An Optimal Switching Sequence Model Predictive Control Scheme for the 3L-NPC Converter with Output LC Filter

Herrera, Felipe

Abstract

In some applications of microgrids and distributed generation, it is necessary to feed islanded or stand-alone loads with high-quality voltage to provide low total harmonic distortion (THD). To fulfil these demands, an (Formula presented.) filter is usuallyconnected to the output terminals of power electronics converters. A cascaded voltage and current control loop with pulse-width modulation schemes are used to regulate the voltages and currents in these systems. However, these strategies have some drawbacks, particularly when multiple-input–multiple-output plants (MIMO) are controlled using single-input–single-output (SISO) design methods. This methodology usually produces a sluggish transient response and cross–coupling between different control loops and state variables. In this paper, a model predictive control (MPC) strategy based on the concept of optimal switching sequences (OSS) is designed to control voltage and current in an (Formula presented.) filter connected to a three-level neutral-point clamped converter. The strategy solves an optimisation problem to achieve control of the (Formula presented.) filter variables, i.e., currents and output voltages. Hardware-in-the-loop (HIL) results are obtained to validate the feasibility of the proposed strategy, using a PLECS–RT HIL platform and a dSPACE Microlab Box controller. In addition to the good dynamic performance of the proposed OSS–MPC, it is demonstrated using HIL results that the control algorithm is capable of obtaining low total harmonic distortion (THD) in the output voltage for different operating conditions. © 2024 by the authors.

Más información

Título según WOS: An Optimal Switching Sequence Model Predictive Control Scheme for the 3L-NPC Converter with Output LC Filter
Título según SCOPUS: An Optimal Switching Sequence Model Predictive Control Scheme for the 3L-NPC Converter with Output LC Filter
Título de la Revista: Processes
Volumen: 12
Número: 2
Editorial: Multidisciplinary Digital Publishing Institute (MDPI)
Fecha de publicación: 2024
Idioma: English
DOI:

10.3390/pr12020348

Notas: ISI, SCOPUS