Hachana Oussama, Meghni Billel, Benamor Afaf, Toumi Ilham
Department of Drilling and Rig Mechanics, Faculty of Hydrocarbons, Renewable Energies, and Earth and Universe Sciences, University of Ouargla, 30000, Algeria.
Department of Electrical Engineering, LSEM Laboratory, University Badji Mokhtar, Annaba, 23000, Algeria.
ISA Trans. 2022 Dec;131:377-396. doi: 10.1016/j.isatra.2022.05.014. Epub 2022 May 20.
To well manage the quality of the injected electrical power into the grid from a variable speed wind turbine (VSWT), direct power control (DPC) scheme using second order sliding mode control (SOSMC) based on super-twisting algorithm (STA) approach is proposed. Meanwhile, for reaching the adequate gains of STA, an appropriate optimizer should be implemented. Therefore, shuffled complex evolution (SCE) algorithm-based parameter identification is suggested. To verify the effectiveness of the proposed SCE based controller, several well-known algorithms have been tested under various operating conditions namely: particle swarm optimizer (PSO), artificial bee colony optimizer (ABCO), ant colony optimization (ACO), rooted tree optimizer (RTO) and gray wolf optimizer (GWO). The results confirm the superiority of the proposed SCE algorithm among the competing algorithms and classic SMC regarding the active power steady-state error (0.7233%), undershoot percentage (0.1333%), settling time (0.6810 × 10 s), rise time (1.7515 × 10 s), peak value (7.0521 × 10 W), overall efficiency (99.2800%), and total harmonic distortion (0.7900%). The proposed SCE based controller allows getting important performances under various operating condition of wind speed and load variations with interesting electrical network stability.
为了有效管理变速风力涡轮机（VSWT）注入电网的电能质量，提出了基于超扭曲算法（STA）的二阶滑模控制（SOSMC）直接功率控制（DPC）方案。同时，为了获得STA的适当增益，应实施合适的优化器。因此，建议采用基于洗牌复合进化（SCE）算法的参数辨识方法。为了验证所提出的基于SCE的控制器的有效性，在各种运行条件下对几种著名算法进行了测试，即：粒子群优化器（PSO）、人工蜂群优化器（ABCO）、蚁群优化（ACO）、根树优化器（RTO）和灰狼优化器（GWO）。结果证实，在所竞争的算法和经典滑模控制中，所提出的SCE算法在有功功率稳态误差（0.7233%）、下冲百分比（0.1333%）、调节时间（0.6810×10 s）、上升时间（1.7515×10 s）、峰值（7.0521×10 W）、总效率（99.2800%）和总谐波失真（0.7900%）方面具有优越性。所提出的基于SCE的控制器能够在风速和负载变化的各种运行条件下获得重要性能，并具有良好的电网稳定性。
