Relative Influence of Intelligent Current Controllers on Power Quality in Grid-Interactive Solar Inverter System

Abstract

The solar inverter based control technologies have almost saturated the research filed in an application of grid-interactive solar systems. It is mandatory to produce quality of power from solar systems by using efficient inverter control operation with robust and flexible control design. The objective of this paper is to present a comprehensive analysis on two adaptive current controllers used for inverter operation and compare their performances based on THD for the grid injected currents under system dynamics. These artificial intelligent adaptive controllers are driven by neural network concepts followed by reformed weight updation process which entirely helps in minimizing current harmonics generated due to the application of inverter units, non-linear loads or distorted grid. The proposed power and control models are simulated in MATLAB/Simulink platform and their usefulness are measured in terms of power quality.