Improving Stand-Alone Hybrid Generation System Using Sliding Mode Control Approach


  • Ridha Benadli
  • Brahim Khiari
  • Marwen Bjaoui
  • Anis Sellami


This paper presents a robust sliding mode control (SMC) to improve the power quality of a stand-alone hybrid power system. The considered hybrid system includes photovoltaic (PV), wind turbine (WT) based on permanent magnet synchronous generator (PMSG) and battery energy storage systems (BESS). The optimization of the photovoltaic system is powered by a set of Adaptive Perturbation and Observation Algorithm Method (APOAM) to search optimum working of this source. A SMC is utilized to manage the PV voltage to achieve the Maximum Power Point (MPP) by altering the obligation duty cycle. For the wind generation system, a maximum power extraction based on a SMC is proposed for the permanent magnet synchronous generator (PMSG). This study develops non-linear controllers with an SMC method for a PV/Wind/battery system including a boost converter, bidirectional buck-boost converter and voltage source inverter (VSI). Performance verification in MATLAB/Simulink have obviously exhibited the robustness and the performance of the control strategies developed for the power converters framework compared with the conventional PI controller. It is observed from the simulation results that the average THD value is very small compared to the PI controller, around 3.1% compared to 3.91%. Hence, the power quality and the stability of the whole hybrid system are widely improved using SMC compared to other classical PI techniques.




How to Cite

Ridha, Brahim Khiari, Marwen Bjaoui, & Anis Sellami. (2021). Improving Stand-Alone Hybrid Generation System Using Sliding Mode Control Approach. International Journal of Electrical Engineering and Applied Sciences (IJEEAS), 4(2). Retrieved from