数据中心多能互补分布式能源系统设计与运行优化研究

任效效; 李小龙; 薛凯; 吴炫; 韩小渠; 王进仕; 严俊杰

doi:10.7652/xjtuxb202501009

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数据中心多能互补分布式能源系统设计与运行优化研究

更新时间：2026-01-06

- 数据中心多能互补分布式能源系统设计与运行优化研究
- Research on the Design and Operation Optimization of Distributed Multi-Energy Systems for Data Centers
- 西安交通大学学报 2025年59卷第1期页码：93-104
- 作者机构：
  
  1.西安交通大学动力工程多相流国家重点实验室， 710049，西安
  2.中国电力工程顾问集团西北电力设计院有限公司， 710075，西安
- 作者简介：
  
  任效效（1995—），男，博士生；
  王进仕（通信作者），男，教授，博士生导师。
- 基金信息：
  
  国家自然科学基金“能源有序转化”基础科学中心资助项目(51888103)
- DOI：10.7652/xjtuxb202501009
  中图分类号： TK9
- 收稿：2024-04-16，
  
  网络首发：2024-09-12，
  
  纸质出版：2025-01-10
- 稿件说明：
移动端阅览
任效效, 李小龙, 薛凯, 等. 数据中心多能互补分布式能源系统设计与运行优化研究[J]. 西安交通大学学报, 2025,59(1):93-104.

REN Xiaoxiao, LI Xiaolong, XUE Kai, et al. Research on the Design and Operation Optimization of Distributed Multi-Energy Systems for Data Centers[J]. Journal of Xi’an Jiaotong University, 2025, 59(1): 93-104.
任效效, 李小龙, 薛凯, 等. 数据中心多能互补分布式能源系统设计与运行优化研究[J]. 西安交通大学学报, 2025,59(1):93-104. DOI： 10.7652/xjtuxb202501009.

REN Xiaoxiao, LI Xiaolong, XUE Kai, et al. Research on the Design and Operation Optimization of Distributed Multi-Energy Systems for Data Centers[J]. Journal of Xi’an Jiaotong University, 2025, 59(1): 93-104. DOI： 10.7652/xjtuxb202501009.

摘要

为实现数据中心的低碳转型和能效提升，提出了一种集成多种可再生能源和储能设备的多能互补分布式能源系统作为其供能系统。建立了包含生命周期成本、碳排放、能耗、电网购电率和热量浪费率等指标的优化目标体系。制定了两种考虑负荷特征的运行策略，采用改进的多目标蝗虫优化算法对系统容量配置进行求解。为了分析优化目标和运行策略对系统优化的影响，通过组合不同优化目标和运行策略形成了多种优化设计方案，采用层次分析法和熵权法确定评价指标的权重，并利用多准则妥协解排序法进行评价排序。针对青海省某数据中心的案例，获得其能源系统的优化设计与运行方案。研究表明：运行策略主要影响吸收式制冷机和地源热泵的容量，而优化目标主要影响储能设备的容量；在相同的运行策略下，增加优化目标可提升系统的综合性能；对于不同的方案，生命周期成本、碳排放、能耗等基础优化目标值变化较小，而电网购电率和热量浪费率变化较大；通过实施五目标优化，即在基础优化目标的基础上增加热量浪费率、电网购电率，系统的综合性能得到了显著提升，其中热量浪费率和电网购电率分别降低了62.30%和25.92%，可再生能源发电占比增加了2%。

Abstract

To achieve low-carbon transformation and energy efficiency improvement of data centers

a distributed multi-energy system that incorporates various renewable energy sources and energy storage devices is introduced as their energy supply system. Firstly

an optimization objective system comprising life cycle costs

carbon emissions

energy consumption

grid electricity purchase rate

and heat waste rate is established. Subsequently

two operation strategies considering load characteristics are developed

and an improved multi-objective grasshopper optimization algorithm is employed to determine the system capacity configuration. To analyze the impact of optimization objectives and operation strategies on system optimization

various optimized design schemes are formulated by combining different optimization objectives and operation strategies. The analytic hierarchy process and entropy weight method are used to assign weights to evaluation criteria

and the vlseKriterijumska optimizacija I kompromisno resenje (VIKOR) method is applied for evaluation ranking. A case study on a data center in Qinghai province is conducted to obtain its energy system optimal design and operation scheme. The results indicate that the capacities of the absorption chiller and the ground source heat pump are influenced by the operation strategy

while the capacity of the energy storage device is affected by the optimization objective. Under the same operation strategy

increasing the number of optimization objectives can enhance the overall performance of the system. The values of the fundamental optimization objectives such as life cycle costs

carbon emissions

and energy consumption show minor variations across different schemes

whereas the grid electricity purchase rate and heat waste rate exhibit significant changes. Through the implementation of five-objective optimization

which integrates heat waste rate and grid electricity purchase rate with the basic optimization objectives

the system's overall performance is notably enhanced. Specifically

the heat waste rate and grid electricity purchase rate are reduced by 62.30% and 25.92%

respectively

while renewable energy generation sees a 2% increase.

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references

李远征 , 龙信鑫 , 周纯杰 , 等 . 高比例新能源电网-分布式数据中心集群协同优化运行研究 [J ] . 中国科学：技术科学 , 2024 , 54 ( 1 ): 119 - 135 .

LI Yuanzheng , LONG Xinxin , ZHOU Chunjie , et al . Coordinated operations of highly renewable power systems and distributed data centers [J ] . Scientia Sinica (Technologica) , 2024 , 54 ( 1 ): 119 - 135 .

朱子恒 , 张策 , 丁肇豪 , 等 . 数据中心纳入全国碳排放权交易市场机制研究 [J ] . 中国电机工程学报 , 2024 , 44 ( 14 ): 5562 - 5573 .

ZHU Ziheng , ZHANG Ce , DING Zhaohao , et al . Incorporating data centers into China's national carbon emissions trading system [J ] . Proceedings of the CSEE , 2024 , 44 ( 14 ): 5562 - 5573 .

REN Xiaoxiao , HAN Zijun , MA Jinpeng , et al . Life-cycle-based multi-objective optimal design and analysis of distributed multi-energy systems for data centers [J ] . Energy , 2024 , 288 : 129679 .

WANG Jinshi , REN Xiaoxiao , ZHANG Shuo , et al . Co-optimization of configuration and operation for distributed multi-energy system considering different optimization objectives and operation strategies [J ] . Applied Thermal Engineering , 2023 , 230 ( Part A ): 120655 .

徐聪 , 刘泰秀 , 隋军 , 等 . 多能源热互补分布式能源系统的节能率评价方法 [J ] . 电力系统自动化 , 2018 , 42 ( 4 ): 151 - 157 .

XU Cong , LIU Taixiu , SUI Jun , et al . Evaluation method for energy saving ratio of distributed energy system with multi-energy thermal complementarity [J ] . Automation of Electric Power Systems , 2018 , 42 ( 4 ): 151 - 157 .

卢胤龙 , 韩明新 , 任洪波 , 等 . 多能互补分布式能源系统优化设计研究进展 [J ] . 上海电力学院学报 , 2018 , 34 ( 3 ): 229 - 235 .

LU Yinlong , HAN Mingxin , REN Hongbo , et al . Progress on the design optimization of hybrid distributed energy systems [J ] . Journal of Shanghai University of Electric Power , 2018 , 34 ( 3 ): 229 - 235 .

GIMELLI A , MOTTOLA F , MUCCILLO M , et al . Optimal configuration of modular cogeneration plants integrated by a battery energy storage system providing peak shaving service [J ] . Applied Energy , 2019 , 242 : 974 - 993 .

REN Hongbo , GAO Weijun . A MILP model for integrated plan and evaluation of distributed energy systems [J ] . Applied Energy , 2010 , 87 ( 3 ): 1001 - 1014 .

WANG Yongli , MA Yuze , SONG Fuhao , et al . Economic and efficient multi-objective operation optimization of integrated energy system considering electro-thermal demand response [J ] . Energy , 2020 , 205 : 118022 .

JING Rui , ZHU Xingyi , ZHU Zhiyi , et al . A multi-objective optimization and multi-criteria evaluation integrated framework for distributed energy system optimal planning [J ] . Energy Conversion and Management , 2018 , 166 : 445 - 462 .

LUO Zhengyi , YANG Sheng , XIE Nan , et al . Multi-objective capacity optimization of a distributed energy system considering economy, environment and energy [J ] . Energy Conversion and Management , 2019 , 200 : 112081 .

荆有印 , 白鹤 , 张建良 . 太阳能冷热电联供系统的多目标优化设计与运行策略分析 [J ] . 中国电机工程学报 , 2012 , 32 ( 20 ): 82 - 87, 143 .

JING Youyin , BAI He , ZHANG Jianliang . Multi-objective optimization design and operation strategy analysis of a solar combined cooling heating and power system [J ] . Proceedings of the CSEE , 2012 , 32 ( 20 ): 82 - 87, 143 .

WANG Jiangjiang , MAO Tianzhi , DOU Chao . Configuration optimization with operation strategy of solar-assisted building cooling heating and power system to minimize energy consumption [J ] . Energy Procedia , 2016 , 88 : 742 - 747 .

WANG Yongli , WANG Yudong , HUANG Yujing , et al . Operation optimization of regional integrated energy system based on the modeling of electricity-thermal-natural gas network [J ] . Applied Energy , 2019 , 251 : 113410 .

WANG Huaizhi , ZHANG Rongquan , PENG Jianchun , et al . GPNBI-inspired MOSFA for Pareto operation optimization of integrated energy system [J ] . Energy Conversion and Management , 2017 , 151 : 524 - 537 .

曾依浦 , 戴毅茹 , 王坚 . 基于改进NSGA-Ⅲ的面向碳目标的区域综合能源系统容量优化 [J ] . 制造业自动化 , 2022 , 44 ( 5 ): 134 - 139 .

ZENG Yipu , DAI Yiru , WANG Jian . Capacity optimization of regional integrated energy system for carbon target based on improved NSGA-Ⅲ [J ] . Manufacturing Automation , 2022 , 44 ( 5 ): 134 - 139 .

LI Lingling , ZHENG Shengjie , TSENG M L , et al . Performance assessment of combined cooling, heating and power system operation strategy based on multi-objective seagull optimization algorithm [J ] . Energy Conversion and Management , 2021 , 244 : 114443 .

李锐 , 李鹏 . 基于改进人工鱼群算法的冷热电联产微网经济优化运行 [J ] . 电气技术 , 2014 ( 6 ): 63 - 68 .

LI Rui , LI Peng . Economical optimal operation of CCHP micro-grid system based on improved artificial fish swarm algorithm [J ] . Electrical Engineering , 2014 ( 6 ): 63 - 68 .

ZENG Chao , LUO Jianing , YUAN Yanping , et al . Energy, economic, and environmental (3E) performance assessment, comparison, and analysis of airport cargo terminal microgrid system under the islanded and grid-connected modes [J ] . Journal of Building Engineering , 2024 , 82 : 108270 .

孙强 , 孙志凰 , 潘杭萍 , 等 . 考虑多种储能的数据中心综合能源系统配置优化 [J ] . 中国电力 , 2022 , 55 ( 9 ): 1 - 7 .

SUN Qiang , SUN Zhihuang , PAN Hangping , et al . Configuration optimization of integrated energy system for data center considering multiple energy storage facilities [J ] . Electric Power , 2022 , 55 ( 9 ): 1 - 7 .

姚云龙 , 陆皞 , 孙悦 , 等 . “双碳”目标下新型数据中心发展路径探讨 [J ] . 中国工程咨询 , 2024 ( 2 ): 100 - 105 .

YAO Yunlong , LU Hao , SUN Yue , et al . Discussion on the development path of new data centers under the “dual-carbon” goal [J ] . China Engineering Consultants , 2024 ( 2 ): 100 - 105 .

REN Xiaoxiao , WANG Jinshi , HU Xiaoyang , et al . A novel demand response-based distributed multi-energy system optimal operation framework for data centers [J ] . Energy and Buildings , 2024 , 305 : 113886 .

LUO X J , OYEDELE L O , OWOLABI H A , et al . Life cycle assessment approach for renewable multi-energy system: a comprehensive analysis [J ] . Energy Conversion and Management , 2020 , 224 : 113354 .

WU Weidong , GUO Juanli , LI Jiwei , et al . A multi-objective optimization design method in zero energy building study: a case study concerning small mass buildings in cold district of China [J ] . Energy and Buildings , 2018 , 158 : 1613 - 1624 .

MIRJALILI S Z , MIRJALILI S , SAREMI S , et al . Grasshopper optimization algorithm for multi-objective optimization problems [J ] . Applied Intelligence , 2018 , 48 ( 4 ): 805 - 820 .

CAO Yan , NIKAFSHAN RAD H , HAMEDI JAMALI D , et al . A novel multi-objective spiral optimization algorithm for an innovative solar/biomass-based multi-generation energy system: 3E analyses, and optimization algorithms comparison [J ] . Energy Conversion and Management , 2020 , 219 : 112961 .

张指辉 , 张毅 , 李健宁 . 基于改进层次分析法与熵权法的目标选择模型 [J ] . 探测与控制学报 , 2022 , 44 ( 6 ): 117 - 121 .

ZHANG Zhihui , ZHANG Yi , LI Jianning . Target selection model based on improved AHP and entropy weight method [J ] . Journal of Detection & Control , 2022 , 44 ( 6 ): 117 - 121 .

张世翔 , 吕帅康 . 面向园区微电网的综合能源系统评价方法 [J ] . 电网技术 , 2018 , 42 ( 8 ): 2431 - 2448 .

ZHANG Shixiang , LÜ Shuaikang . Evaluation method of park-level integrated energy system for microgrid [J ] . Power System Technology , 2018 , 42 ( 8 ): 2431 - 2448 .

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