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Research on active resonance ride through control of dual-rotor wind turbine
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Zhilong ZHANG, Zhao FANG, Yajuan LIU, Wenguang ZHANG
Thermal Power Generation | 2023, 52(3) : 130 - 135
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Thermal Power Generation | 2023, 52(3): 130-135
Operation control and optimal scheduling technologies of wind power system
Research on active resonance ride through control of dual-rotor wind turbine
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Zhilong ZHANG, Zhao FANG, Yajuan LIU, Wenguang ZHANG
Affiliations
  • School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Published: 2023-03-25 doi: 10.19666/j.rlfd.202211263
Outline
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Dual-rotor wind turbine with high-soft tower can break the limits of wind energy utilization of conventional single-wheel wind turbines and improve the efficiency of wind energy utilization in low wind speed areas. The natural frequency of the flexible tower is within the operating speed range of the wind turbine, so there is a speed exclusion zone. Based on the normal operation control of wind turbine, a resonance crossing control algorithm is proposed to prevent the resonance between the wind turbine impeller and the tower during operation. The algorithm finds the resonance interval through Campbell diagram, and adds speed control on the basis of optimal torque control to achieve fast resonance crossing. A large number of simulation tests were carried out on a simple wind turbine model developed on Simulink for steady-state wind and in three scenarios with different turbulence intensities. The simulation results show that the algorithm can achieve fast and effective resonance traversal under all the above conditions.

dual-rotor wind turbine  /  flexible tower  /  resonance crossing  /  speed exclusion zone  /  wind power generation
Zhilong ZHANG, Zhao FANG, Yajuan LIU, Wenguang ZHANG. Research on active resonance ride through control of dual-rotor wind turbine[J]. Thermal Power Generation, 2023 , 52 (3) : 130 -135 . DOI: 10.19666/j.rlfd.202211263
  • National Key Research and Development Program(2020YFB1506602)
  • General Program of National Natural Science Foundation of China(62273144)
Year 2023 volume 52 Issue 3
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Article Info
doi: 10.19666/j.rlfd.202211263
  • Receive Date:2022-11-15
  • Online Date:2026-01-23
  • Published:2023-03-25
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  • Received:2022-11-15
Funding
National Key Research and Development Program(2020YFB1506602)
General Program of National Natural Science Foundation of China(62273144)
Affiliations
    School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, 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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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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