ERef Bayreuth

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Distributed and decentralized control of residential energy systems incorporating battery storage

Title data

Worthmann, Karl ; Kellett, Christopher M. ; Braun, Philipp ; Grüne, Lars ; Weller, Steven R.:
Distributed and decentralized control of residential energy systems incorporating battery storage.
In: IEEE Transactions on Smart Grid. Vol. 6 (2015) Issue 4 . - pp. 1914-1923.
ISSN 1949-3053
DOI: https://doi.org/10.1109/TSG.2015.2392081

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Project information

Project title:	Project's official title Project's id Marie-Curie Initial Training Network "Sensitivity Analysis for Deterministic Controller Design" (SADCO) 264735-SADCO DFG Priority Program 1305 "Control theory for digitally networked dynamical systems", Project "Development of decentralized asynchronous predictive control methods for digitally networked systems" GR1569/12-2 ARC Future Fellowship FT1101000746
Project financing:	7. Forschungsrahmenprogramm für Forschung, technologische Entwicklung und Demonstration der Europäischen Union Deutsche Forschungsgemeinschaft Australian Research Council

Abstract in another language

The recent rapid uptake of residential solar photovoltaic (PV) installations provides many challenges for electricity distribution networks designed for one-way power flow from the distribution company to the residential customer. For gridconnected installations, intermittent generation as well as large amounts of generation during low load periods can lead to a degradation of power quality and even outages due to overvoltage conditions. In this paper we present four control methodologies to mitigate these difficulties using small-scale distributed battery storage. These four approaches represent three different control architectures: centralized, decentralized, and distributed control. These approaches are validated and compared using data on load and generation profiles from customers in an Australian electricity distribution network.

Further data

Item Type:	Article in a journal
Refereed:	Yes
Keywords:	distributed generation; energy storage; model predictive control (MPC)
Institutions of the University:	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 > Advanced Fields > Nonlinear Dynamics 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) Profile Fields Profile Fields > Advanced Fields Research Institutions > Research Centres > Forschungszentrum für Modellbildung und Simulation (MODUS) Research Institutions Research Institutions > Research Centres
Result of work at the UBT:	Yes
DDC Subjects:	500 Science > 510 Mathematics
Date Deposited:	05 May 2015 06:49
Last Modified:	13 Sep 2022 13:01
URI:	https://eref.uni-bayreuth.de/id/eprint/12673

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Distributed and decentralized control of residential energy systems incorporating battery storage. (deposited 18 Apr 2015 21:00)
- Distributed and decentralized control of residential energy systems incorporating battery storage. (deposited 05 May 2015 06:49) [Currently Displayed]