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
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.
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页码:58 / 65
页数:7
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