Model Predictive Control for Voltage Regulation of Standalone Self-Excited Induction Generator

Abstract

This paper deals with a predictive current control strategy applied to voltage regulation in off-grid microgeneration systems based on self-excited induction generator (SEIG). A finite-control-set model predictive control (FCS-MPC) is used. This controller runs a discrete- time model to predict the future behavior of inverter currents for each switching state, then a control action is defined minimizing an appropriate cost function. Also combining proportional integral actions, the proposed control is capable of properly performing voltage regulation and harmonic compensation of positive, negative and zero sequence. The four-leg inverter is employed as DSTATCOM, this topology is a commonly used solution for powering standalone systems as it provides balanced three-phase voltages even under unbalanced load conditions. Simulations are presented to validate the proposed control technique, as well as to evaluate the performance of the system based on the IEEE 519-2014 and IEEE 1159-2009 Power Quality Standards.