Integrated Intelligent Energy ›› 2022, Vol. 44 ›› Issue (11): 70-78.doi: 10.3969/j.issn.2097-0706.2022.11.010
• Optimized Operation and Control of Integrating Energy Systems • Previous Articles Next Articles
ZHAO Jianli1,2(), XIANG Jiani1,2(), WANG Weidong3(), CHEN Ke3(), CHEN Jinjuzheng4(), WU Yingjun4()
Received:
2022-06-07
Revised:
2022-09-20
Online:
2022-11-25
Published:
2022-12-21
CLC Number:
ZHAO Jianli, XIANG Jiani, WANG Weidong, CHEN Ke, CHEN Jinjuzheng, WU Yingjun. A scheduling method for suppressing wind power fluctuation of data centers considering wind power uncertainty[J]. Integrated Intelligent Energy, 2022, 44(11): 70-78.
Add to citation manager EndNote|Ris|BibTeX
URL: https://www.hdpower.net/EN/10.3969/j.issn.2097-0706.2022.11.010
[1] | 国家能源局. 国家能源局发布2021年全国电力工业统计数据[EB/OL].(2022-01-26)[2022-09-10]. http://www.nea.gov.cn/2022-01/26/c_1310441589.htm. |
[2] | 田春筝, 李琼林, 宋晓凯. 风电场建模及其对接入电网稳定性的影响分析[J]. 电力系统保护与控制, 2009, 37(19):46-50. |
TIAN Chunzheng, LI Qionglin, SONG Xiaokai. Modeling and analysis of the stability for the power system considering the integration of the wind farms[J]. Power System Protection and Control, 2009, 37(19):46-50. | |
[3] | 吴昊, 张焰, 刘波. 考虑风电场影响的发输电系统可靠性评估[J]. 电力系统保护与控制, 2011, 39(4):36-41. |
WU Hao, ZHANG Yan, LIU Bo. Reliability assessment of generation and transmission systems considering wind farm effects[J]. Power System Protection and Control, 2011, 39(4):36-41. | |
[4] |
LUO C, OOI B T. Frequency deviation of thermal power plants due to wind farms[J]. IEEE Transactions on Energy Conversion, 2006, 21(3):708-716.
doi: 10.1109/TEC.2006.874210 |
[5] |
PRATAP A, URASAKI N, SENJU T. A Coordinated control method to smooth wind power fluctuations of a PMSG-based WECS[J]. IEEE Transactions on Energy Conversion, 2011, 26(6):550-558.
doi: 10.1109/TEC.2011.2107912 |
[6] |
LIN J, SUN Y, SONG Y, et al. Wind power fluctuation smoothing controller based on risk assessment of grid frequency deviation in an isolated system[J]. IEEE Transactions on Sustainable Energy, 2013, 4(2):379-392.
doi: 10.1109/TSTE.2012.2225853 |
[7] | 于芃, 赵瑜, 周玮, 等. 基于混合储能系统的平抑风电波动功率方法的研究[J]. 电力系统保护与控制, 2011, 39(24):35-40. |
YU Fan, ZHAO Yu, ZHOU Wei, et al. Research on the method based on hybrid energy storage system for balancing fluctuant wind power[J]. Power System Protection and Control, 2011, 39(24):35-40. | |
[8] | 孙攀, 赖晓璐, 袁野, 等. 基于电池储能系统的微电网功率平滑控制研究[J]. 华电技术, 2016, 38(10):1-4,77. |
SUN Pan, LAI Xiaolu, YUAN Ye, et al. Research on power smooth control of microgrid based on battery energy storage system[J]. Huadian Technology, 2016, 38(10):1-4,77. | |
[9] | 徐衍会, 徐宜佳. 平抑风电波动的混合储能容量配置及控制策略[J]. 中国电力, 2022, 55(6):186-193. |
XU Yanhui, XU Yijia. Capacity configuration and control strategy of hybrid energy storage to smooth wind power fluctuations[J]. Electric Power, 2022, 55(6):186-193. | |
[10] |
LI J, BAO Z, LI Z. Modeling demand response capability by internet data centers processing batch computing jobs[J]. IEEE Transactions on Smart Grid, 2014, 6(2):737-747.
doi: 10.1109/TSG.2014.2363583 |
[11] |
LI Y, WEN Y, GUAN K, et al. Transforming cooling optimization for green data center via deep reinforcement learning[J]. IEEE Transactions on Cybernetics, 2020, 50(5):2002-2013.
doi: 10.1109/TCYB.2019.2927410 pmid: 31352360 |
[12] |
CUPELLI L, THOMAS S, JAHANGIRI P, et al. Data center control strategy for participation in demand response programs[J]. IEEE Transactions on Industrial Informatics, 2018, 14(11):5087-5099.
doi: 10.1109/TII.2018.2806889 |
[13] |
GHAMKHARI M, MOHSENIAN-RAD H. Energy and performance management of green data centers:A profit maximization approach[J]. IEEE Transactions on Smart Grid, 2013, 4(2):1017-1025.
doi: 10.1109/TSG.2013.2237929 |
[14] |
LI C, QOUNEH A, LI T. iSwitch:Coordinating and optimizing renewable energy powered server clusters[J]. ACM SIGARCH Computer Architecture News, 2012, 40(3):512-523.
doi: 10.1145/2366231.2337218 |
[15] | 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. | |
[16] | 付立, 刘晓光. 基于激光雷达测风仪的风电场风电机组性能评估研究[J]. 华电技术, 2017, 39(6):14-16,40,77. |
FU Li, LIU Xiaoguang. Performance evaluation of wind turbine in wind farm based on lidar wind gauge[J]. Huadian Technology, 2017, 39(6):14-16,40,77. | |
[17] | 刘万福, 赵树野, 康赫然, 等. 考虑源荷双重不确定性的多能互补系统两阶段鲁棒优化调度[J]. 电力系统及其自动化学报, 2020, 32(12):69-76. |
LIU Wanfu, ZHAO Shuye, KANG Heran, et al. Two-stage robust optimal scheduling for multi-energy complementary system considering source-load double uncertainties[J]. Proceedings of the CSU-EPSA, 2020, 32(12):69-76. | |
[18] |
石立宝, 翟放. 考虑风-光-荷不确定性的数据驱动型机组组合模型[J]. 综合智慧能源, 2022, 44(1):18-25.
doi: 10.3969/j.issn.2097-0706.2022.01.003 |
SHI Libao, ZHAI Fang. Data-driven unit commitment model incorporating the uncertainty of wind-PV-load[J]. Integrated Intelligent Energy, 2022, 44(1):18-25.
doi: 10.3969/j.issn.2097-0706.2022.01.003 |
|
[19] | 李运龙, 李志刚, 郑杰辉. 考虑风电不确定性和相关性的多区域电网分布鲁棒经济调度[J]. 电力自动化设备, 2021, 41(8):97-104. |
LI Yunlong, LI Zhigang, ZHENG Jiehui. Distributionally robust economic dispatch of multi-regional power grid considering uncertainty and correlation of wind power[J]. Electric Power Automation Equipment, 2021, 41(8):97-104. | |
[20] | 李彬, 杜亚彬, 曹望璋, 等. 考虑风光储互补与工作负载分配的数据中心优化调度[J]. 现代电力, 2022, 39(3):356-363. |
LI Bin, DU Yabin, CAO Wangzhang, et al. Optimal scheduling of data center considering wind-solar-storage complementary and workload distribution[J]. Modern Electric Power, 2022, 39(3):356-363. | |
[21] | 李颖, 杨荣华, 陈纪海. 虚拟化技术在电力数据中心建设中的研究与实践[J]. 电力信息与通信技术, 2013, 11(11):96-99. |
LI Ying, YANG Ronghua, CHEN Jihai. Research on the virtualization technology and its application in electrical data center[J]. Electric Power Information and Communication Technology, 2013, 11(11):96-99. | |
[22] | BOHRER P, ELNOZAHY E N, KELLER T, et al. The case for power management in web servers[M]. Boston: Power Aware Computing, 2002:261-289. |
[23] | AHMAD F, VIJAYKUMAR T N. Joint optimization of idle and cooling power in data centers while maintaining response time[C]// Fifteenth Edition of ASPLOS on Architectural Support for Programming Languages and Operating Systems.ACM, 2010:243-256. |
[24] | AKSANLI B, ROSING T S, MONGA I. Benefits of green energy and proportionality in high speed wide area networks connecting data centers[C]// Design,Automation & Test in Europe Conference & Exhibition.IEEE, 2012:175-180. |
[25] |
WANG H, HUANG J, LIN X, et al. Proactive demand response for data centers:A win-win solution[J]. IEEE Transactions on Smart Grid, 2017, 7(3):1584-1596.
doi: 10.1109/TSG.2015.2501808 |
[26] | 朱光远, 林济铿, 罗治强, 等. 鲁棒优化在电力系统发电计划中的应用综述[J]. 中国电机工程学报, 2017, 37(20):5881-5892. |
ZHU Guangyuan, LIN Jikeng, LUO Zhiqiang, et al. Review of robust optimization for generation scheduling in power systems[J]. Proceedings of the CSEE, 2017, 37(20):5881-5892. | |
[27] | 符杨, 张智泉, 李振坤. 基于二阶段鲁棒优化模型的混合交直流配电网无功电压控制策略研究[J]. 中国电机工程学报, 2019, 39(16):4764-4774. |
FU Yang, ZHANG Zhiquan, LI Zhenkun. Research on reactive power voltage control strategy for hybrid AC/DC distribution network based on two-stage robust optimization model[J]. Proceedings of the CSEE, 2019, 39(16):4764-4774. | |
[28] | 徐秋实, 邓长虹, 赵维兴, 等. 含风电电力系统的多场景鲁棒调度方法[J]. 电网技术, 2014, 38(3):653-661. |
XU Qiushi, DENG Changhong, ZHAO Weixing, et al. A multi-scenario robust dispatch method for power grid integrated with wind farms[J]. Power System Technology, 2014, 38(3):653-661. | |
[29] | 荆立坤, 唐宜强, 潘凤萍, 等. 基于鲁棒约束的PI控制器参数多目标优化及应用[J]. 华电技术, 2021, 43(5): 1-8. |
JING Likun, TANG Yiqiang, PAN Fengping, et al. Multi-objective optimization of PI controller parameters under robustness constraint and its application[J]. Huadian Technology, 2021, 43(5): 1-8. |
[1] | HAN Shiwang, ZHAO Ying, ZHANG Xingyu, XUAN Chengbo, ZHAO Tiantian, HOU Xukai, LIU Qianqian. Researches on hydrogen storage peak-shaving technology for new power systems to achieve carbon neutrality [J]. Integrated Intelligent Energy, 2022, 44(9): 20-26. |
[2] | JIANG Ting, ZHAO Yajiao. Carbon emission reduction analysis for gas-based distributed integrated energy systems [J]. Integrated Intelligent Energy, 2022, 44(9): 27-32. |
[3] | ZHANG Xu, ZHANG Haohao, GU Jihao. Study on difference analysis and sampling inference methods of room temperature spatial characteristics [J]. Integrated Intelligent Energy, 2022, 44(9): 51-58. |
[4] | JIANG Shu, LIU Fangfang, LIU Yuanyuan, CHEN Qizhao, LIAN Li, REN Mengnan. Comprehensive cascade application of "geothermal energy +" in engineering practice [J]. Integrated Intelligent Energy, 2022, 44(9): 59-64. |
[5] | YU Guo, WU Jun, XIA Re, CHEN Yihui, GUO Zihui, HUANG Wenxin. Study on the status quo and development trend of grid-forming converter technology [J]. Integrated Intelligent Energy, 2022, 44(9): 65-70. |
[6] | TANG Qiwen, SHEN Qi, ZHU Jun, SU Yijing. Mechanism design and operation practice of Zhejiang frequency regulation ancillary service market [J]. Integrated Intelligent Energy, 2022, 44(9): 71-77. |
[7] | YANG Ying, ZHANG Yanxiang, YAN Mufu. Research progress on preparation methods of medium and low temperature SOFC electrolytes [J]. Integrated Intelligent Energy, 2022, 44(8): 50-57. |
[8] | CHEN Hanyu, ZHOU Xiaoliang, LIU Limin, QIAN Xinyuan, WANG Zhou, HE Feifan, SHENG Yang. Research progress of hydrogen production from water electrolysis in proton-conducting solid electrolytic cells [J]. Integrated Intelligent Energy, 2022, 44(8): 75-85. |
[9] | LI Hua, ZHENG Hongwei, ZHOU Bowen, LI Guangdi, YANG Bo. Two-part tariff for pumped storage power plants in an integrated intelligent energy system [J]. Integrated Intelligent Energy, 2022, 44(7): 10-18. |
[10] | WANG Sheng, TAN Jian, SHI Wenbo, ZOU Fenghua, CHEN Guang, WANG Linyu, HUI Hongxun, GUO Lei. Practices of the new power system in the UK and inspiration for the development of provincial power systems in China [J]. Integrated Intelligent Energy, 2022, 44(7): 19-32. |
[11] | YE Zhaonian, ZHAO Changlu, WANG Yongzhen, HAN Kai, LIU Chaofan, HAN Juntao. Dual-objective optimization of energy networks with shared energy storage based on Nash bargaining [J]. Integrated Intelligent Energy, 2022, 44(7): 40-48. |
[12] | ZHANG Rongquan, LI Gangqiang, BU Siqi, LIU Fang, ZHU Yuxiang. Economic operation of a multi-energy system based on adaptive learning rate firefly algorithm [J]. Integrated Intelligent Energy, 2022, 44(7): 49-57. |
[13] | GUO Zuogang, YUAN Zhiyong, XU Min, LEI Jinyong, LI Pengyue, TAN Yingjie. Multi-energy flow calculation method for multi-energy complementary integrated energy systems [J]. Integrated Intelligent Energy, 2022, 44(7): 58-65. |
[14] | LU Yao, GU Xiaoxi, YIN Shuo, CHEN Xing, JIN Man. Research on county-level self-balance transaction scheduling strategy for new energy considering section load rate [J]. Integrated Intelligent Energy, 2022, 44(7): 66-72. |
[15] | XIE Dian, GAO Yajing, LU Xinbo, LIU Tianyang, ZHAO Liang, ZHAO Yong. Research on the implementation path of the transition from dual control on energy consumption to dual control on carbon emission [J]. Integrated Intelligent Energy, 2022, 44(7): 73-80. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||