Abstract
In a wind farm, the upstream wind turbine may cause power loss to the downstream wind turbines due to the wake effect. Meanwhile, the energy production is determined by the power generation and the lifetime of the wind turbine. In this paper, an optimal active power control method is proposed to maximize the energy production of wind farms by considering the wake effect and the lifetime of wind turbine. It starts with the analysis of the pitch angle curve and active power curve seen from the Maximum Power Point Tracking (MPPT) of individual wind turbines. Taking the wake effect into account, the pitch angle curve and active power curve are optimized with the aim of Maximum Power Generation (MPG) of the wind farm. Afterwards, considering the lifetime of wind turbines, a comparison is offered between the MPPT method and the MPG method for energy production using a simplified two-turbine wind farm as an example. Due to the small range of the effective wake area, it is found that the energy production is almost the same. Finally, the pitch angle curve and active power curve are optimized according to the Maximum Energy Production (MEP) of a wind farm. Upon considering and contrasting the MPPT method and the MEP method, it can be seen that the energy production of wind farms can be increased even in the case of there not being an effective wake area.
Highlights
In recent years, wind power capacity is fast growing and there are increasing trends towards developing large scale offshore wind farms [1]
In the case of a real wind profile, the wind speed distribution can all, it is evident that the lifetime of the power converter is determined by the pitch angle and be considered by using Miner’s rule [36], where the various thermal stresses have the same effect on tip speed ratio
The pitch angle is regulated by the pitch controller, and1,the tip speed ratio is controlled by the power reference are obtained the power pitch angle curve and the active power curve according to the power controller by changing thefrom active reference
Summary
Wind power capacity is fast growing and there are increasing trends towards developing large scale offshore wind farms [1]. With the wake model and the aerodynamic model, the optimal pitch angle and the tip speed ratio for each wind turbine are selected to maximize the total active power of the wind farm [17,20]. With the aim of maximizing the total energy production of the wind farm across its lifespan, the optimized pitch angle curve and active power curve are generated for each wind turbine. With the optimized pitch angle and speed ratio, the described look‐up table the model, and the lifetime estimation of the wind turbine aretip addressed and in of Section pitch angle curve and active power curve implemented in the wind turbine controller are generated.
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