数据-模型混合驱动的数据中心综合能源系统优化调度综述  

Review of Optimization Scheduling for Integrated Energy Systems with Data Centers Based on Hybrid Data-Model Driven

作　　者：范宏 徐涛 贾庆山[2] FAN Hong;XU Tao;JIA Qingshan(Department of Electrical Engineering,Shanghai University of Electric Power,Shanghai 200090,China;Intelligent and Networked System Research Center,Department of Automation,Tsinghua University,Beijing 100084,China)

机构地区：[1]上海电力大学电气工程学院,上海200090 [2]清华大学自动化系智能与网络化系统研究中心,北京100084

出　　处：《南方电网技术》2025年第3期174-187,共14页Southern Power System Technology

基　　金：国家重点研发计划资助项目(2022YFA1004600)。

摘　　要：为了实现数据中心的节能和减排,将数据中心融于综合能源系统进行协同优化是实现这一目标的有效途径。首先阐述了数据-模型混合驱动策略的原理,并分别对模型驱动和数据驱动在综合能源系统中的应用情况进行综述。然后,详细介绍了数据中心的负荷预测模型以及数据-模型混合驱动在数据中心综合能源系统中的应用现状,在此基础上,提出了一种基于数据-模型混合驱动的数据中心综合能源系统调度策略框架。最后,对目前研究存在的问题进行了讨论,并对未来的发展方向做出展望,为该领域的研究人员提供参考。To achieve energy efficiency and emissions reduction in data centers,integrating data centers into integrated energy systems for collaborative optimization is an effective approach to achieve this goal.Firstly,the principles of a hybrid data-model driven strategy are explained,then the applications of model-driven and data-driven approaches in integrated energy systems is reviewed separately.Secondly,the load forecasting model of the data center and the current status of the application of a hybrid datamodel driven method in integrated energy systems with data centers are introduced in detail.On this Basis,a framework for scheduling strategies in integrated energy systems with data centers utilizing a data-model hybrid drive is proposed.Finally,the current research issues are discussed,and an outlook on future development directions is provided,providing a reference for researchers in this field.

关 键 词：数据中心 综合能源系统 数据-模型混合驱动 优化调度 

分 类 号：TM734[电气工程—电力系统及自动化]