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Coordinated design of fuzzy-based speed controller and auxiliary controllers in a variable speed wind turbine to enhance frequency control

机译:变速风力发电机中基于模糊的速度控制器和辅助控制器的协调设计,以增强频率控制

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摘要

This paper proposes novel controllers for doubly fed induction generator (DFIG)-based wind turbines. These controllers not only optimize the transient behaviour of DFIGs, but also realize their participation in the power system frequency control task. The proposed controllers include one main speed controller as well as two auxiliary controllers. The main speed controller is a fuzzy-based controller which their parameters are optimized using the genetic algorithm (GA) to achieve the optimal transient response. It applies the rotational speed signal and causes the DFIG to return to the maximum power point (MPP) quickly after any turbulent in the wind speed. Moreover, two smart auxiliary controllers, i.e., frequency deviation and wind speed oscillations controllers are suggested. The frequency deviation controller enables the DFIG frequency support and the wind speed oscillations controller alleviates the impacts of wind speed fluctuations on the wind turbine output power both with utilizing the wind turbine kinetic energy. To investigate the efficiency of main controller, two case studies are considered. Moreover, some time domain simulations are performed on IEEE 39-bus system to evaluate the influences of the auxiliary controllers on the load frequency control task. Results confirm the effectiveness and superiority of the proposed controllers.
机译:本文提出了基于双馈感应发电机(DFIG)的风力涡轮机的新型控制器。这些控制器不仅优化了DFIG的瞬态行为,而且实现了它们参与电力系统频率控制任务的能力。建议的控制器包括一个主速度控制器和两个辅助控制器。主速度控制器是基于模糊的控制器,其参数使用遗传算法(GA)进行优化以实现最佳的瞬态响应。它施加转速信号,使DFIG在风速出现任何紊乱后迅速返回最大功率点(MPP)。此外,提出了两个智能辅助控制器,即频率偏差和风速振荡控制器。频率偏差控制器启用DFIG频率支持,并且风速振荡控制器通过利用风轮机动能来减轻风速波动对风轮机输出功率的影响。为了研究主控制器的效率,考虑了两个案例研究。此外,在IEEE 39总线系统上进行了一些时域仿真,以评估辅助控制器对负载频率控制任务的影响。结果证实了所提出控制器的有效性和优越性。

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