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Quantitative performance assessment of wind turbine control systems based on linear quadratic Gaussian subspace benchmark
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Yu WANG1, Yangfan ZHANG1, Weixin YANG1, Kai LIANG1, Feng GAO2, Chenkai QIAN2
Thermal Power Generation | 2024, 53(3) : 14 - 23
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Thermal Power Generation | 2024, 53(3): 14-23
Special topic on new energy power generation technology
Quantitative performance assessment of wind turbine control systems based on linear quadratic Gaussian subspace benchmark
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Yu WANG1, Yangfan ZHANG1, Weixin YANG1, Kai LIANG1, Feng GAO2, Chenkai QIAN2
Affiliations
  • 1.North China Electric Power Research Institute Co., Ltd., Beijing 100045, China
  • 2.School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Published: 2024-03-25 doi: 10.19666/j.rlfd.202308133
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Aiming at the lack of quantitative standards and assessment methods in the current comprehensive assessment of wind turbine control performance, a quantitative assessment method of control performance based on subspace linear quadratic Gaussian (LQG) is proposed. The subspace matrix method is used to solve the assessment trade-off curve, and the benchmark and assessment index of LQG control performance of wind turbines are established. By taking the turbine retrofitted by adding tower damping and load shedding control as an example of the assessment, the multivariate comprehensive quantitative assessment of pitch control performance before and after retrofitting is carried out by using two kinds of data processing strategies. The results show that, both data processing strategies can obtain accurate and effective quantitative evaluation results, and the proposed evaluation method can realize the comprehensive quantitative evaluation of the optimization effect of control strategies.

wind turbine unit  /  subspace matrix  /  control performance assessment  /  LQG benchmark  /  trade-off curve
Yu WANG, Yangfan ZHANG, Weixin YANG, Kai LIANG, Feng GAO, Chenkai QIAN. Quantitative performance assessment of wind turbine control systems based on linear quadratic Gaussian subspace benchmark[J]. Thermal Power Generation, 2024 , 53 (3) : 14 -23 . DOI: 10.19666/j.rlfd.202308133
  • Projects of North China Electric Power Research Institute(KJZ2022059)
Year 2024 volume 53 Issue 3
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Article Info
doi: 10.19666/j.rlfd.202308133
  • Receive Date:2023-08-18
  • Online Date:2025-12-31
  • Published:2024-03-25
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  • Received:2023-08-18
Funding
Projects of North China Electric Power Research Institute(KJZ2022059)
Affiliations
    1.North China Electric Power Research Institute Co., Ltd., Beijing 100045, China
    2.School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
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https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202308133
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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
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占总种数比例
Percentage of
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种数
Number of
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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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