Individual pitch control strategy of wind turbine to reduce load fluctuations and torque ripples

Author(s):  
Haoming Liu ◽  
Yao Wang ◽  
Xiaoling Yuan ◽  
Qiaoqiao Tang
2019 ◽  
Vol 14 (11) ◽  
pp. 1624-1632 ◽  
Author(s):  
Wei Tian ◽  
Wenxia Pan ◽  
Yixiang Shao ◽  
Bofeng Xu ◽  
Haoming Liu ◽  
...  

2013 ◽  
Vol 433-435 ◽  
pp. 1293-1297
Author(s):  
Xing Jia Yao ◽  
Jiang Sheng Zhu ◽  
Kui Chao Ma ◽  
Qing Ding Guo

Dynamic load is a key consideration in large scale wind turbine design. It is approved that the performance of controller can distinguish impact wind turbine loads. For strong external disturbances and inaccurately modeled of large wind turbines, In this paper, we propose model-free adaptive (Model Free Adapt, MFA) individual pitch control algorithms. The controller was developed in to mitigate the rotor unbalance structural load for variable speed wind turbine. The controller is designed from a nonlinear model of the system which takes into account the blades, shaft and tower flexibilities. Bladed software was used for the control strategy and traditional PID control strategy simulation comparison. The results show that the new control strategy can effectively stabilize wind turbine power output and reduce aerodynamic loads.


Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 783 ◽  
Author(s):  
Sebastian Perez-Becker ◽  
David Marten ◽  
Christian Navid Nayeri ◽  
Christian Oliver Paschereit

Accurate and reproducible aeroelastic load calculations are indispensable for designing modern multi-MW wind turbines. They are also essential for assessing the load reduction capabilities of advanced wind turbine control strategies. In this paper, we contribute to this topic by introducing the TUB Controller, an advanced open-source wind turbine controller capable of performing full load calculations. It is compatible with the aeroelastic software QBlade, which features a lifting line free vortex wake aerodynamic model. The paper describes in detail the controller and includes a validation study against an established open-source controller from the literature. Both controllers show comparable performance with our chosen metrics. Furthermore, we analyze the advanced load reduction capabilities of the individual pitch control strategy included in the TUB Controller. Turbulent wind simulations with the DTU 10 MW Reference Wind Turbine featuring the individual pitch control strategy show a decrease in the out-of-plane and torsional blade root bending moment fatigue loads of 14% and 9.4% respectively compared to a baseline controller.


2016 ◽  
Vol 11 (8) ◽  
pp. 1121-1128 ◽  
Author(s):  
Raja Muhammad Imran ◽  
Dil Muhammad Akbar Hussain ◽  
Mohsen Soltani ◽  
Raja Muhammad Rafaq

2021 ◽  
Vol 170 ◽  
pp. 1245-1256
Author(s):  
Daniel Ossmann ◽  
Peter Seiler ◽  
Christopher Milliren ◽  
Alan Danker

2021 ◽  
Vol 13 (6) ◽  
pp. 3235
Author(s):  
J. Enrique Sierra-García ◽  
Matilde Santos

Wind energy plays a key role in the sustainability of the worldwide energy system. It is forecasted to be the main source of energy supply by 2050. However, for this prediction to become reality, there are still technological challenges to be addressed. One of them is the control of the wind turbine in order to improve its energy efficiency. In this work, a new hybrid pitch-control strategy is proposed that combines a lookup table and a neural network. The table and the RBF neural network complement each other. The neural network learns to compensate for the errors in the mapping function implemented by the lookup table, and in turn, the table facilitates the learning of the neural network. This synergy of techniques provides better results than if the techniques were applied individually. Furthermore, it is shown how the neural network is able to control the pitch even if the lookup table is poorly designed. The operation of the proposed control strategy is compared with the neural control without the table, with a PID regulator, and with the combination of the PID and the lookup table. In all cases, the proposed hybrid control strategy achieves better results in terms of output power error.


2011 ◽  
Vol 347-353 ◽  
pp. 2260-2267
Author(s):  
Wei Li ◽  
Hong Li Sun ◽  
Zuo Xia Xing ◽  
Lei Chen

Load fluctuation of wind turbine under tower shadow was researched,introducing individual pitch control. First,establish the linear time-varying model of the rotor,make it into the linear time invariant model through Coleman transformation. Then,based on this model,achieving the design of individual pitch system with PID controller. Comparing the loads of wind turbine under tower shadow between individual pitch control and collective pitch control and analysing the fatigue damage of wind turbine through rainflow cycle counting.The result shows that load fluctuation of wind turbine using the individual pitch control under tower shadow has better effect and reduces the effect of tower shadow,extend the working life of wind turbine.


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