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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

范宏 徐涛 贾庆山

南方电网技术2025,Vol.19Issue(3):174-187,14.
南方电网技术2025,Vol.19Issue(3):174-187,14.DOI:10.13648/j.cnki.issn1674-0629.2025.03.016

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

范宏 1徐涛 1贾庆山2

作者信息

  • 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
  • 折叠

摘要

Abstract

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 data-model driven method in integrated energy systems with data centers are introduced in detail.On this Basis,a framework for schedul-ing 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

Key words

data center/integrated energy systems/hybrid data-model driven/optimization scheduling

分类

动力与电气工程

引用本文复制引用

范宏,徐涛,贾庆山..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[J].南方电网技术,2025,19(3):174-187,14.

基金项目

国家重点研发计划资助项目(2022YFA1004600).Supported by the National Key Research and Development Program of China(2022YFA1004600). (2022YFA1004600)

南方电网技术

OA北大核心

1674-0629

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