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Kull, Tobias ; Zeilmann, Bernd ; Fischerauer, Gerhard:
Modular Model Composition for Rapid Implementations of Embedded Economic Model Predictive Control in Microgrids.
In: Applied Sciences.
Bd. 11
(2021)
Heft 22
.
- 10602.
ISSN 2076-3417
DOI: https://doi.org/10.3390/app112210602
Volltext
Angaben zu Projekten
| Projekttitel: |
Offizieller Projekttitel Projekt-ID Open Access Publizieren Ohne Angabe |
|---|---|
| Projektfinanzierung: |
Bundesministerium für Wirtschaft und Technologie |
Abstract
Economic model predictive control in microgrids combined with dynamic pricing of grid electricity is a promising technique to make the power system more flexible. However, to date, each individual microgrod requires major efforts for the mathematical modelling, the implementation on embedded devices, and the qualification of the control. In this work, a field suitable generalized linear microgrid model is presented. This scalable model is instantiated on field-typical hardware and in a modular way, so that a class of various microgrids can be easily controlled. This significantly reduces the modelling effort during commissioning, decreases the necessary qualification of commissioning staff, and allows for easy integration of additional microgrid devices during operation. An exemplary model, derived from an existing production facility microgrid, is instantiated and characteristics of the results are analysed.