Model predictive control of residential energy systems using energy storage & controllable loads

URN to cite this document: urn:nbn:de:bvb:703-epub-1987-3

Title data

Braun, Philipp ; Grüne, Lars ; Kellett, Christopher M. ; Weller, Steven R. ; Worthmann, Karl:
Model predictive control of residential energy systems using energy storage & controllable loads.
Department of Mathematics, University of Bayreuth
Bayreuth , 2014 . - 7 S.

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Abstract

Local energy storage and smart energy scheduling can be used to fatten energy profiles with undesirable peaks. Extending a recently developed model to allow controllable loads, we present Centralized and Decentralized Model Predictive Control algorithms to reduce these peaks. Numerical results show that the additional degree of freedom leads to improved performance.

Further data

Item Type:	Preprint, postprint
Additional notes (visible to public):	erschienen in: Russo, Giovanni ; Capasso, Vincenzo ; Nicosia, Giuseppe ; Romano, Vittorio (Hrsg.): Progress in Industrial Mathematics at ECMI 2014. - Heidelberg : Springer , 2016 . - S. 617-623 . - (Mathematics in Industry ; 22 ) ISBN 978-3-319-23413-7 DOI: https://doi.org/10.1007/978-3-319-23413-7_85
Keywords:	model predictive control; smart grid application; distributed control
DDC Subjects:	500 Science > 510 Mathematics
Institutions of the University:	Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics) Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics) > Chair Mathematics V (Applied Mathematics) - Univ.-Prof. Dr. Lars Grüne Profile Fields Profile Fields > Advanced Fields Profile Fields > Advanced Fields > Nonlinear Dynamics
Language:	English
Originates at UBT:	Yes
URN:	urn:nbn:de:bvb:703-epub-1987-3
Date Deposited:	02 Apr 2015 09:19
Last Modified:	01 Jun 2021 10:17
URI:	https://epub.uni-bayreuth.de/id/eprint/1987

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