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Dynamic equivalent modeling of wind farm based on multi-step parameter identification
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Ze Gao1, Mingyang Liu1, Xingwei Chen1, Chunsun Tian1, Peng Wang2
Renewable Energy Resources | 2025, 43(2) : 233 - 242
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Renewable Energy Resources | 2025, 43(2): 233-242
Dynamic equivalent modeling of wind farm based on multi-step parameter identification
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Ze Gao1, Mingyang Liu1, Xingwei Chen1, Chunsun Tian1, Peng Wang2
Affiliations
  • 1 State Grid Henan Electric Power Research Institute Zhengzhou 450052 China
  • 2 School of Mechanical and Electrical Engineering UESTC Chengdu 611731 China
Published: 2025-02-20
Outline
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In the security and stability analysis of largescale power grid, the wind farm models are usually simplified with the dynamic equivalent modeling method. For a largescale wind farm, due to the large number of wind turbines and the divergences in their characteristics, the wind farm is generally aggregated into multiple equivalent wind turbines. When estimating the parameters of the equivalent wind turbines, in order to avoid identification of a large number of parameters at the same time, the existing method only selects the key parameters with large sensitivity for identification, and the remaining nonkey parameters are not identified by giving the theoretical values. Therefore, the accuracy and robustness of the equivalent model are greatly affected by the accuracy of the assignment of nonkey parameters. In order to solve this problem, the paper proposes a dynamic equivalent modeling method for wind farms based on multistep parameter identification. Firstly, the clustering method is used to group the wind turbines, and the wind turbines within each subgroup are aggregated into one equivalent wind turbine to establish a simplified wind farm model. Secondly, based on the hybrid dynamic simulation technology, the external system of each equivalent wind turbine is replaced with a variable impedance to realize the independent identification of each equivalent wind turbine. Finally, the equivalent parameters of wind turbine are classified based on the trajectory sensitivity, and the classified parameters are identified with a multistep identification method. The effectiveness of the proposed method is verified in a modified IEEE 39 bus system.

wind farm  /  multi-step parameter identification  /  dynamic equivalent modeling  /  sensitivity
Ze Gao, Mingyang Liu, Xingwei Chen, Chunsun Tian, Peng Wang. Dynamic equivalent modeling of wind farm based on multi-step parameter identification[J]. Renewable Energy Resources, 2025 , 43 (2) : 233 -242 .
Year 2025 volume 43 Issue 2
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Article Info
  • Receive Date:2023-07-17
  • Online Date:2025-07-18
  • Published:2025-02-20
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  • Received:2023-07-17
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    1 State Grid Henan Electric Power Research Institute Zhengzhou 450052 China
    2 School of Mechanical and Electrical Engineering UESTC Chengdu 611731 China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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