in the repository
Title data
Worthmann, Karl ; Kellett, Christopher M. ; Grüne, Lars ; Weller, Steven R.:
Distributed control of residential energy systems using a market maker.
Bayreuth
,
2014
. - 6 S.
![[thumbnail of WKGW14-IFAC.pdf]](https://epub.uni-bayreuth.de/style/images/fileicons/application_pdf.png) |
|
||||||||
|
Download (390kB)
|
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 Programme "Control theory for digitally networked dynamical 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
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. In particular, for grid-connected 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 two approaches to mitigate these difficulties using small-scale distributed battery storage. The first is a decentralized model predictive control (MPC) approach while the second is a hierarchical distributed MPC approach using a so-called market maker. These approaches are validated and compared using data on load Australian electricity distribution network.
Download Statistics