数据中心综合能源系统优化运行研究综述

doi:10.12204/j.issn.1000-7229.2022.11.001

电力建设 ›› 2022, Vol. 43 ›› Issue (11): 1-13.doi: 10.12204/j.issn.1000-7229.2022.11.001

• 双碳驱动下配电网与新型负荷互动关键技术·栏目主持穆云飞教授、宋毅教授级高工· • 上一篇下一篇

数据中心综合能源系统优化运行研究综述

马晓燕¹(), 穆云飞¹(), 李树荣²(), 姜欣阳¹(), 李华³(), 陈长金⁴()

1.智能电网教育部重点实验室(天津大学),天津市300072
2.国网河北省电力有限公司雄安新区供电公司,河北省雄安新区 071000
3.国网河北省电力有限公司涉县供电分公司,河北省邯郸市 056400
4.国网河北省电力有限公司电力培训中心,石家庄市 050000

收稿日期:2022-03-23 出版日期:2022-11-01 发布日期:2022-11-03
通讯作者: 马晓燕 E-mail:maxiaoyan@tju.edu.cn;yunfeimu@tju.edu.cn;675878701@qq.com;jiangxy@tju.edu.cn;575871502@qq.com;572371167@qq.com
作者简介:穆云飞(1984),男,博士,教授,研究方向为电力系统安全与稳定、综合能源集成与应用,E-mail: yunfeimu@tju.edu.cn;
李树荣(1991),男,硕士,研究方向为电能质量与微电网优化运行,E-mail: 675878701@qq.com;
姜欣阳(2000),男,硕士研究生,研究方向为数据中心的动态能耗建模、微电网的优化运行、5G基站与电网的融合等,E-mail: jiangxy@tju.edu.cn;
李华(1984),男,本科,研究方向为输变电设备运检与数据中心设备维护,E-mail: 575871502@qq.com;
陈长金(1983),男,硕士,研究方向为电缆设备运检,E-mail: 572371167@qq.com。
基金资助:
国家自然科学基金项目(52177107)

Review on the Optimal Operation of Integrated Energy System in Data Center

MA Xiaoyan¹(), MU Yunfei¹(), LI Shurong²(), JIANG Xinyang¹(), LI Hua³(), CHEN Changjin⁴()

1. Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Tianjin 300072, China
2. Xiong’an New Area Power Supply Company, State Grid Hebei Electric Power Co., Ltd., Xiong’an New Area 071000,Hebei Province, China
3. Shexian Power Supply Company, State Grid Hebei Electric Power Co., Ltd., Handan 056400,Hebei Province, China
4. State Grid Hebei Training Center, Shijiazhuang 050000, China

Received:2022-03-23 Online:2022-11-01 Published:2022-11-03
Contact: MA Xiaoyan E-mail:maxiaoyan@tju.edu.cn;yunfeimu@tju.edu.cn;675878701@qq.com;jiangxy@tju.edu.cn;575871502@qq.com;572371167@qq.com
Supported by:
National Natural Science Foundation of China(52177107)

摘要/Abstract

摘要：

作为数字基础设施的重要载体,数据中心的数量和规模不断增长,导致系统能源消耗与日俱增,运行成本成倍上升。而综合能源系统(integrated energy system, IES)是以电力系统为核心,涵盖供电/气/冷/热等能源产供销一体化的复杂系统,其优化运行可实现对多种能源的综合管理和经济调度,采用IES替代数据中心的供能系统将是降低数据中心运行成本的有效方案。目前对IES的典型架构尚未明确定义,对基于数据中心的IES优化运行问题鲜有研究。首先介绍了IES以及基于数据中心的IES典型物理框架;其次分析了系统中耦合型运行设备的物理模型和能源集线器(energy hub, EH)及其扩展模型在系统中的应用;在此基础上,总结和梳理了国内外IES及基于数据中心的IES的优化运行现状,并提出了基于数据中心的多能源输入-多能源耦合-多能源输出的运行方式;最后,对基于数据中心的IES中能源不确定性及负荷预测、能源动态建模、优化调度策略及效益评价等重点发展方向和潜在的可研究内容进行了展望,以期为未来相关的项目落地、仿真研发等提供参考和借鉴。

关键词: 综合能源系统(IES), 多能耦合, 优化运行, 数据中心

Abstract:

Data center, as an important carrier of digital infrastructure, has been growing rapidly in the number and scale, which results in increasing system energy consumption and operating costs. The integrated energy system (IES) is a complex system which takes the power system as the core and covers the production, supply and marketing of energy such as electricity, gas, cooling and heat. Its optimized operation can realize comprehensive management and economic dispatch of multiple energy sources. Using IES to replace the original energy supply system is an effective solution to reduce the operating cost of the data center. At present, the typical architecture of IES has not been clearly defined, and there is little research on the optimization operation of IES based on data center. Firstly, this paper introduces the typical physical framework of IES and data center-based IES. Secondly, it analyzes the physical model of the coupled operating equipment and the application of energy hub and its extended model in the system. On this basis, this paper summarizes and sorts out the current status of IES and the optimized operation of IES for data centers, and proposes an operation method based on data centers, including multiple energy input, coupling and output. Finally, this paper looks forward to the key development directions and potential research contents of energy uncertainty and load forecasting, energy dynamic modeling, optimized scheduling strategies, and benefit evaluation in IES based on data center, with a view to provide reference for future related project landing, simulation research and development.

Key words: integrated energy system(IES), multi-energy coupling, optimal operation, data center

中图分类号:

TM71

马晓燕, 穆云飞, 李树荣, 姜欣阳, 李华, 陈长金. 数据中心综合能源系统优化运行研究综述[J]. 电力建设, 2022, 43(11): 1-13.

MA Xiaoyan, MU Yunfei, LI Shurong, JIANG Xinyang, LI Hua, CHEN Changjin. Review on the Optimal Operation of Integrated Energy System in Data Center[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(11): 1-13.

图/表 6

图1 IES典型物理架构与设备示意

Fig.1 Typical physical architecture and equipment diagram of IES

图2 数据中心用电量分布图

Fig.2 Power consumption distribution of data center

图3 传统电制冷数据中心结构

Fig.3 Structure of data center with traditional electric refrigeration

图4 电转气精细化模型结构示意图

Fig.4 Structure diagram of refined model of P2G

图5 IES输入-输出端口示意图

Fig.5 Schematic of Input-output port for IES

图6 多能源输入-多能源耦合-多能源输出的数据中心IES结构

Fig.6 Structure of data center IES with multiple energy input, coupling and output

参考文献 77

[1]	国家发展改革委, 国家能源局. 国家发展改革委国家能源局关于印发能源发展“十三五”规划的通知[EB/OL]. (2021-07-19)[2022-03-01]. http://www.nea.gov.cn/2017-01/17/c_135989417.htm.
[2]	郭创新, 王惠如, 张伊宁, 等. 面向区域能源互联网的“源-网-荷”协同规划综述[J]. 电网技术, 2019, 43(9): 3071-3080.
	GUO Chuangxin, WANG Huiru, ZHANG Yining, et al. Review of “source-grid-load” co-planning orienting to regional energy internet[J]. Power System Technology, 2019, 43(9): 3071-3080.
[3]	WU J Z, YAN J Y, JIA H J, et al. Integrated energy systems[J]. Applied Energy, 2016, 167: 155-157. doi: 10.1016/j.apenergy.2016.02.075 URL
[4]	余晓丹, 徐宪东, 陈硕翼, 等. 综合能源系统与能源互联网简述[J]. 电工技术学报, 2016, 31(1): 1-13.
	YU Xiaodan, XU Xiandong, CHEN Shuoyi, et al. A brief review to integrated energy system and energy internet[J]. Transactions of China Electrotechnical Society, 2016, 31(1): 1-13.
[5]	SIMON H, LEONHARDT A, KAPS W. Actuator and energy management system comprising such actuators: US9287708[P]. 2016-03-15.
[6]	吕佳炜, 张沈习, 程浩忠, 等. 考虑互联互动的区域综合能源系统规划研究综述[J]. 中国电机工程学报, 2021, 41(12): 4001-4021.
	LÜ Jiawei, ZHANG Shenxi, CHENG Haozhong, et al. Review on district-level integrated energy system planning considering interconnection and interaction[J]. Proceedings of the CSEE, 2021, 41(12): 4001-4021.
[7]	别朝红, 王旭, 胡源. 能源互联网规划研究综述及展望[J]. 中国电机工程学报, 2017, 37(22): 6445-6462.
	BIE Zhaohong, WANG Xu, HU Yuan. Review and prospect of planning of energy internet[J]. Proceedings of the CSEE, 2017, 37(22): 6445-6462.
[8]	程浩忠, 胡枭, 王莉, 等. 区域综合能源系统规划研究综述[J]. 电力系统自动化, 2019, 43(7): 2-13.
	CHENG Haozhong, HU Xiao, WANG Li, et al. Review on research of regional integrated energy system planning[J]. Automation of Electric Power Systems, 2019, 43(7): 2-13.
[9]	OMALLEY M, KROPOSKI B. Energy comes together: The integration of all systems guest editorial[J]. IEEE Power and Energy Magazine, 2013, 11(5): 18-23.
[10]	National Renewable Energy Laboratory. Energy systems integration facility[EB/OL]. (2022-02-05)[2022-03-15]. http://www.nrel.gov/esif/.
[11]	European Commission. Horizon 2020[EB/OL]. (2022-02-05) http://ec.europa.eu/programmes/horizon2020/.
[12]	GUNDERSON R, YUN S J. South Korean green growth and the Jevons paradox: An assessment with democratic and degrowth policy recommendations[J]. Journal of Cleaner Production, 2017, 144: 239-247. doi: 10.1016/j.jclepro.2017.01.006 URL
[13]	国务院关于积极推进“互联网+”行动的指导意见[EB/OL]. (2015-07-04)[2022-03-15]. http://www.gov.cn/zhengce/content/2015-07/04/content_10002.htm.
[14]	国家发展改革委, 国家能源局. 关于推进多能互补集成优化示范工程建设的实施意见[EB/OL]. (2016-07-04)[2022-03-15]. http://www.gov.cn/xinwen/2016-07/08/content_5089389.htm.
[15]	世界智能大会. 将数据中心打造为新基建的绿色底座[EB/OL]. (2022-03-15). https://baijiahao.baidu.com/s?id=1715397295433034081&wfr=spider&for=pc.
[16]	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.
	LÜ 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.
[17]	慈松, 刘前卫, 康重庆, 等. 从“信息-能量”基本关系看信息能源深度融合[J]. 中国电机工程学报, 2021, 41(7): 2289-2297.
	CI Song, LIU Qianwei, KANG Chongqing, et al. Fundamental exploration into ICT-energy fusion[J]. Proceedings of the CSEE, 2021, 41(7): 2289-2297.
[18]	XIN S J, GUO Q L, SUN H B, et al. Cyber-physical modeling and cyber-contingency assessment of hierarchical control systems[J]. IEEE Transactions on Smart Grid, 2015, 6(5): 2375-2385. doi: 10.1109/TSG.2014.2387381 URL
[19]	JIN C Q, BAI X L, YANG C, et al. A review of power consumption models of servers in data centers[J]. Applied Energy, 2020, 265: 114806. doi: 10.1016/j.apenergy.2020.114806 URL
[20]	SHEHABI A, SMITH S, SARTOR D, et al. United States data center energy usage report[R]. Office of Scientific and Technical Information (OSTI), 2016.
[21]	贾宏杰, 穆云飞, 余晓丹. 对我国综合能源系统发展的思考[J]. 电力建设, 2015, 36(1): 16-25. doi: 10.3969/j.issn.1000–7229.2015.01.003
	JIA Hongjie, MU Yunfei, YU Xiaodan. Thought about the integrated energy system in China[J]. Electric Power Construction, 2015, 36(1): 16-25. doi: 10.3969/j.issn.1000–7229.2015.01.003
[22]	王伟亮, 王丹, 贾宏杰, 等. 能源互联网背景下的典型区域综合能源系统稳态分析研究综述[J]. 中国电机工程学报, 2016, 36(12): 3292-3306.
	WANG Weiliang, WANG Dan, JIA Hongjie, et al. Review of steady-state analysis of typical regional integrated energy system under the background of energy internet[J]. Proceedings of the CSEE, 2016, 36(12): 3292-3306.
[23]	WANG Y L, WANG Y D, HUANG Y J, 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. doi: 10.1016/j.apenergy.2019.113410 URL
[24]	曾鸣, 刘英新, 周鹏程, 等. 综合能源系统建模及效益评价体系综述与展望[J]. 电网技术, 2018, 42(6): 1697-1708.
	ZENG Ming, LIU Yingxin, ZHOU Pengcheng, et al. Review and prospects of integrated energy system modeling and benefit evaluation[J]. Power System Technology, 2018, 42(6): 1697-1708.
[25]	李志文, 李卫国, 王利利. 数据中心能耗分析研究[J]. 现代盐化工, 2018, 45(4): 36-37.
[26]	董军, 石杰, 高明煜, 等. 新型忆阻光伏电池的建模与分析[J]. 可再生能源, 2021, 39(3): 315-323.
	DONG Jun, SHI Jie, GAO Mingyu, et al. Novel modeling and analysis of the photovoltaic cell based on memristor characteristic[J]. Renewable Energy Resources, 2021, 39(3): 315-323.
[27]	WANG L F, SINGH C. PSO-based multidisciplinary design of A hybrid power generation system with statistical models of wind speed and solar insolation[C]// 2006 International Conference on Power Electronic, Drives and Energy Systems. New Delhi, India:IEEE, 2006:1-6.
[28]	JIN X L, MU Y F, JIA H J, et al. Dynamic economic dispatch of a hybrid energy microgrid considering building based virtual energy storage system[J]. Applied Energy, 2017, 194: 386-398. doi: 10.1016/j.apenergy.2016.07.080 URL
[29]	BAILERA M, LISBONA P, ROMEO L M, et al. Power to gas projects review: lab, pilot and demo plants for storing renewable energy and CO2[J]. Renewable and Sustainable Energy Reviews, 2017, 69: 292-312. doi: 10.1016/j.rser.2016.11.130 URL
[30]	SCHIEBAHN S, GRUBE T, ROBINIUS M, et al. Power to gas: technological overview, systems analysis and economic assessment for a case study in Germany[J]. International Journal of Hydrogen Energy, 2015, 40(12): 4285-4294. doi: 10.1016/j.ijhydene.2015.01.123 URL
[31]	朱兰, 王吉, 唐陇军, 等. 计及电转气精细化模型的综合能源系统鲁棒随机优化调度[J]. 电网技术, 2019, 43(1): 116-126.
	ZHU Lan, WANG Ji, TANG Longjun, et al. Robust stochastic optimal dispatching of integrated energy systems considering refined power-to-gas model[J]. Power System Technology, 2019, 43(1): 116-126.
[32]	杨经纬, 张宁, 王毅, 等. 面向可再生能源消纳的多能源系统: 述评与展望[J]. 电力系统自动化, 2018, 42(4): 11-24.
	YANG Jingwei, ZHANG Ning, WANG Yi, et al. Multi-energy system towards renewable energy accommodation: review and prospect[J]. Automation of Electric Power Systems, 2018, 42(4): 11-24.
[33]	GUANDALINI G, CAMPANARI S, ROMANO M C. Power-to-gas plants and gas turbines for improved wind energy dispatchability: energy and economic assessment[J]. Applied Energy, 2015, 147: 117-130. doi: 10.1016/j.apenergy.2015.02.055 URL
[34]	李富生, 李瑞生, 周逢权. 微电网技术及工程应用[M]. 北京: 中国电力出版社, 2013.
[35]	靳小龙, 穆云飞, 贾宏杰, 等. 融合需求侧虚拟储能系统的冷热电联供楼宇微网优化调度方法[J]. 中国电机工程学报, 2017, 37(2): 581-591.
	JIN Xiaolong, MU Yunfei, JIA Hongjie, et al. Optimal scheduling method for a combined cooling, heating and power building microgrid considering virtual storage system at demand side[J]. Proceedings of the CSEE, 2017, 37(2): 581-591.
[36]	WANG C S, LV C X, LI P, et al. modeling and optimal operation of community integrated energy systems: A case study from China[J]. Applied Energy, 2018, 230: 1242-1254. doi: 10.1016/j.apenergy.2018.09.042 URL
[37]	黄迪. 冰蓄冷空调控制系统的研究与应用[D]. 扬州: 扬州大学, 2013.
	HUANG Di. The study and application of the ice storage air conditioning control system[D]. Yangzhou: Yangzhou University, 2013.
[38]	孙可, 何德, 李春筱, 等. 考虑冰蓄冷空调多模式的工厂综合能源系统多能协同优化模型[J]. 电力建设, 2017, 38(12): 12-19. doi: DOI： 10.3969/j.issn.1000-7229.2017.12.002
	SUN Ke, HE De, LI Chunxiao, et al. Multi-energy cooperative optimization model of factory IES considering multi-model of ice storage[J]. Electric Power Construction, 2017, 38(12): 12-19. doi: DOI： 10.3969/j.issn.1000-7229.2017.12.002
[39]	胡荣, 马杰, 李振坤, 等. 分布式冷热电联供系统优化配置与适用性分析[J]. 电网技术, 2017, 41(2): 418-425.
	HU Rong, MA Jie, LI Zhenkun, et al. Optimal allocation and applicability analysis of distributed combined cooling-heating-power system[J]. Power System Technology, 2017, 41(2): 418-425.
[40]	GEIDL M, KOEPPEL G, FAVRE-PERROD P, et al. Energy hubs for the future[J]. IEEE Power and Energy Magazine, 2007, 5(1): 24-30.
[41]	王毅, 张宁, 康重庆. 能源互联网中能量枢纽的优化规划与运行研究综述及展望[J]. 中国电机工程学报, 2015, 35(22): 5669-5681.
	WANG Yi, ZHANG Ning, KANG Chongqing. Review and prospect of optimal planning and operation of energy hub in energy internet[J]. Proceedings of the CSEE, 2015, 35(22): 5669-5681.
[42]	陆家亮, 赵素平. 中国能源消费结构调整与天然气产业发展前景[J]. 天然气工业, 2013, 33(11): 9-15.
	LU Jialiang, ZHAO Suping. Optimization of energy consumption structure and natural gas industry development prospect in China[J]. Natural Gas Industry, 2013, 33(11): 9-15.
[43]	GEIDL M, ANDERSSON G. Optimal power flow of multiple energy carriers[J]. IEEE Transactions on Power Systems, 2007, 22(1): 145-155. doi: 10.1109/TPWRS.2006.888988 URL
[44]	MARTINEZ-MARES A, FUERTE-ESQUIVEL C R. A robust optimization approach for the interdependency analysis of integrated energy systems considering wind power uncertainty[J]. IEEE Transactions on Power Systems, 2013, 28(4): 3964-3976. doi: 10.1109/TPWRS.2013.2263256 URL
[45]	孙国强, 陈霜, 卫志农, 等. 计及相关性的电-气互联系统概率最优潮流[J]. 电力系统自动化, 2015, 39(21): 11-17.
	SUN Guoqiang, CHEN Shuang, WEI Zhinong, et al. Probabilistic optimal power flow of combined natural gas and electric system considering correlation[J]. Automation of Electric Power Systems, 2015, 39(21): 11-17.
[46]	张思德, 胡伟, 卫志农, 等. 基于机会约束规划的电-气互联综合能源系统随机最优潮流[J]. 电力自动化设备, 2018, 38(9): 121-128.
	ZHANG Side, HU Wei, WEI Zhinong, et al. Stochastic optimal power flow of integrated power and gas energy system based on chance-constrained programming[J]. Electric Power Automation Equipment, 2018, 38(9): 121-128.
[47]	张儒峰, 姜涛, 李国庆, 等. 考虑电转气消纳风电的电-气综合能源系统双层优化调度[J]. 中国电机工程学报, 2018, 38(19): 5668-5678.
	ZHANG Rufeng, JIANG Tao, LI Guoqing, et al. Bi-level optimization dispatch of integrated electricity-natural gas systems considering P2G for wind power accommodation[J]. Proceedings of the CSEE, 2018, 38(19): 5668-5678.
[48]	CLEGG S, MANCARELLA P. Integrated modeling and assessment of the operational impact of power-to-gas (P2G) on electrical and gas transmission networks[J]. IEEE Transactions on Sustainable Energy, 2015, 6(4): 1234-1244. doi: 10.1109/TSTE.2015.2424885 URL
[49]	GUANDALINI G, CAMPANARI S, ROMANO M C. Power-to-gas plants and gas turbines for improved wind energy dispatchability: Energy and economic assessment[J]. Applied Energy, 2015, 147: 117-130. doi: 10.1016/j.apenergy.2015.02.055 URL
[50]	卫志农, 张思德, 孙国强, 等. 计及电转气的电-气互联综合能源系统削峰填谷研究[J]. 中国电机工程学报, 2017, 37(16): 4601-4609.
	WEI Zhinong, ZHANG Side, SUN Guoqiang, et al. Power-to-gas considered peak load shifting research for integrated electricity and natural-gas energy systems[J]. Proceedings of the CSEE, 2017, 37(16): 4601-4609.
[51]	董帅, 王成福, 梁军, 等. 计及电转气运行成本的综合能源系统多目标日前优化调度[J]. 电力系统自动化, 2018, 42(11): 8-15.
	DONG Shuai, WANG Chengfu, LIANG Jun, et al. Multi-objective optimal day-ahead dispatch of integrated energy system considering power-to-gas operation cost[J]. Automation of Electric Power Systems, 2018, 42(11): 8-15.
[52]	张伊宁, 何宇斌, 晏鸣宇, 等. 计及需求响应与动态气潮流的电-气综合能源系统优化调度[J]. 电力系统自动化, 2018, 42(20): 1-8.
	ZHANG Yining, HE Yubin, YAN Mingyu, et al. Optimal dispatch of integrated electricity-natural gas system considering demand response and dynamic natural gas flow[J]. Automation of Electric Power Systems, 2018, 42(20): 1-8.
[53]	AMERI M, BESHARATI Z. Optimal design and operation of district heating and cooling networks with CCHP systems in a residential complex[J]. Energy and Buildings, 2016, 110: 135-148. doi: 10.1016/j.enbuild.2015.10.050 URL
[54]	顾伟, 陆帅, 王珺, 等. 多区域综合能源系统热网建模及系统运行优化[J]. 中国电机工程学报, 2017, 37(5): 1305-1316.
	GU Wei, LU Shuai, WANG Jun, et al. Modeling of the heating network for multi-district integrated energy system and its operation optimization[J]. Proceedings of the CSEE, 2017, 37(5): 1305-1316.
[55]	徐飞, 闵勇, 陈磊, 等. 包含大容量储热的电-热联合系统[J]. 中国电机工程学报, 2014, 34(29): 5063-5072.
	XU Fei, MIN Yong, CHEN Lei, et al. Combined electricity-heat operation system containing large capacity thermal energy storage[J]. Proceedings of the CSEE, 2014, 34(29): 5063-5072.
[56]	陈磊, 徐飞, 王晓, 等. 储热提升风电消纳能力的实施方式及效果分析[J]. 中国电机工程学报, 2015, 35(17): 4283-4290.
	CHEN Lei, XU Fei, WANG Xiao, et al. Implementation and effect of thermal storage in improving wind power accommodation[J]. Proceedings of the CSEE, 2015, 35(17): 4283-4290.
[57]	吕泉, 姜浩, 陈天佑, 等. 基于电锅炉的热电厂消纳风电方案及其国民经济评价[J]. 电力系统自动化, 2014, 38(1): 6-12.
	LÜ Quan, JIANG Hao, CHEN Tianyou, et al. Wind power accommodation by combined heat and power plant with electric boiler and its national economic evaluation[J]. Automation of Electric Power Systems, 2014, 38(1): 6-12.
[58]	CHEN X Y, KANG C Q, O'MALLEY M, et al. Increasing the flexibility of combined heat and power for wind power integration in China: modeling and implications[J]. IEEE Transactions on Power Systems, 2015, 30(4): 1848-1857. doi: 10.1109/TPWRS.2014.2356723 URL
[59]	王婉璐, 杨莉, 王蕾, 等. 考虑供热网储热特性的电-热综合能源系统优化调度[J]. 电力系统自动化, 2018, 42(21): 45-52.
	WANG Wanlu, YANG Li, WANG Lei, et al. Optimal dispatch of integrated electricity-heat energy system considering heat storage characteristics of heating network[J]. Automation of Electric Power Systems, 2018, 42(21): 45-52.
[60]	LI Z G, WU W C, SHAHIDEHPOUR M, et al. Combined heat and power dispatch considering pipeline energy storage of district heating network[J]. IEEE Transactions on Sustainable Energy, 2016, 7(1): 12-22. doi: 10.1109/TSTE.2015.2467383 URL
[61]	杨帅, 陈磊, 徐飞, 等. 基于能量流的电热综合能源系统弃风消纳优化调度模型[J]. 电网技术, 2018, 42(2): 417-426.
	YANG Shuai, CHEN Lei, XU Fei, et al. Optimal dispatch model of wind power accommodation in integrated electrical-thermal power system based on power flow model[J]. Power System Technology, 2018, 42(2): 417-426.
[62]	朱承治, 陆帅, 周金辉, 等. 基于电-热分时间尺度平衡的综合能源系统日前经济调度[J]. 电力自动化设备, 2018, 38(6): 138-143, 151.
	ZHU Chengzhi, LU Shuai, ZHOU Jinhui, et al. Day-ahead economic dispatch of integrated energy system based on electricity and heat balance in different time scales[J]. Electric Power Automation Equipment, 2018, 38(6): 138-143, 151.
[63]	方绍凤, 周任军, 许福鹿, 等. 考虑电热多种负荷综合需求响应的园区微网综合能源系统优化运行[J]. 电力系统及其自动化学报, 2020, 32(1): 50-57.
	FANG Shaofeng, ZHOU Renjun, XU Fulu, et al. Optimal operation of integrated energy system for park micro-grid considering comprehensive demand response of power and thermal loads[J]. Proceedings of the CSU-EPSA, 2020, 32(1): 50-57.
[64]	李晓露, 单福州, 宋燕敏, 等. 考虑热网约束和碳交易的多区域综合能源系统优化调度[J]. 电力系统自动化, 2019, 43(19): 52-59, 131.
	LI Xiaolu, SHAN Fuzhou, SONG Yanmin, et al. Optimal dispatch of multi-region integrated energy systems considering heating network constraints and carbon trading[J]. Automation of Electric Power Systems, 2019, 43(19): 52-59, 131.
[65]	SUN Q Y, CHEN Y. Multi-energy flow calculation method for we-energy based energy internet[C]// 2017 IEEE International Conference on Energy Internet. Beijing, China: IEEE, 2017: 30-35.
[66]	SHABANPOUR-HAGHIGHI A, SEIFI A R. Simultaneous integrated optimal energy flow of electricity, gas, and heat[J]. Energy Conversion and Management, 2015, 101: 579-591. doi: 10.1016/j.enconman.2015.06.002 URL
[67]	WANG Y L, WANG Y D, HUANG Y J, 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. doi: 10.1016/j.apenergy.2019.113410 URL
[68]	董帅, 王成福, 徐士杰, 等. 计及网络动态特性的电-气-热综合能源系统日前优化调度[J]. 电力系统自动化, 2018, 42(13): 12-19.
	DONG Shuai, WANG Chengfu, XU Shijie, et al. Day-ahead optimal scheduling of electricity-gas-heat integrated energy system considering dynamic characteristics of networks[J]. Automation of Electric Power Systems, 2018, 42(13): 12-19.
[69]	韩佶, 苗世洪, 李超, 等. 计及相关性的电-气-热综合能源系统概率最优能量流[J]. 电工技术学报, 2019, 34(5): 1055-1067.
	HAN Ji, MIAO Shihong, LI Chao, et al. Probabilistic optimal energy flow of electricity-gas-heat integrated energy system considering correlation[J]. Transactions of China Electrotechnical Society, 2019, 34(5): 1055-1067.
[70]	李哲, 王成福, 梁军, 等. 计及风电不确定性的电-气-热综合能源系统扩展规划方法[J]. 电网技术, 2018, 42(11): 3477-3487.
	LI Zhe, WANG Chengfu, LIANG Jun, et al. Expansion planning method of integrated energy system considering uncertainty of wind power[J]. Power System Technology, 2018, 42(11): 3477-3487.
[71]	王强, 夏成军, 唐智文. 分布式能源在数据中心应用的可行性探析[J]. 电网与清洁能源, 2013, 29(9): 87-91.
	WANG Qiang, XIA Chengjun, TANG Zhiwen. Discussion on the feasibility for distributed energy in internet data center[J]. Power System and Clean Energy, 2013, 29(9): 87-91.
[72]	XU D H, QU M. Energy, environmental, and economic evaluation of a CCHP system for a data center based on operational data[J]. Energy and Buildings, 2013, 67: 176-186. doi: 10.1016/j.enbuild.2013.08.021 URL
[73]	刘巍, 袁韩生. 数据中心天然气分布式能源冷电联供技术方案与经济性分析[J]. 南方能源建设, 2019, 6(2): 112-117.
	LIU Wei, YUAN Hansheng. Technical solution and economic analysis for natural gas distributed energy unit combined cooling and power supply of data center[J]. Southern Energy Construction, 2019, 6(2): 112-117.
[74]	沙战. 水蓄冷空调在某数据中心项目上的应用研究[J]. 建筑热能通风空调, 2019, 38(2): 57-59, 69.
	SHA Zhan. Application of water storage air conditioning in IDC project[J]. Building Energy & Environment, 2019, 38(2): 57-59, 69.
[75]	GUIZZI G L, MANNO M. Fuel cell-based cogeneration system covering data centers' energy needs[J]. Energy, 2012, 41(1): 56-64. doi: 10.1016/j.energy.2011.07.030 URL
[76]	SWAN L G, UGURSAL V I. Modeling of end-use energy consumption in the residential sector: a review of modeling techniques[J]. Renewable and Sustainable Energy Reviews, 2009, 13(8): 1819-1835. doi: 10.1016/j.rser.2008.09.033 URL
[77]	史佳琪, 谭涛, 郭经, 等. 基于深度结构多任务学习的园区型综合能源系统多元负荷预测[J]. 电网技术, 2018, 42(3): 698-707.
	SHI Jiaqi, TAN Tao, GUO Jing, et al. Multi-task learning based on deep architecture for various types of load forecasting in regional energy system integration[J]. Power System Technology, 2018, 42(3): 698-707.

数据中心综合能源系统优化运行研究综述

Review on the Optimal Operation of Integrated Energy System in Data Center

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 6

参考文献 77

相关文章 15

编辑推荐

Metrics

本文评价

[1]	刘至纯, 李华强, 王俊翔, 陆杨, 游祥, 何永祥. 基于多时间尺度综合需求响应策略的综合能源系统优化运行[J]. 电力建设, 2022, 43(9): 54-65.
[2]	杨志豪, 刘沆, 文明, 赵海彭, 廖菁, 苗世洪. 考虑综合需求响应混合不确定性的综合能源系统优化调度策略[J]. 电力建设, 2022, 43(9): 66-76.
[3]	李鹏, 余晓鹏, 张艺涵, 周青青, 田春筝, 乔慧婷. 计及碳捕集和电转气的农村虚拟电厂多目标随机调度优化模型[J]. 电力建设, 2022, 43(7): 24-36.
[4]	兰洲, 蒋晨威, 谷纪亭, 文福拴, 杨侃, 王坤. 促进可再生能源发电消纳和碳减排的数据中心优化调度与需求响应策略[J]. 电力建设, 2022, 43(4): 1-9.
[5]	魏震波, 马新如, 郭毅, 魏平桉, 卢炳文, 张海涛. 碳交易机制下考虑需求响应的综合能源系统优化运行[J]. 电力建设, 2022, 43(1): 1-9.
[6]	陈伟, 路源, 何欣, 张海龙, 杨勇, 崔建斌. 计及风光就地消纳的设施农业产业园区综合能源系统多目标优化调度方法[J]. 电力建设, 2021, 42(7): 20-27.
[7]	崔艳妍, 刘伟, 苏剑, 刘冀邱, 潘永超, 李嘉, 张先亮, 张璐. 考虑最优负荷削减与热负荷惯性的综合能源系统可靠性评估[J]. 电力建设, 2021, 42(4): 40-48.
[8]	高阳, 席皛, 刘小慧, 王小君. 考虑生物质供给价格弹性的工业园区综合能源系统规划[J]. 电力建设, 2021, 42(4): 49-58.
[9]	付张杰, 王育飞, 薛花, 张宇, 时珊珊, 方陈. 基于NSGA-Ⅲ与模糊聚类的光储式充电站储能系统优化运行方法[J]. 电力建设, 2021, 42(3): 27-34.
[10]	杨效婷, 舒隽. 考虑CCHP的工业大用户综合能源系统扩展规划[J]. 电力建设, 2021, 42(2): 107-115.
[11]	刘海涛, 朱海南, 李丰硕, 孙华忠, 王娟娟, 姜心怡, 陈健. 计及碳成本的电-气-热-氢综合能源系统经济运行策略[J]. 电力建设, 2021, 42(12): 21-29.
[12]	林威, 靳小龙, 叶荣. 面向区域综合能源系统的分布式优化调度方法[J]. 电力建设, 2021, 42(11): 44-53.
[13]	马会萌, 李相俊, 贾学翠. 多站融合场景下的系统配置及协调运行策略[J]. 电力建设, 2021, 42(1): 96-104.
[14]	张经纬，黄宁馨，陈柏柯，荆朝霞 . 电力市场环境下抽水蓄能参与电能量市场的优化运行策略[J]. 电力建设, 2020, 41(4): 45-52.
[15]	付建民，杨斌，王小君，孙庆凯，张义志，和敬涵，张放. 考虑建筑储能特性的高铁站综合能源系统规划方法[J]. 电力建设, 2020, 41(3): 13-22.