文献类型：期刊文献

中文题名：数据中心冷水机组参与电力系统需求响应的方法及潜力评估

英文题名：Method and Potential Evaluation for Water Chiller Units in Data Center Participating in Demand Response of Power System

作者：范俊秋 赵庆明 王世蓉 唐文勇

第一作者：范俊秋

机构：[1]贵州电网有限责任公司,贵阳550002;[2]贵州理工学院人工智能与电气工程学院,贵阳550025

第一机构：贵州电网有限责任公司,贵阳550002

年份：2025

卷号：37

期号：9

起止页码：142-148

中文期刊名：电力系统及其自动化学报

外文期刊名：Proceedings of the CSU-EPSA

收录：;北大核心:【北大核心2023】；

基金：贵州省科技计划项目(黔科合支撑[2024]一般053);贵州理工学院高层次人才科研启动经费项目(2023GCC093)。

语种：中文

中文关键词：数据中心;冷却系统;需求侧响应;冷水机组;可响应时间占比

外文关键词：data center;cooling system;demand-side response;water chiller unit;proportion of response time

摘要：数据中心的高耗能特性使其成为一个潜力巨大的电网需求侧响应参与对象。本文以具有冷却塔间接冷却系统的数据中心为研究对象,在利用MATLAB建立机房集总热容参数模型的同时,联合TRNSYS软件对数据中心的全年运行情况进行仿真分析,验证了通过平板换热器代替冷水机组来实现短时中断冷水机组是完全可行的。同时,通过对5个典型气候区域数据中心的年度运行仿真来评估冷水机组参与电力需求侧响应的潜力。结果表明:冷水机组的可响应时间受地理和季节变化的双重影响,在第1季度冷水机组的可响应时间占比最大,在第3季度冷水机组基本不能参与电力系统需求侧响应;冷水机组可响应时间占比最大的2个区域是严寒地区和寒冷地区;可响应时间占比最小的区域是夏热冬暖地区。
The high energy consumption characteristics of a data center make it a potential participant in the demand-side response of power grid.In this paper,the data center with an indirect cooling system including a cooling tower is taken as the research object.MATLAB is used to establish a lumped heat capacity parameter model for the computer room.Meanwhile,TRNSYS software is combined to simulate and analyze the annual operation of the data center,proving that it is completely feasible to use flat plate heat exchangers instead of water chiller units to achieve short-term suspension of the units.At the same time,the potential of water chiller units participating in the demand-side response of electricity is evaluated through annual operation simulations of data centers in five typical climate zones.Results indicate that the response time of water chiller units is affected by both the geographical and seasonal changes.Specifically,the units have the highest proportion of response time in the first quarter,and they are basically unable to participate in the demand-side response of power system in the third quarter.The two regions with the highest proportion of response time for the units are severe cold and cold regions.The regions with the smallest proportion of response time are those with a hot summer and a warm winter.