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Comparison of Linear State Signal Shaping Model Predictive Control with Classical Concepts for Active Power Filter Design

 
: Weihe, Kathrin; Cateriano Yáñez, Carlos; Pangalos, Georg; Lichtenberg, Gerwald

:

Rango, F. de ; Institute for Systems and Technologies of Information, Control and Communication -INSTICC-, Setubal:
8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2018. Proceedings : July 29-31, 2018, Porto, Portugal
SciTePress, 2018
ISBN: 978-989-758-323-0
S.167-174
International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH) <8, 2018, Porto>
Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
NEW 4.0
Englisch
Konferenzbeitrag
Fraunhofer ISIT ()
model predictive control; active power filter

Abstract
Many power networks are currently under major change processes due to the necessary integration of renewable energy sources. This brings the need to include Active Power Filter (APF) as well as controlling them in an adequate way. New control concepts like Linear State Signal Shaping Model Predictive Control (LSSS MPC) are specialized for these tasks and complex compared to classical concepts. Simulation studies show the advantages of LSSS MPC in performance, robustness and Total Harmonic Distortion (THD) compensation.

: http://publica.fraunhofer.de/dokumente/N-572288.html