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Distributed optimization based control on the example of microgrids

Title data

Braun, Philipp ; Sauerteig, Philipp ; Worthmann, Karl:
Distributed optimization based control on the example of microgrids.
Newcastle, Australia ; Ilmenau, Germany , 2018 . - 28 p.

Official URL: Volltext

Project information

Project financing: Bundesministerium für Bildung und Forschung
KONSENS: Konsistente Optimierung und Stabilisierung elektrischer Netzwerksysteme Teilprojekt: Verteilte Optimierung und Regelung für Microgrids

Abstract in another language

Model Predictive Control (MPC) is nowadays one of the most successful advanced process control methodologies and is used in a wide range of applications. While originally limited to processes with slow dynamics and a limited number of states, the applicability of MPC schemes increased dramatically over the last years due the performance of modern microchips and the concurrent advancements of mathematical optimization, in particular distributed optimization. In this paper we outline the ideas of distributed optimization schemes embedded in MPC implementations on the example of the dual ascent algorithm and the alternating direction method of multipliers. The performance and the properties of the resulting distributed optimization based control schemes are illustrated on the example of a network of distributed energy systems. In particular, the overall power demand of the network is optimized by using flexibilities resulting from distributed storage devices and controllable loads.

Further data

Item Type: Preprint, postprint, working paper, discussion paper
Keywords: Model Predictive Control; Distributed Optimization; Demand-Side Management
Institutions of the University: 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)
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Applied Mathematics (Applied Mathematics)
Profile Fields > Advanced Fields > Nonlinear Dynamics
Faculties
Profile Fields
Profile Fields > Advanced Fields
Result of work at the UBT: No
DDC Subjects: 500 Science > 510 Mathematics
Date Deposited: 23 Jun 2018 21:00
Last Modified: 15 Mar 2019 10:20
URI: https://eref.uni-bayreuth.de/id/eprint/44669