Since the DFIGs have been widely used in the modern electric power system, they must participate in the frequency regulation and active power generation during different internal and external disturbance conditions. The amassed kinetic energy in the rotating components due to acceleration and deceleration operating conditions can appropriately support the active power generation. Loss of the rotor speed equilibrium leads to overspeed of the DFIG's rotor and accordingly instability condition. An imbalance between power generation and demand can create a significant deviation in the frequency of the power system, that is, the speed and frequency of the generator increase due to reduced load and increased power, and vice versa. Hence, the frequency of the power system is basically considered a prominent measure for maintaining the balance of active power, while various frequency regulation strategies such as inertial response and frequency control have been widely used for DFIG. On the other hand, the synchronization control-based power generation by DFIG can cause an instability condition during the severe disturbances. This paper proposes ASCS-AHSMC to accurately regulate the system frequency and maintain the synchronization. To appraise the performance of the proposed controller, it has been compared with the conventional SMC and Fuzzy-based SMC. Furthermore, DFIG experiences less stable conditions under different wind variation models and short circuit to validate the controllability of ASCS-AHSMC. Finally, the performance of the ASCS-AHSMC has been well approved under different disturbance conditions as compared with the conventional SMC and the Fuzzy-based SMC.

中文翻译：

---

基于自适应高阶滑模控制器的双馈感应发电机同步及频率控制策略

由于双馈发电机在现代电力系统中得到广泛应用，在不同的内外扰动条件下，它们必须参与频率调节和有功发电。由于加速和减速工况而在旋转部件中积累的动能可以适当地支持有功发电。转子速度平衡的丧失导致双馈转子的超速和相应的不稳定状态。发电量和需求量之间的不平衡会造成电力系统频率的显着偏差，即由于负载减少和功率增加，发电机的速度和频率增加，反之亦然。因此，电力系统的频率基本上被认为是维持有功功率平衡的重要措施，而惯性响应和频率控制等各种频率调节策略已广泛应用于双馈电机。另一方面，双馈发电机基于同步控制的发电在严重扰动期间会导致不稳定状态。本文提出ASCS-AHSMC来精确调节系统频率并保持同步。为了评估所提出的控制器的性能，将其与传统的 SMC 和基于模糊的 SMC 进行了比较。此外，DFIG 在不同的风变模型和短路下经历不太稳定的条件，以验证 ASCS-AHSMC 的可控性。最后，