Application of Multi-Objective Control in Power and Load Optimization of Wind Turbines
During operation, wind turbine systems are affected by external wind speed disturbances and the dynamic coupling of the system, which can lead to significant resonance phenomena within certain frequency ranges. Resonance causes a dramatic increase in the system’s dynamic response at speci...
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| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10876124/ |
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| author | Jiawang Yuan Shan He Jing Cheng Weiqing Wang |
| author_facet | Jiawang Yuan Shan He Jing Cheng Weiqing Wang |
| author_sort | Jiawang Yuan |
| collection | DOAJ |
| description | During operation, wind turbine systems are affected by external wind speed disturbances and the dynamic coupling of the system, which can lead to significant resonance phenomena within certain frequency ranges. Resonance causes a dramatic increase in the system’s dynamic response at specific frequencies, resulting in unstable power output and exacerbating the accumulation of fatigue loads, posing a threat to the safety and operational reliability of the wind turbine. To address this issue, this study proposes a multi-objective H<inline-formula> <tex-math notation="LaTeX">$_{\mathrm {\infty }}$ </tex-math></inline-formula>/generalized H2 additional damping control method, which improves control precision by minimizing the integral of time-weighted absolute error of state variables, effectively suppressing the resonance peaks at critical frequencies and reducing the resulting power and load fluctuations. Experimental results show that, compared to reference open-source controller tuning, the proposed strategy reduces the standard deviations of output power, tower-top fore-aft displacement, and tower base roll moment by 19.97%, 18.90%, and 30.13%, respectively. This approach significantly enhances the power stability of the wind turbine system and effectively reduces load fluctuations, providing an efficient solution for improving the operational reliability and lifespan of wind turbines. |
| format | Article |
| id | doaj-art-6c31bb4813614578930b2113d8fd0e85 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-6c31bb4813614578930b2113d8fd0e852025-08-20T02:15:25ZengIEEEIEEE Access2169-35362025-01-0113257832579310.1109/ACCESS.2025.353957510876124Application of Multi-Objective Control in Power and Load Optimization of Wind TurbinesJiawang Yuan0Shan He1https://orcid.org/0000-0003-4032-1856Jing Cheng2Weiqing Wang3https://orcid.org/0000-0002-6646-6773School of Electrical Engineering, Xinjiang University, Ürümqi, ChinaSchool of Electrical Engineering, Xinjiang University, Ürümqi, ChinaSchool of Electrical Engineering, Xinjiang University, Ürümqi, ChinaSchool of Electrical Engineering, Xinjiang University, Ürümqi, ChinaDuring operation, wind turbine systems are affected by external wind speed disturbances and the dynamic coupling of the system, which can lead to significant resonance phenomena within certain frequency ranges. Resonance causes a dramatic increase in the system’s dynamic response at specific frequencies, resulting in unstable power output and exacerbating the accumulation of fatigue loads, posing a threat to the safety and operational reliability of the wind turbine. To address this issue, this study proposes a multi-objective H<inline-formula> <tex-math notation="LaTeX">$_{\mathrm {\infty }}$ </tex-math></inline-formula>/generalized H2 additional damping control method, which improves control precision by minimizing the integral of time-weighted absolute error of state variables, effectively suppressing the resonance peaks at critical frequencies and reducing the resulting power and load fluctuations. Experimental results show that, compared to reference open-source controller tuning, the proposed strategy reduces the standard deviations of output power, tower-top fore-aft displacement, and tower base roll moment by 19.97%, 18.90%, and 30.13%, respectively. This approach significantly enhances the power stability of the wind turbine system and effectively reduces load fluctuations, providing an efficient solution for improving the operational reliability and lifespan of wind turbines.https://ieeexplore.ieee.org/document/10876124/Wind turbineresonance phenomenafatigue loadsadditional damping controlpower stability |
| spellingShingle | Jiawang Yuan Shan He Jing Cheng Weiqing Wang Application of Multi-Objective Control in Power and Load Optimization of Wind Turbines IEEE Access Wind turbine resonance phenomena fatigue loads additional damping control power stability |
| title | Application of Multi-Objective Control in Power and Load Optimization of Wind Turbines |
| title_full | Application of Multi-Objective Control in Power and Load Optimization of Wind Turbines |
| title_fullStr | Application of Multi-Objective Control in Power and Load Optimization of Wind Turbines |
| title_full_unstemmed | Application of Multi-Objective Control in Power and Load Optimization of Wind Turbines |
| title_short | Application of Multi-Objective Control in Power and Load Optimization of Wind Turbines |
| title_sort | application of multi objective control in power and load optimization of wind turbines |
| topic | Wind turbine resonance phenomena fatigue loads additional damping control power stability |
| url | https://ieeexplore.ieee.org/document/10876124/ |
| work_keys_str_mv | AT jiawangyuan applicationofmultiobjectivecontrolinpowerandloadoptimizationofwindturbines AT shanhe applicationofmultiobjectivecontrolinpowerandloadoptimizationofwindturbines AT jingcheng applicationofmultiobjectivecontrolinpowerandloadoptimizationofwindturbines AT weiqingwang applicationofmultiobjectivecontrolinpowerandloadoptimizationofwindturbines |