基于基于视觉IoT平台的数据中心可调节潜力的共享储能规划
Lei Su1, Wanli Feng1, Haoyu Ma2
1State Grid Hubei Provincial Eletric Power Co., Ltd. Electric Power Research Institute, Wuhan, 430074, China.
Scientific reports
|August 16, 2025
概括
本研究介绍了数据中心组的共享储能规划方法,通过利用各种能源需求来优化成本和效益. 它提高了分散式储能系统的利用率和经济效率.
科学领域:
- 能源系统工程 能源系统工程
- 运营研究 运营研究
- 计算机科学 计算机科学
背景情况:
- 数据中心的分散能源存储因利用率低和经济效率差而受到影响.
- 现有的配置缺乏协调的规划和利益分享机制.
研究的目的:
- 为数据中心集团提出共享的储能规划方法,以提高经济效率和利用率.
- 通过合作开发一个框架,尽量减少投资成本,最大限度地提高运营效益.
主要方法:
- 建立了一个共享的储能运营框架,包括容量分配,成本共享和基于纳什讨价还价的利分配.
- 开发了一个两阶段的随机优化模型,考虑到可再生能源,工作量和温度的不确定性.
- 集成了一个房间级能源管理模型,对工作负载和HVAC系统具有可调节的潜力.
- 提出了一种改进的L形算法,用于有效和计算效率高的规划.
主要成果:
- 拟议的方法有效地将投资成本降至最低,并最大限度地提高数据中心集团的运营效益.
- 在四种场景中模拟结果验证了该方法在提高储能利用率方面的有效性.
- 该框架确保联盟成员之间公平分配利益.
结论:
- 共享能源存储规划为分散的数据中心能源存储的经济效率低下提供了可行的解决方案.
- 开发的优化模型和算法为协调共享存储和联盟操作提供了强大的工具.
- 利用可调节的潜力和场景间的互补性是优化数据中心能源管理的关键.
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