2021
DOI: 10.3390/en14040938
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Optimal Pitch Angle Strategy for Energy Maximization in Offshore Wind Farms Considering Gaussian Wake Model

Abstract: This paper presents a new approach based on the optimization of the blade pitching strategy of offshore wind turbines in order to maximize the global energy output considering the Gaussian wake model and including the effect of added turbulence. A genetic algorithm is proposed as an optimization tool in the process of finding the optimal setting of the wind turbines, which aims to determine the individual pitch of each turbine so that the overall losses due to the wake effect are minimised. The integration of … Show more

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Cited by 7 publications
(3 citation statements)
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References 31 publications
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“…The Savonius turbine is drag-based and has the self-start ability, while the Darrieus turbine is lift-based and has higher efficiency than the Savonius but is not able to self-start [31]. Improving the performance of both types of turbines has remained a crucial challenge for researchers and engineers in recent years [32]. One of the methods to improve the performance (Cp value) and self-starting ability is flow augmentation, where the wind turbine design is optimized in a way that the upstream wind is appropriately blocked while ensuring maximum positive torque and minimum negative torque achieved [31].…”
Section: Prior Literaturementioning
confidence: 99%
“…The Savonius turbine is drag-based and has the self-start ability, while the Darrieus turbine is lift-based and has higher efficiency than the Savonius but is not able to self-start [31]. Improving the performance of both types of turbines has remained a crucial challenge for researchers and engineers in recent years [32]. One of the methods to improve the performance (Cp value) and self-starting ability is flow augmentation, where the wind turbine design is optimized in a way that the upstream wind is appropriately blocked while ensuring maximum positive torque and minimum negative torque achieved [31].…”
Section: Prior Literaturementioning
confidence: 99%
“…The PSO algorithm is used to find the optimal solution and the adaptive adjustment strategy is adopted for the related parameters in the study carried out by Peng et al 17 A mixed integer linear program is developed in the study carried out by Pérez‐Rúa et al, 18 which uses total cable length and total electrical power losses as the objective functions, and the model is embedded in an iterative algorithmic framework to obtain a satisfactory solution. Besides, the Gaussian model is used to evaluate the value of energy output and the genetic algorithm is used to output the optimal solution through successive iterations in the study carried out by Gonzáez et al 19 However, the above studies did not consider the influence of seabed topography on the total energy output. Therefore, Liu et al used genetic algorithms to optimize the wind farm layouts according to different seabed topographies 20 .…”
Section: Introductionmentioning
confidence: 99%
“…In addition, they have used the model to optimize the rotor performance by varying the pitch angle and found that the results of the model are in good agreement in general, and the power obtained can be increased by optimizing the pitch angle, especially at low wind speeds. Serrano González et al (2021) have performed a study to maximize the produced energy of offshore wind turbines by optimizing the pitch angle and concluded that the developed procedure can be used effectively to maximize the energy output. Chavero-Navarrete et al (2021) have studied the pitch angle optimization for small wind turbines, and they stated that the algorithm developed increases the electrical output of a small HAWT by 7%.…”
Section: Introductionmentioning
confidence: 99%