Design And Implementation of An Intelligent Grid-Connected Inverter Using Model Predictive and Adaptive Control for Enhanced Stability Under Dynamic Grid Conditions

In this study proposes a simple, cost effective and efficient system for solar photovoltaic applications. Solar energy is considered as fastest growing renewable energy source after wind energy for electricity generation. Solar energy is a free, clean abundant sun energy considered as inexhaustible source for electricity generation. Solar photovoltaic system is characterized with variable output power due to its operation dependency on solar irradiance and cell temperature. To maximize the energy generation potential of solar PV, research effort is focused on solar cell manufacturing technology to increase its generation efficiency and exploring advancement in power electronic devices for small- and large-scale deployment. In this study is a single-phase inverter with no transformer for solar PV application. A closed loop DC-DC boost converter that accepts wide input DC voltage assumed to be from 40-60V to produce constant 330V DC voltage is modelled in MATLAB/Simulink. An H-bridge 3-level inverter is used to convert the DC voltage to chopped AC voltage. Then filtered to give pure sinusoidal AC of 230 V RMS. The output voltage of the inverter should have a very low total harmonic distortion within <1% makes the system suitable for local AC load and grid connection.