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面向数据中心集聚化场景的储能配置及双层调度优化
摘要: 随着“东数西算”工程的推进，数据中心大量布局新能源电源侧。为提升电网调度的灵活性并优化储能系统配置，本文提出了一种面向数据中心集聚化场景的储能配置及双层调度优化方法。首先，模型上层通过最大化储能投资运营商的收益来优化储能的容量和位置，下层基于数据中心约束计算最优潮流得到节点边际电价，并将其反馈给上层以更新储能配置决策。其次，为了提高模型的收敛性，本文提出二分嵌入迭代法以抑制振荡问题。最后，对内蒙古地区IEEE30节点电力系统进行算例分析，仿真结果表明本方法能有效提升电网运行效率、数据中心服务质量以及储能投资的经济性。
Abstract: With the advancement of the "East Data West Computing" Project, data centers are extensively deployed on the renewable energy power supply side. To enhance the flexibility of power grid dispatching and optimize the configuration of energy storage systems, this paper proposes an energy storage configuration and dual-layer scheduling optimization method for the agglomeration scenarios of data centers. Firstly, the upper layer of the model optimizes the capacity and location of energy storage by maximizing the revenue of the energy storage investment operator. The lower layer calculates the optimal power flow based on the constraints of the data center to obtain the nodal marginal price, and feeds it back to the upper layer to update the energy storage configuration decision. Secondly, to improve the convergence of the model, this paper proposes the binary embedding iterative method to suppress oscillation problems. Finally, a case study was conducted on the IEEE 30-node power system in Inner Mongolia. The simulation results show that this method can effectively enhance the operational efficiency of the power grid, the service quality of data centers, and the economic efficiency of energy storage investment.
文章引用：刘嘉丽，黑文斌，赵磊，赵启新，金琨. 面向数据中心集聚化场景的储能配置及双层调度优化[J]. 现代工程与应用, 2025, 3(3): 12-23. DOI: https://doi.org/10.61784/mea2002.
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