储能科学与技术 ›› 2025, Vol. 14 ›› Issue (9): 3444-3446.doi: 10.19799/j.cnki.2095-4239.2025.0734

• 储能系统与工程 • 上一篇    

储能系统在大规模数据中心能源管理中的应用与网络安全

丁同朝()   

  1. 濮阳职业技术学院,河南 濮阳 457000
  • 收稿日期:2025-08-12 修回日期:2025-08-13 出版日期:2025-09-28 发布日期:2025-09-05
  • 作者简介:丁同朝 (1981—),男,本科,讲师,研究方向为大数据技术、网络安全,E-mail:dtc9999@126.com

Application and network security of energy storage systems in energy management of large scale data centers

Tongchao DING()   

  1. Puyang Vocation Technology College, Puyang 457000, Henan, China
  • Received:2025-08-12 Revised:2025-08-13 Online:2025-09-28 Published:2025-09-05

摘要:

大规模数据中心和网络云技术的快速发展,导致数据中心相关产业技术不断升级,同时也带来了不断增加的能源需求。传统数据中心为了满足自身电力需要会配备大功耗电能传输设备。储能系统的不断优化升级,为大规模数据中心的能源管理提供了新的控制方式。对此,本研究综述了现阶段数据中心储能系统架构运行特征和类别,包括中央结构和分布式储能架构,详细总结归纳了不同架构的优势和局限性。此外,研究探讨了储能系统在负载削峰安全控制和新能源集成安全控制方面的应用,以及为确保网络安全所采取的策略。通过储能系统的动态应用,数据中心可以更有效地管理能源,降低峰值用电,集成新能源,从而降低成本和环境影响。

关键词: 储能, 大规模, 数据管理, 网络安全

Abstract:

The rapid development of large-scale data centers and network cloud technology has led to continuous technological upgrades in data center related industries, while also bringing about increasing energy demand. Traditional data centers are equipped with high-power energy transmission devices to meet their own power needs. With the continuous optimization and upgrading of energy storage systems, new control methods have been provided for energy management in large-scale data centers. In this regard, this study reviews the operational characteristics and categories of current data center energy storage system architectures, including central structures and distributed energy storage architectures, and summarizes in detail the advantages and limitations of different architectures. In addition, the study explored the application of energy storage systems in load shedding safety control and new energy integration safety control, as well as the strategies adopted to ensure network security. Through the dynamic application of energy storage systems, data centers can more effectively manage energy, reduce peak electricity consumption, integrate new energy, and thereby reduce costs and environmental impact.

Key words: energy storage, large-scale, data management, network security

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