数据中心电力能源系统的协同匹配方法研究  

Research on collaborative matching method of power energy system in data center

作　　者：白一飞 孟德香 赵淼 刘兴成 顾明 梁童 BAI Yi-fei;MENG De-xiang;ZHAO Miao;LIU Xing-cheng;GU Ming;LIANG Tong(China Mobile Group Design Institute Co.,Ltd.,Beijing 100080,China)

机构地区：[1]中国移动通信集团设计院有限公司,北京100080

出　　处：《电信工程技术与标准化》2025年第4期13-19,25,共8页Telecom Engineering Technics and Standardization

摘　　要：分布式能源的大力发展为数据中心的节能减排提供了巨大机遇。然而,如何把具有多量、异质、碎片化、随机性的分布式能源与数据中心的用电负载进行供需协同匹配成为了一个重要难题。因此,本文针对光伏、储能装置、市政电力和数据中心组成的多能源系统,以数据中心用电负载特征曲线为匹配函数,提出了光伏、储能装置和市政电力的协同匹配方法,解决复杂调度难题,实现最优运行目标。通过实际案例验证该方法的有效性,结果表明,该方法能够有效协同多种分布式能源的运行,最小化系统的净运行成本,相较于仅市政电力供电的系统减少了17%的市政电量,降低了22%的净运行成本。The vigorous development of distributed energy resources presents significant opportunities for energy conservation and emission reduction in data centers.However,the challenge arises in eff ectively synergizing and matching the diverse,heterogeneous,fragmented,and stochastic distributed energy resources with the electrical load demands of data centers.Addressing this critical issue,this study proposes a coordination method for photovoltaic systems,energy storage devices,and municipal electricity within a multi-energy system that also includes data centers.This method employs the electrical load characteristic curve of the data center as the matching function to solve complex scheduling problems and achieve optimal operational objectives.The eff ectiveness of the proposed method is validated through practical case studies,demonstrating its ability to eff ectively coordinate the operation of multiple distributed energy resources and minimize the net operating cost of the system.The proposed method cuts municipal electricity use by 17%and lowers net operating costs by 22%versus a municipal electricity-only system.

关 键 词：数据中心 分布式能源 协同匹配 最优运行目标 

分 类 号：TN86[电子电信—信息与通信工程]