Design and simulation of a GA optimized variable speed DFIG based wind turbine using MATLAB

Satyabrata Sahoo, E. Rajsekhar, P. S. Puhan
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Abstract

Nowaday, the power control technique for a large wind turbine is mainly controlled through pitch angle control. The necessity for control of pitch angle is because of stochastic nature of the speed of wind. In this paper, different strategies for pitch angle controllers are compared for a wind turbine with doubly fed induction generator to achieve the steady output power for above rated wind speed. The control strategy utilized here are the conventional Proportional Integral (PI) and Genetic algorithm (GA) optimized PI controllers, which are developed through MATLAB. Finally, the performances of the control strategies are compared. From the results it is found that the GA optimized PI controller depicts an improved performance in comparison to PI controller.
基于MATLAB的遗传算法优化的变速DFIG风电机组设计与仿真
目前,大型风力发电机组的功率控制技术主要是通过控制俯仰角来实现的。由于风速的随机性,需要对俯仰角进行控制。本文比较了双馈感应发电机风力发电机组在额定风速以上的稳定输出功率时的不同俯仰角控制策略。本文采用的控制策略是传统的比例积分(PI)和遗传算法(GA)优化的PI控制器,并通过MATLAB开发。最后,对各控制策略的性能进行了比较。结果表明,与PI控制器相比,遗传算法优化后的PI控制器具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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