Interdependence Analysis and Co-optimization of Scattered Data Centers and Power Systems

2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS) Pub Date : 2022-07-01 DOI:10.1109/ICDCS54860.2022.00129

Yung-Tsai Weng, H. Nguyen

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引用次数: 2

Abstract

The energy consumption of Internet Data Centers (IDCs) is rapidly increasing and may account for 20.9% of global energy consumption in 2030. This huge demand will change the power system operations significantly in the future because IDCs are different from the traditional loads in power systems [1] . Specifically, IDCs are energy-intensive loads that can dominate and alter the nearby power flow directions, thus posing challenges to the regulation of power systems. Also, working loads migration across IDCs at different locations and time slots can disturb the real-time power balance in power systems. Besides, IDCs’ intensive electricity demand rising following the expansion of IDCs might not be met due to supply limits of the power infrastructure. Moreover, IDCs scattered in a power grid can introduce stress and overload "weak" power transmission lines as well as cause other operational violations in power systems, such as voltages and frequency. All these effects will become more pronounced with more and larger IDCs.

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分散数据中心与电力系统的相互依赖分析与协同优化

互联网数据中心(idc)的能源消耗正在快速增长，到2030年可能占全球能源消耗的20.9%。由于idc不同于电力系统中的传统负荷[1]，这种巨大的需求将在未来显著改变电力系统的运行方式。具体来说，idc是能源密集型负荷，可以支配和改变附近的潮流方向，从而对电力系统的调节提出挑战。此外，在不同位置和时隙的idc之间，工作负载的迁移会破坏电力系统的实时功率平衡。此外，由于电力基础设施的供应限制，idc扩张带来的密集电力需求可能无法得到满足。此外，分散在电网中的idc可能会给“弱”输电线路带来应力和过载，并导致电力系统中的其他操作违规，例如电压和频率。所有这些影响将随着更多更大的国际发展中心而变得更加明显。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)

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