Abstract
In this paper, an onshore 2 MW wind turbine is selected. Aiming at the shortcomings of the current tower design methods, a genetic algorithm-based wind turbine tower structure design optimization method is proposed, which can effectively reduce costs and improve efficiency. During the normal operation of the wind turbine, due to the change of wind speed, the tower will vibrate, which will cause the ultimate load and fatigue load of the wind turbine tower to be too high. Therefore, this paper sets a reasonable tower vibration control strategy and applies it to the tower control system. The results show that the use of genetic algorithm can optimize the tower structure and effectively reduce the tower quality; the use of the front and back vibration control device of the tower can effectively reduce the load of the tower and other related components, thereby stabilizing the wind turbine.
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Qin, S., Cheng, L., He, Z. (2022). Wind Turbine Tower Design Optimization and Vibration Reduction Control Strategy. In: Tan, J. (eds) Advances in Mechanical Design. ICMD 2021. Mechanisms and Machine Science, vol 111. Springer, Singapore. https://doi.org/10.1007/978-981-16-7381-8_38
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DOI: https://doi.org/10.1007/978-981-16-7381-8_38
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