Model Predictive Control for Regulating the Inverter in a Standalone Mode

Abstract

The integration of renewable energy sources (RES) into microgrid systems has received considerable interest because of its potential to improve the dependability and sustainability of power grids. To make the renewable energy penetrate the microgrid we use inverters to convert the DC to AC. Inverter based Microgrids can help penetrate the power from the renewable sources and which in turn also increasing the reliability of the grid connection regulate the AC bus voltage and frequency in the presence of the load variability inherent in microgrids, robust, rapid, and precise control system algorithms are required. In the recent times Model Predictive Control (MPC) has risen up as a phenomenal control approach for handling the power flow in microgrid systems. This paper presents a literature survey on recent developments in the MPC of inverters in microgrid systems. The survey discusses the challenges and opportunities of using MPC to regulate voltage and frequency, share power among inverters, and improve the power quality in microgrid systems. This review also highlights the importance of accurate modelling of system dynamics and uncertainties in RES and load demand for effective MPC control. Finally, the survey identifies the need for further research on the integration of MPC with energy management systems to optimize the operation of parallel inverters and energy storage systems in microgrids.