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PLC implementation of economic model predictive control for scheduling and dispatch in energy systems

Title data

Kull, Tobias ; Zeilmann, Bernd ; Fischerauer, Gerhard:
PLC implementation of economic model predictive control for scheduling and dispatch in energy systems.
In: Energietechnische Gesellschaft im VDE (ETG) (ed.): ETG-Kongress 2021 : Das Gesamtsystem im Fokus der Energiewende. - Berlin ; Offenbach : VDE Verlag , 2021 . - pp. 179-184 . - (ETG-Fachbericht ; 163 )
ISBN 978-3-8007-5549-3

Abstract in another language

The increasing share of decentral renewable energy in Germany requires the flexibilization of prosumers in the electricity grid. Prosumers that can shift power demand from high price intervals to low price intervals can make use of time-variable electricity prices. In this research an optimization-based method called economic model predictive control (MPC) is implemented on field-typical hardware to show practical considerations of this application. The implementation is evaluated in a hardware-in-the-loop test bench using simulation data obtained from measurements in an existing production facility. In this manner, we demonstrate that the field application of economic MPC is feasible and can generate economic benefits for the energy system operator.

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Engineering Science > Chair Measurement and Control Technology
Profile Fields > Emerging Fields > Energy Research and Energy Technology
Research Institutions > Research Units > ZET - Zentrum für Energietechnik
Faculties
Faculties > Faculty of Engineering Science
Profile Fields
Profile Fields > Emerging Fields
Research Institutions
Research Institutions > Research Units
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 07 Jun 2021 08:07
Last Modified: 07 Jun 2021 08:10
URI: https://eref.uni-bayreuth.de/id/eprint/65270