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Research on primary frequency modulation control strategy of wind turbines based on fuzzy control and wind speed zoning
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Chunzheng Tian1, Junyi Wang2, Xiaoliang Jiang1, Yang Lu2, Gaojun Meng2
Renewable Energy Resources | 2025, 43(1) : 124 - 133
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Renewable Energy Resources | 2025, 43(1): 124-133
Research on primary frequency modulation control strategy of wind turbines based on fuzzy control and wind speed zoning
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Chunzheng Tian1, Junyi Wang2, Xiaoliang Jiang1, Yang Lu2, Gaojun Meng2
Affiliations
  • 1 State Grid Henan Electric Power Company Economic and Technological Research Institute Zhengzhou 450052 China
  • 2 Nanjing Institute of Technology Nanjing 211167 China
Published: 2025-01-20 doi:
Outline
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As wind power generation technology matures and wind power penetration continues to increase, the equivalent inertia and frequency modulation reserve capacity in power systems decrease, leading to an increased frequency modulation burden on the grid. To address the issue of insufficient inertia and frequency response capability of wind turbines due to the decoupling of rotor speed and grid frequency, this paper proposes a comprehensive control strategy for wind turbines based on fuzzy logic control. By embedding a fuzzy logic controller into the wind turbine control system, frequency modulation parameters are dynamically adjusted. On this basis, considering the operational characteristics of wind turbines at different wind speeds, the wind speed is zoned, and a comprehensive control strategy is developed to adapt to the speedpower characteristics of turbines within each zone. This improves the frequency response capability of wind turbines in medium and high wind speed zones.

dynamic frequency modulation  /  wind speed zoning  /  fuzzy control  /  frequency response
Chunzheng Tian, Junyi Wang, Xiaoliang Jiang, Yang Lu, Gaojun Meng. Research on primary frequency modulation control strategy of wind turbines based on fuzzy control and wind speed zoning[J]. Renewable Energy Resources, 2025 , 43 (1) : 124 -133 .
Year 2025 volume 43 Issue 1
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  • Receive Date:2024-05-22
  • Online Date:2025-07-18
  • Published:2025-01-20
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  • Received:2024-05-22
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Affiliations
    1 State Grid Henan Electric Power Company Economic and Technological Research Institute Zhengzhou 450052 China
    2 Nanjing Institute of Technology Nanjing 211167 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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