Model Predictive Control Strategy of Grid-Tied Converter Control in Weak-Grid Conditions for Containerized Microgrid (CMG) Systems

EasyChair Preprint 8577

Abstract

This paper aims to present a novel approach to design a model predictive controller (MPC) strategy for 3- phase 2-level grid connected inverters in weak-grid conditions particularly for renewable based system with solar and battery energy storage. The proposed control strategy uses a predictive current control methodology to control the decoupled grid currents by predicting the switching states of the devices, which in turn control the power fed to grid while discharging and vice-versa. The MPC essentially a variable switching modulation strategy can excite the output filter near it’s corner frequency, therefore resonance effect can observe and introduces lower order harmonics in output voltage and current. This paper propose a mitigation strategy for the resonance effect in LCL filter. The proposed active damping strategy doesn’t compromise the dynamic performance of the power control of grid-tied inverters.

Keyphrases: Microgrids, Model Predictive Control, Renewable energy resources

@booklet{EasyChair:8577,
  author    = {Gaurav Gupta and Suman Mondal and Ali Maswood},
  title     = {Model Predictive Control Strategy of Grid-Tied Converter Control in Weak-Grid Conditions for Containerized Microgrid (CMG) Systems},
  howpublished = {EasyChair Preprint 8577},
  year      = {EasyChair, 2022}}