Configuration Optimization of Integrated Energy System for Data Center Considering Multiple Energy Storage Facilities

doi:10.11930/j.issn.1004-9649.202206048

Abstract

Abstract: Data center is the key infrastructure of China digital development. It is urgent to carry out research on reducing the comprehensive energy cost of data center through configuring multiple energy storage facilities. An economic analysis is made on the energy storage technical paths for data center from the overall perspective of optimal configuration of the data center integrated energy system and operation strategy of energy system. A case study is made by taking a data center in Beijing as an example, and results show that optimal configuration of emergency and peak-shaving energy storage as well as system operation strategy can substantially reduce the system operating cost and annual equipment investment cost.

Key words: data center, battery energy storage, cold storage, operation optimization

SUN Qiang, SUN Zhihuang, PAN Hangping, CHEN Jiejun, ZHU Chanxia, CHEN Qian, ZHOU Jiawei. Configuration Optimization of Integrated Energy System for Data Center Considering Multiple Energy Storage Facilities[J]. Electric Power, 2022, 55(9): 1-7.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202206048

https://www.electricpower.com.cn/EN/Y2022/V55/I9/1

References

[1] 艾瑞咨询. 2020年中国数据中心行业研究报告[R]. 上海: 上海艾瑞市场咨询有限公司, 2020.
[2] 国家能源局. 2020年全社会用电量同比增长3.1%[EB/OL]. (2021-01-20) [2021-05-30]. http://www.nea.gov.cn/2021-01/20/c_139682386.htm.
[3] 中国信息通信研究院. 数据中心白皮书(2022年)[R]. 北京: 中国信息通信研究院, 2022.
[4] 马玉草, 张铁峰, 许正阳, 等. 信息基础设施能耗分析及现状与趋势[J]. 电力信息与通信技术, 2022, 20(4): 79–87
MA Yucao, ZHANG Tiefeng, XU Zhengyang, et al. Energy consumption analysis and current situation and trend of information infrastructure[J]. Electric Power Information and Communication Technology, 2022, 20(4): 79–87
[5] 工信部信息通信发展司. 全国数据中心应用发展指引(2020)[R]. 北京: 工信部信息通信发展司, 2021.
[6] 李康, 李欣, 张子凡, 等. 基于电力物联网建设的数据中心能耗管理研究[J]. 上海电力大学学报, 2021, 37(3): 241–246,283
LI Kang, LI Xin, ZHANG Zifan, et al. Research progress of data center energy management based on ubiquitous power Internet of Things construction[J]. Journal of Shanghai University of Electric Power, 2021, 37(3): 241–246,283
[7] 曹雨洁, 丁肇豪, 王鹏, 等. 能源互联网背景下数据中心与电力系统协同优化(二): 机遇与挑战[J]. 中国电机工程学报, 2022, 42(10): 3512–3527
CAO Yujie, DING Zhaohao, WANG Peng, et al. Coordinated operation for data center and power system in the context of energy Internet(Ⅱ): opportunities and challenges[J]. Proceedings of the CSEE, 2022, 42(10): 3512–3527
[8] 余潇潇, 宋福龙, 周原冰, 等. “新基建”对中国“十四五”电力需求和电网规划的影响分析[J]. 中国电力, 2021, 54(7): 11–17
YU Xiaoxiao, SONG Fulong, ZHOU Yuanbing, et al. Investigations on the impact of new infrastructure on electricity forecast and power system planning during the 14 th five-year plan period[J]. Electric Power, 2021, 54(7): 11–17
[9] 林正冲, 戚思睿, 苟吉伟, 等. 新电改形势下集中化大型数据中心战略投资和商业模式[J]. 中国电力, 2021, 54(11): 37–46
LIN Zhengchong, QI Sirui, GOU Jiwei, et al. Strategic investment and business models of large centralized data centers under the new power system reform[J]. Electric Power, 2021, 54(11): 37–46
[10] 陈璟, 杨洪明, 邓友均. 考虑不间断电源储能的数据中心电-冷联供系统优化运行[J]. 电力科学与技术学报, 2019, 34(3): 129–135
CHEN Jing, YANG Hongming, DENG Youjun. Optimal operation of combined cooling and power system in green data center considering UPS[J]. Journal of Electric Power Science and Technology, 2019, 34(3): 129–135
[11] 桑丙玉, 王德顺, 杨波, 等. 基于经济性的互联网数据中心光-储协同优化配置[J]. 电力系统保护与控制, 2020, 48(17): 131–138
SANG Bingyu, WANG Deshun, YANG Bo, et al. Collaborative optimization configuration of photovoltaic-energy storage based on economy in an Internet data center[J]. Power System Protection and Control, 2020, 48(17): 131–138
[12] 白磊. 探讨锂电池在数据中心的应用[J]. 现代电视技术, 2020(3): 138–141
[13] 王月, 盛凯, 常金凤, 等. 数据中心基础设施关键技术应用及发展[J]. 信息通信技术与政策, 2021, 47(4): 27–31
WANG Yue, SHENG Kai, CHANG Jinfeng, et al. Application and development of key technologies in data center infrastructure[J]. Information and Communications Technology and Policy, 2021, 47(4): 27–31
[14] 吕佳炜, 张沈习, 程浩忠, 等. 集成数据中心的综合能源系统能量流–数据流协同规划综述及展望[J]. 中国电机工程学报, 2021, 41(16): 5500–5521
LYU Jiawei, ZHANG Shenxi, CHENG Haozhong, et al. Review and prospect on coordinated planning of energy flow and workload flow in the integrated energy system containing data centers[J]. Proceedings of the CSEE, 2021, 41(16): 5500–5521
[15] WANG D, REN C G, SIVASUBRAMANIAM A, et al. Energy storage in datacenters[J]. ACM SIGMETRICS Performance Evaluation Review, 2012, 40(1): 187–198.
[16] 苏立群. 上海地区典型数据中心错峰蓄冷方案探讨[J]. 制冷与空调(四川), 2021, 35(1): 118–124,128
SU Liqun. Discussion on cold storage scheme of typical data center in Shanghai[J]. Refrigeration & Air Conditioning, 2021, 35(1): 118–124,128
[17] 张先提, 王琳. 广州某数据中心水蓄冷系统优化配置分析研究[J]. 暖通空调, 2021, 51(2): 86–90
ZHANG Xianti, WANG Lin. Optimal configuration of water cool storage system of a data center in Guangzhou[J]. Heating Ventilating & Air Conditioning, 2021, 51(2): 86–90
[18] 吴冬青, 陈向阳. 上海某大型数据中心水蓄冷系统设计方案研究[J]. 暖通空调, 2017, 47(12): 58–64
WU Dongqing, CHEN Xiangyang. Water cool storage system design for a large data center in Shanghai[J]. Heating Ventilating & Air Conditioning, 2017, 47(12): 58–64
[19] 黄庆河, 曹连华, 蔡宇. 水蓄冷技术在数据中心的应用研究[J]. 暖通空调, 2016, 46(10): 1–4,17
HUANG Qinghe, CAO Lianhua, CAI Yu. Research on application of chilled water storage technology to data centers[J]. Heating Ventilating & Air Conditioning, 2016, 46(10): 1–4,17
[20] 段轶伊. 水蓄冷技术在数据中心的应用实例分析[J]. 制冷与空调, 2015, 15(9): 81–86
DUAN Yiyi. The application of chilled-water storage for air-condition system in data center[J]. Refrigeration and Air-Conditioning, 2015, 15(9): 81–86
[21] 吴云芸, 方家琨, 艾小猛, 等. 计及多种储能协调运行的数据中心实时能量管理[J]. 电力自动化设备, 2021, 41(10): 82–89
WU Yunyun, FANG Jiakun, AI Xiaomeng, et al. Real-time energy management of data center considering coordinated operation of multiple types of energy storage[J]. Electric Power Automation Equipment, 2021, 41(10): 82–89
[22] 华北电力大学. 点亮绿色云端-中国数据中心能耗与可再生能源使用潜力研究[R]. 北京: 华北电力大学, 2019.
[23] 中国电子学会. 中国数据中心可再生能源应用发展报告(2020)[R]. 北京: 中国电子学会, 2020.
[24] 唐建华, 方兴. 浅谈UPS在数据机房中的节能与维护[J]. 技术与市场, 2021, 28(7): 131,133
[25] 吕胜华. 深圳市某办公建筑冷源蓄冷方案与经济性分析[D]. 哈尔滨: 哈尔滨工业大学, 2020.
LV Shenghua. Cold energy storage schemes and economic analysis of an office building in Shenzhen[D]. Harbin: Harbin Institute of Technology, 2020.
[26] 孙湛冬, 焦娇, 李伟, 等. 基于改进蚁群算法的电力云数据中心任务调度策略研究[J]. 电力系统保护与控制, 2022, 50(2): 95–101
SUN Zhandong, JIAO Jiao, LI Wei, et al. A task scheduling strategy for a power cloud data center based on an improved ant colony algorithm[J]. Power System Protection and Control, 2022, 50(2): 95–101
[27] 党彬, 邹启群, 张滨, 等. 基于HSA-PSO的配电网源-储协同优化控制方法[J]. 中国电力, 2022, 55(4): 63–69
DANG Bin, ZOU Qiqun, ZHANG Bin, et al. Generation-storage cooperative optimization control method for distribution network based on HSA-PSO algorithm[J]. Electric Power, 2022, 55(4): 63–69
[28] 张子仪, 蔡泽祥, 郭采珊, 等. 面向泛在电力物联网的分布式云数据中心优化选址[J]. 电力系统保护与控制, 2020, 48(3): 36–42
ZHANG Ziyi, CAI Zexiang, GUO Caishan, et al. Optimization of distributed cloud computing data center layout for ubiquitous power Internet of Things[J]. Power System Protection and Control, 2020, 48(3): 36–42
[29] 白中华, 李强, 陈晶, 等. 储能电站在多站融合场景下的运行策略优化[J]. 中国电力, 2021, 54(6): 136–144
BAI Zhonghua, LI Qiang, CHEN Jing, et al. Operation strategy optimization of energy storage power station in multi-station integration scenario[J]. Electric Power, 2021, 54(6): 136–144
[30] 盛海华, 王德林, 马伟, 等. 基于大数据的继电保护智能运行管控体系探索[J]. 电力系统保护与控制, 2019, 47(22): 168–175
SHENG Haihua, WANG Delin, MA Wei, et al. Exploration of intelligent operation management system of relay protection based on big data[J]. Power System Protection and Control, 2019, 47(22): 168–175