The wind energy characteristics at the site not only indicate the amount of energy obtained from wind energy, but it also depends on the control strategy implemented on the wind energy conversion system. This study proposes an application of Ant Lion Optimizer (ALO) for tuning the classical (PI) controller parameters for the permanent magnet synchronous generator driven by wind energy system, to such an extent that the most maximum power point tracking can be acknowledged along with an improved fault ride-through capability. The optimized PI-controller parameters based ALO improving the low voltage ride through (LVRT) performance and the maximum power point tracking. ALO is implemented to the classical PI-controller on the machine side converter system, and grid side converter, for maximum power extraction from PMSG and enhancing LVRT. Four cases were considered in this paper, to examine the feasibility of the proposed ALO-PI controller. The suggested cases are system running at normal condition, a step-change in wind speed, wind speed variation at normal grid condition, and three-phase fault. A significant improvement in the system dynamic performance when applying the ALO-PI controller is compared with classical PI-controller.

现场的风能特性不仅表明从风能中获得的能量，而且还取决于在风能转换系统上实施的控制策略。本研究提出了将Ant Lion Optimizer（ALO）应用于风能系统驱动的永磁同步发电机的经典（PI）控制器参数调整的应用，以使最大功率点跟踪和最大功率点跟踪得到认可。改进的故障穿越能力。基于优化的PI控制器参数的ALO改善了低压穿越（LVRT）性能和最大功率点跟踪。ALO在机器侧变流器系统和电网侧变流器上的经典PI控制器中实现，以从PMSG提取最大功率并增强LVRT。本文考虑了四种情况，以检验所提出的ALO-PI控制器的可行性。建议的情况是系统在正常条件下运行，风速有阶跃变化，在正常电网条件下风速变化以及三相故障。与传统的PI控制器相比，应用ALO-PI控制器时系统动态性能的显着改善。