Primary frequency regulation capacity optimization and wind power coordinated allocation of energy storage-based wind farms

被引：0
|
作者：
Ji X. [1 ,2 ]
Liu D. [3 ]
Jiang K. [3 ]
Kang Y. [3 ]
Chen S. [2 ]
Dong T. [2 ]
机构：
[1] State Grid Hubei Electric Power Co.，Ltd., Wuhan
[2] State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan
[3] State Grid Hubei Electric Power Research Institute, Wuhan
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2023年 / 43卷 / 07期
关键词：
chance-constrained programming; consensus algorithm; energy storage; multi-time scale; power reserve; primary frequency regulation; wind farms;
D O I：
10.16081/j.epae.202210015
中图分类号：
学科分类号：
摘要：
Considering the costs of wind farms and energy storages，a hierarchical architecture based capacity optimization method of wind power and energy storage collaborative participation in primary frequency regulation and the corresponding coordinated allocation method of wind power reserve are proposed. In the system planning layer，based on the multi-time scale model，the operation characteristics of wind farm and the reserve demand of primary frequency regulation are analyzed，the energy storage capacity is planned and configured by chance constraints，and the optimal de-loading ratio of wind power reserve and the optimal output of energy storage for frequency regulation are determined by optimizing the frequency regulation cost in a single forecast period. In the wind farm control layer，the de-loading requirements of wind farm are proportionally distributed to wind turbines with different wind speeds through distributed control，and the coordinated power distribution is realized without centralized controller. The simulative results of case study show that the proposed method can not only improve the frequency regulation economy of energy storage-based wind farms，but also make the wind turbines under full wind speed condition participate in the coordinated allocation of reserve power. © 2023 Electric Power Automation Equipment Press. All rights reserved.
引用
收藏
页码：58 / 65
页数：7
相关论文
共 19 条
  • [11] MIAO Fufeng, TANG Xisheng, QI Zhiping, Capacity optimization of energy storage participating to wind plant primary frequency regulation［J］, Advanced Technology of Electrical Engineering and Energy, 35, 4, pp. 23-29, (2016)
  • [12] JIANG L, Et al., Frequency control of DFIG-based wind power penetrated power systems using switching angle controller and AGC［J］, IEEE Transactions on Power Systems, 32, 2, pp. 1553-1567, (2017)
  • [13] ZENG Xueyang, ZHANG Chun, WANG Shunliang, Et al., Primary frequency control of wind turbine based on deloading coefficient variation［J］, Electric Power Automation Equipment, 42, 8, pp. 119-125, (2022)
  • [14] SENROY N., Primary frequency regulation by deloaded wind turbines using variable droop［J］, IEEE Transactions on Power Systems, 28, 2, pp. 837-846, (2013)
  • [15] PENG Bo, ZHANG Feng, LIANG Jun, Coordinated control strategy for short-term frequency response of wind-energy storage system considering wind speed partition［J］, Automation of Electric Power Systems, 42, 8, pp. 57-65, (2018)
  • [16] CHANG-CHIEN L R, HUNG C M, YIN Y C., Dynamic reserve allocation for system contingency by DFIG wind farms［J］, IEEE Transactions on Power Systems, 23, 2, pp. 729-736, (2008)
  • [17] KANG C Q，, Et al., Optimal bidding strategy of battery storage in power markets considering performance-based regulation and battery cycle life［J］, IEEE Transactions on Smart Grid, 7, 5, pp. 2359-2367, (2016)
  • [18] WU Weiping, HU Zechun, SONG Yonghua, Optimal sizing of energy storage system for wind farms combining stochastic programming and sequential Monte Carlo simulation［J］, Power System Technology, 42, 4, pp. 1055-1062, (2018)
  • [19] LI Junhui, HOU Tao, YAN Gangui, Et al., Two-layer optimization of frequency modulation power in multi-battery energy storage system considering frequency modulation cost and recovery of state of charge［J］, Proceedings of the CSEE, 41, 23, pp. 8020-8033, (2021)
12