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Electricity-Carbon Coordinated Dispatching Strategy for Interconnected Data Centers Based on Nodal Carbon Potential
HUAN Jiajia, LIU Jiawen, LIU Guozhong, WEN Fushuan, CHEN Biyun, GUO Shaoqing
Electric Power Construction ›› 2026, Vol. 47 ›› Issue (7) : 90-100.
PDF(3700 KB)
PDF(3700 KB)
Electricity-Carbon Coordinated Dispatching Strategy for Interconnected Data Centers Based on Nodal Carbon Potential
[Objective] Under the wave of digital transformation in various sectors, the data center industry is booming and showing a new trend of clustering and wide-area interconnection. Given the high energy consumption and high carbon emissions that are common in data centers, this paper aims to guide them to actively participate in the low-carbon dispatching of the power grid based on the spatio-temporal flexibility of their computing loads, in order to achieve the goals of energy conservation, carbon reduction, and economic operation for both data centers and the power grid. [Methods] This paper proposes a high-precision dynamic carbon emission accounting method, which takes into account the spatio-temporal differences in network losses and carbon emissions. It accurately calculates the key "nodal carbon potential" signal through a power iteration traceability algorithm and, based on this signal, proposes a coordinated two-layer dispatching model for interconnected data centers and the power grid, where the upper-layer model aims to minimize the operation cost, carbon emissions, and renewable energy curtailment, while the lower-layer model aims to minimize the integrated electricity-carbon cost. The dispatching model interacts and iterates through the carbon potential and load adjustment signals between the upper and lower layers to find the optimal dispatching strategy for the system. [Results] The case study based on the improved IEEE 39-bus system shows that under the proposed coordinated dispatching strategy, data centers actively transfer online loads to low-carbon potential nodes for processing during high-carbon potential periods and delay the processing of local offline loads. During low-carbon potential periods, they take on more online loads and concentrate on processing previously delayed offline loads, achieving significant energy conservation and carbon reduction effects. [Conclusions] The two-layer optimization model proposed in this paper can effectively guide data centers to achieve economic and low-carbon coordination, providing a new technical tool for the green transition of data centers and the low-carbon dispatching of the power grid.
data center / carbon emission flow / electricity-carbon synergy / optimal dispatching
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利益冲突声明(Conflict of Interests): 所有作者声明不存在利益冲突。
作者贡献声明(Authors' Contributions): 郇嘉嘉提出研究的核心概念与方向,撰写论文初稿;刘嘉文负责文献调研与数据整理,并参与实验过程与数据分析;刘国中设计研究方案与论文框架;文福拴指导整体研究过程;陈碧云参与论文的修订、审核与校对工作;郭少卿参与技术开发与算法实现,完成模型构建与实验分析。所有作者均阅读并同意了论文终稿内容。
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