Sensorless Capacitor Voltage Balancing of a Grid-Tied, Single-Phase Hybrid Multilevel Converter with Asymmetric Capacitor Voltages using Dynamic Programming
Paper in proceeding, 2020

This paper shows a sensorless capacitor voltage balancing control approach for a grid-connected, single-phase hybrid multilevel inverter based on an NPC main stage with a voltage stiff DC-link and an arbitrary number of H-Bridge modules (capacitor modules) with asymmetric capacitor voltages. Using nearest-level control, a model predictive control (MPC) approach with a prediction horizon of one time step is chosen to find an optimal switching-state combination among the redundant switching combinations to balance the capacitor voltages as quick as possible. Using the Lyapunov stability criterion, it is shown that an offline calculated optimal switching-state sequence for each discrete output voltage level can be used to operate the inverter without using any voltage sensors for the capacitor voltages. To validate the stability of the approach, a laboratory inverter with a resistive load is operated with the offline calculated optimal switching-state sequences and it is shown that the capacitor voltages converge to their desired reference voltages.

Multilevel systems

Modular multilevel converters

Author

Anton Kersten

Chalmers, Electrical Engineering, Electric Power Engineering, Electrical Machines and Power Electronics

Manuel Kuder

Bundeswehr University Munich

Jose Luis Marques-Lopez

Bundeswehr University Munich

Florian Schwitzgebel

Bundeswehr University Munich

Torbjörn Thiringer

Chalmers, Electrical Engineering, Electric Power Engineering, Electrical Machines and Power Electronics

Rainer Marquardt

Bundeswehr University Munich

Thomas Weyh

Bundeswehr University Munich

Richard Eckerle

Bundeswehr University Munich

IECON Proceedings (Industrial Electronics Conference)

Vol. 2020-October 4288-4293 9255073

46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
Virtual; online, Singapore,

Subject Categories

Vehicle Engineering

Control Engineering

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/IECON43393.2020.9255073

More information

Latest update

6/3/2021 1