Optimal α-Variable Model-Free Adaptive Barrier Function Fractional Order Nonlinear Sliding Mode Control for Four Area Interconnected Hybrid Power System With Nonlinearities

作者：Omer Abbaker Ahmed Mohammed, Lingxi Peng, Gehad Abdullah Amran, Hussain AlSalman, Modawy Adam Ali Abdalla, Omar Alkawmani, Muhammad Mursil, Bassiouny Saleh · 发表于：IEEE Access · 年份：2024 · DOI：10.1109/access.2024.3391611 · 被引用次数：11 · 研究领域：Frequency Control in Power Systems、Microgrid Control and Optimization、Advanced DC-DC Converters

This paper proposes an optimal α-variable model-free adaptive barrier-function fractional-order nonlinear sliding mode control (α(t)-MF-ABFFONSMC) for the load frequency control (LFC) problem of a four-area interconnected hybrid power system with boiler dynamics and physical constraints. The proposed α(t)-MF-ABFFONSMC is comprised of the ultra-local model (ULM)-based sliding mode disturbance observer (SMDO), proportional-differential (PD) controller, and adaptive barrier-function fractional-order nonlinear sliding mode control (ABFFONSMC). The ULM mechanism is utilized to re-formulate the complex four-area interconnected hybrid power system so as to reduce the controller’s design complexity, wherein SMDO is utilized to observe and eliminate the uncertain dynamics or lumped disturbance. Then, the SMDO based-iPD controller is designed. However, there always exists non-null estimation error under the SMDO method and the control performance cannot be ensured. Therefore, the ABFFONSMC is proposed and inserted into the SMDO-iPD controller to avoid the impact of estimation error and improve the control performance. In addition, an adaptive gain based on barrier function is formulated to approximate the upper bound of SMDO’s estimation error and thus decrease the undesired chattering on the sliding surface. Correspondingly, the α(t)-MF-ABFFONSMC is established. Moreover, the parameter optimizer based on the Marine Predator Algorithm (MPA) is proposed to tune the parameters of the pro...