount of energy, and energy price accounts for a significant portion of their operational cost. Power system jobs will make this situation even more critical for data centers. In our work, we seek an Ancillary Services Model (ASM) to service data centers and power systems. In ASM, we find an optimal job scheduling technique for executing power systems’ jobs on data centers in terms of low power consumption, reduced makespan, and fewer preempted jobs. The power systems’ jobs include Optimal Power Flow (OPF) calculation, transmission line importance index, and bus importance index. Moreover, a Service Level Agreement (SLA) between data centers and power systems is shown to provide mutual benefits.

中文翻译：

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数据中心和电力系统的辅助服务模型

数据中心的巨大能源消耗显着增加了电力负荷，从而对电力系统产生了重大影响。由于电力负荷的增加，电力系统面临着供需管理失误的问题。因此，电力系统需要高效和智能的辅助服务来保持稳健性、可靠性和稳定性。数据中心可以提供管理电力系统的计算能力；然而，数据中心消耗大量能源，能源价格占其运营成本的很大一部分。电力系统工作将使这种情况对数据中心更加重要。在我们的工作中，我们寻求辅助服务模型 (ASM) 来为数据中心和电力系统提供服务。在 ASM 中，我们找到了一种最优的作业调度技术，用于在低功耗、缩短生产周期和更少的抢占作业方面执行数据中心的电力系统作业。电力系统的工作包括最优潮流（OPF）计算、输电线路重要性指数和母线重要性指数。此外，数据中心和电力系统之间的服务水平协议 (SLA) 显示可提供互惠互利。