Comparison of Linear State Signal Shaping Model Predictive Control with Classical Concepts for Active Power Filter Design
Kathrin Weihe, Carlos Cateriano Yáñez, Georg Pangalos, Gerwald Lichtenberg
2018
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.
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in Harvard Style
Yáñez C., Pangalos G. and Lichtenberg G. (2018). Comparison of Linear State Signal Shaping Model Predictive Control with Classical Concepts for Active Power Filter Design.In Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-323-0, pages 167-174. DOI: 10.5220/0006910401670174
in Bibtex Style
@conference{simultech18,
author={Carlos Cateriano Yáñez and Georg Pangalos and Gerwald Lichtenberg},
title={Comparison of Linear State Signal Shaping Model Predictive Control with Classical Concepts for Active Power Filter Design},
booktitle={Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2018},
pages={167-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006910401670174},
isbn={978-989-758-323-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Comparison of Linear State Signal Shaping Model Predictive Control with Classical Concepts for Active Power Filter Design
SN - 978-989-758-323-0
AU - Yáñez C.
AU - Pangalos G.
AU - Lichtenberg G.
PY - 2018
SP - 167
EP - 174
DO - 10.5220/0006910401670174