Long-Prediction-Horizon Near-Optimal Model Predictive Grid Current Control for PWM-Driven VSIs With LCL Filters

• Published in: IEEE transactions on power electronics 2021-02, Vol.36 (2), p.2246-2257
• Main Authors: Lim, Chee Shen, Goh, Hui Hwang, Lee, Sze Sing
• Format: Article
• Language: English
• Subjects: Computer simulation; Cost function; Current control; Data buses; Enumeration; Filter design (mathematics); grid current; model predictive control (MPC); near-optimal MPC; optimal control; Power harmonic filters; Predictive control; Predictive models; Pulse width modulation; Switching frequency; Voltage control
• ISSN: 0885-8993; 1941-0107
• DOI: 10.1109/TPEL.2020.3011227

This article proposed and investigated a near-optimal finite-control-set model-predictive grid current control (NOP-MPGCC) for voltage source inverters (VSIs) with actively damped LCL filters. It carries three advantages: (i) the constant-frequency pulsewidth modulator produces regular switching spectrum-which can ease the LCL filter design process in grid current control applications with medium-to-high carrier ratio; (ii) it avoids the use of the usual first-order assumption in most PI-/PR-based control and the common simplifications adopted in some existing FCS-MPC schemes. This is achieved by considering the third-order behavior using long prediction horizon; and (iii) it can operate near and across the critical frequency, defined using the established classical control definition. Moreover, it retains the intuitive enumeration structure and maximizes the dc-bus utilization through the consideration of entire hexagonal vector space at every control cycle. The theoretical derivation, simulation, and experiment results verify that NOP-MPGCC is potentially a viable direct grid current control scheme for PWM-VSIs with actively damped LCL filters.