Multi objectives optimization of wind turbines’ power and fatigue loads using perturbation free extremum seeking control

Thaker Nayl , Khalid Tourkey Atta , Martin Guay
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引用次数: 0

Abstract

This manuscript introduces a perturbation-free extremum-seeking control strategy specifically designed to enhance the operational performance of wind turbines under optimal conditions. The strategy employed utilizes a perturbation-free extremum-seeking approach to ensure the wind turbine farm operates at maximum power efficiency while also reducing power output fluctuations. By employing this control system, the wind turbine generators are maintained at their optimal power output level, effectively navigating through disturbances such as tower shadow, wind shear, and the erratic nature of wind speeds without introducing external perturbations.

The algorithm is adept at managing the blade pitch angles and the turbines’ rotational speed, ensuring a controlled and efficient operation. Furthermore, this paper outlines a perturbation-free method to optimize energy production and decrease fatigue loads, thereby extending the operational lifespan of a wind turbine. The superior operational efficiency of the wind turbine array generators achieved through this approach underscores its effectiveness.

The robustness and effectiveness of this perturbation-free control system are validated through comprehensive simulation tests on an array comprising four wind turbine generators. The outcomes of these simulations solidly back the extremum-seeking control system’s proficiency in reaching maximum power output without relying on perturbative methods, highlighting its innovative contribution to wind turbine efficiency optimization.

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利用无扰动寻极控制多目标优化风力涡轮机的功率和疲劳载荷
本手稿介绍了一种无扰动极值搜索控制策略,专门用于提高风力涡轮机在最佳条件下的运行性能。所采用的策略利用无扰动寻极方法,确保风力涡轮机发电场以最大功率效率运行,同时减少功率输出波动。通过采用这种控制系统,风力涡轮发电机可保持在最佳功率输出水平,在不引入外部扰动的情况下,有效克服塔架阴影、风切变和风速不稳等干扰。此外,本文还概述了一种无扰动方法,可优化能源生产并降低疲劳负荷,从而延长风力涡轮机的运行寿命。通过对由四台风力涡轮发电机组成的阵列进行综合模拟测试,验证了这种无扰动控制系统的稳健性和有效性。这些仿真结果有力地证明了寻极控制系统在不依赖扰动方法的情况下实现最大功率输出的能力,突出了其对风力涡轮机效率优化的创新贡献。
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来源期刊
Results in Control and Optimization
Results in Control and Optimization Mathematics-Control and Optimization
CiteScore
3.00
自引率
0.00%
发文量
51
审稿时长
91 days
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