A New Model Predictive Control Based Method for Control of Grid Connected Inverter Using Predictive Functional Control

Smart energy grid technology plays a crucial role in expediting transition towards cleaner and better distributed energy sources. Nowadays, renewable energy has gained a lot of attention in order to increase efficiency and to reduce the environmental impact of energy consumption. The output power of most used renewable energies such as photovoltaic is DC. Therefore, the inverter must be used to convert the DC voltage to AC to be able to be used in the grid. Consequently, the inverters are important components of smart grids. This paper presents a new model predictive control (MPC) based algorithm using a predictive functional control method to control the voltage and current of the grid-connected inverter. In this mode, the inverter dictates the frequency and voltage of the main grid and inject the required active and reactive power to the grid. The grid voltage is a disturbance to the state-space model of the inverter. To verify the performance of the proposed method several simulations are carried out. The results confirm that the proposed method performs well, and it is robust against different situations.