DocumentCode
2728233
Title
A model predictive control approach to reducing low order harmonics in grid inverters with LCL filters
Author
Fischer, Claudia ; Mariethoz, Sebastien ; Morari, Manfred
Author_Institution
Autom. Control Lab., ETH Zurich, Zurich, Switzerland
fYear
2013
fDate
10-13 Nov. 2013
Firstpage
3252
Lastpage
3257
Abstract
Control of grid inverters aims to meet two challenging objectives: zero steady-state tracking offset in the grid current to achieve a high power factor, and attenuation of the inverter and grid harmonics to respect the limits imposed on the current harmonics injected into the grid. This paper proposes an observer-based model predictive control approach to meet these control objectives for single and three-phase grid inverters with LCL filters. A Kalman-filter based observer design is used to estimate the system states and harmonic disturbances based on the grid current measurement. A model predictive control scheme is employed to achieve offset-free reference tracking for the grid current, and rejection of low frequency harmonics. The scheme features not only rejection of grid voltage harmonics, but also rejection of low frequency inverter distortion caused, for example, by nonlinear filter inductances. The effectiveness of the scheme is demonstrated in simulation.
Keywords
Kalman filters; invertors; nonlinear filters; power factor; power grids; power system harmonics; predictive control; Kalman-filter based observer design; LCL filters; grid current measurement; grid harmonics; grid inverters control; grid voltage harmonics; harmonic disturbances; low frequency inverter distortion; low order harmonics; model predictive control scheme; nonlinear filter inductances; observer-based model predictive control; power factor; system states; zero steady-state tracking offset; Harmonic analysis; Inverters; Mathematical model; Observers; Power system harmonics; Predictive control; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location
Vienna
ISSN
1553-572X
Type
conf
DOI
10.1109/IECON.2013.6699649
Filename
6699649
Link To Document