面向低碳目标的数据中心与含新能源电-水耦合系统联合规划

张家祎, 曾博, 王源, 孟自帅, 梁晨

太阳能学报 ›› 2025, Vol. 46 ›› Issue (11) : 431-440.

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (11) : 431-440. DOI: 10.19912/j.0254-0096.tynxb.2024-1132

面向低碳目标的数据中心与含新能源电-水耦合系统联合规划

  • 张家祎, 曾博, 王源, 孟自帅, 梁晨
作者信息 +

JOINT PLANNING OF DATA CENTERS AND COUPLED ELECTRIC-WATER SYSTEMS WITH RENEWABLE ENERGY FOR LOW-CARBON GOALS

  • Zhang Jiayi, Zeng Bo, Wang Yuan, Meng Zishuai, Liang Chen
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文章历史 +

摘要

数据中心作为一种高速发展的新兴负荷,具有高能耗和高水耗特性,间接导致大量碳排放。为响应国家低碳发展目标并促进资源可持续利用,提出一种考虑分布式新能源接入及碳交易市场的数据中心与配电网-配水网联合规划策略。考虑模型中的不确定性,为兼顾系统的经济性、低碳性与鲁棒性,采用两阶段分布鲁棒优化方法进行求解,并通过交替优化处理下层问题的0-1变量。最后,通过算例分析,验证所提方法的有效性。

Abstract

As an emerging load with rapid development, data centers consume alrge amounts of energy and water indirectly causing a large amount of carbon emissions. In order to respond to the national low-carbon development goal and promote the sustainable use of resources, a joint planning strategy of data center and distribution network-water distribution network considering distributed renewable energy access and carbon trading market is proposed. Considering the uncertainty in the model, in order to balance the economy, low carbon and robustness of the system, a two-stage distributionally robust optimization method is used for the solution, and the 0-1 variables of the lower problem are dealt with by alternating optimization. Finally, the effectiveness of the proposed method is verified through a numerical case study.

关键词

碳排放 / 规划 / 数据中心 / 可再生能源 / 分布鲁棒优化

Key words

carbon emissions / planning / data centers / renewable energy / distributionally robust optimization

引用本文

导出引用
张家祎, 曾博, 王源, 孟自帅, 梁晨. 面向低碳目标的数据中心与含新能源电-水耦合系统联合规划[J]. 太阳能学报. 2025, 46(11): 431-440 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1132
Zhang Jiayi, Zeng Bo, Wang Yuan, Meng Zishuai, Liang Chen. JOINT PLANNING OF DATA CENTERS AND COUPLED ELECTRIC-WATER SYSTEMS WITH RENEWABLE ENERGY FOR LOW-CARBON GOALS[J]. Acta Energiae Solaris Sinica. 2025, 46(11): 431-440 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1132
中图分类号: TM715   

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基金

国家自然科学基金(52177082)

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