Improving grid connected hybrid generation system using an adaptive super-twisting sliding mode and predictive current control strategy

Abstract

In this paper, we propose a new hybrid control structure that integrates predictive current control (PCC) with an adaptive super-twisting sliding mode algorithm (STA) control, known as super-twisting sliding mode predictive current control (STA-PCC) for a three-phase voltage source converter (VSC) connected to the grid. The VSC is interfaced with two renewable energy systems: photovoltaic (PV), Wind Turbine (WT) and Battery Energy Storage System (BESS) for adapt the energy needs of a micro-grid. The STA-PCC applied to the VSC is used to regulate the DC bus voltage and current in a manner to see better dynamic tracking behavior of the power and improving the quality of the energy of the hybrid renewable energy system (HRES). Innovative controls have been developed for DC-DC boost converters to maximize the energy available of the permanent magnet synchronous generator (PMSG) and the bidirectional DC-DC converter to provide BESS with the necessary incoming power. In addition, the performance of the STA-PCC method suggested for the VSC was compared with that of the classical controls, such as: standard Proportional Integral (PI) –PCC control, first order sliding mode control PWM (SMC), Hysteresis Current Control (HCC), Voltage Oriented Control (VOC), and Traditional Direct Power Control (DPC) strategies. Many strategies developed to control the converters have been validated by simulation using Matlab/SIMULINK. It turns out that VSC target control is more reliable in terms of reference tracking, energy quality, dynamic performance and robustness to climate and load variations.