考虑数据中心用能时空可调的多区域能源站协同规划

Coordinated Planning of Multi-regional Energy Stations Considering Spatio-Temporal Adjustment of Energy Consumption in Data Centers

数字经济背景下,数据中心用能规模日益增长,数据中心用能在时间、空间尺度上的灵活性引起了广泛关注。为充分挖掘数据中心用能灵活性资源、促进综合能源系统资源优化配置,文中在计及电、气、热、冷多能转换互补、多区域互联互济、能量流-数据流深度耦合的基础上,提出了一种考虑数据中心用能时空可调的多区域能源站协同规划模型。首先,对数据负载及数据中心能耗进行建模,并分析了数据中心用能的时空可调特性。然后,以总成本最小为目标构建了考虑数据中心用能时空可调的多区域能源站规划模型。最后,根据是否考虑数据中心用能时空可调特性设置了3个场景进行对比分析,基于中国天津市某实际算例验证了考虑数据中心用能时空可调特性在提高设备利用率、降低投资成本等方面的积极作用。

In the context of the digital economy, the energy consumption of data centers is increasing day by day. The flexibility of data center energy consumption in the spatio-temporal scale has attracted widespread attention. In order to fully exploit the flexible resources of data center energy consumption and promote the optimal resource configuration of integrated energy system, based on the complementarity and multi-energy conversion of electricity, gas, heat, and cooling, multi-regional interconnection and mutual assistance, and deep coupling of energy flow and data flow, this paper proposes a collaborative planning model of multi-regional energy station considering the spatio-temporal adjustment of data center energy consumption. First, the data load and data center energy consumption are modeled, and the spatio-temporal adjustable characteristics of data center energy consumption are analyzed. Then, a planning model of multi-regional energy stations considering the spatio-temporal adjustment of data center energy consumption is constructed with the goal of minimizing the total cost. Finally, three scenarios are set up for comparative analysis with or without consideraton of the spatio-temporal adjustable characteristics of data center energy consumption. Based on an actual example in Tianjin municipality of China, the positive effects of considering the spatio-temporal adjustable characteristics of data center energy consumption in improving equipment utilization and reducing investment cost are verified.