Modular Model Composition for Rapid Implementations of Embedded Economic Model Predictive Control in Microgrids
Source abstract
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 microgrid requires major efforts for the mathematical modelling, the implementation on embedded devices, and the qualification of the control. In this work, a field-suitable generalised 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 the easy integration of additional microgrid devices during operation. An exemplary model, derived from an existing production facility microgrid, is instantiated, and the characteristics of the results are analysed.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Microgrid Control and Optimization · Smart Grid Energy Management · Advanced Battery Technologies Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Chair of Measurement and Control Systems, Center of Energy Technology (ZET), University of Bayreuth, Universitätsstraße 30, 95447 Bayreuth, Germany
Richter R&W Steuerungstechnik GmbH, 95491 Ahorntal, Germany
Funding
Federal Ministry for Economic Affairs and Energy
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