Modular Model Composition for Rapid Implementations of Embedded Economic Model Predictive Control in Microgrids

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...

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Autores principales:	Tobias Kull, Bernd Zeilmann, Gerhard Fischerauer
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	economic model predictive control microgrid modelling power system flexibilisation Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/2878c0ce1cb047d899e17f0927f6963d
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spelling	oai:doaj.org-article:2878c0ce1cb047d899e17f0927f6963d2021-11-25T16:32:46ZModular Model Composition for Rapid Implementations of Embedded Economic Model Predictive Control in Microgrids10.3390/app1122106022076-3417https://doaj.org/article/2878c0ce1cb047d899e17f0927f6963d2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10602https://doaj.org/toc/2076-3417Economic 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.Tobias KullBernd ZeilmannGerhard FischerauerMDPI AGarticleeconomic model predictive controlmicrogrid modellingpower system flexibilisationTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10602, p 10602 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	economic model predictive control microgrid modelling power system flexibilisation Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	economic model predictive control microgrid modelling power system flexibilisation Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Tobias Kull Bernd Zeilmann Gerhard Fischerauer Modular Model Composition for Rapid Implementations of Embedded Economic Model Predictive Control in Microgrids
description	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.
format	article
author	Tobias Kull Bernd Zeilmann Gerhard Fischerauer
author_facet	Tobias Kull Bernd Zeilmann Gerhard Fischerauer
author_sort	Tobias Kull
title	Modular Model Composition for Rapid Implementations of Embedded Economic Model Predictive Control in Microgrids
title_short	Modular Model Composition for Rapid Implementations of Embedded Economic Model Predictive Control in Microgrids
title_full	Modular Model Composition for Rapid Implementations of Embedded Economic Model Predictive Control in Microgrids
title_fullStr	Modular Model Composition for Rapid Implementations of Embedded Economic Model Predictive Control in Microgrids
title_full_unstemmed	Modular Model Composition for Rapid Implementations of Embedded Economic Model Predictive Control in Microgrids
title_sort	modular model composition for rapid implementations of embedded economic model predictive control in microgrids
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2878c0ce1cb047d899e17f0927f6963d
work_keys_str_mv	AT tobiaskull modularmodelcompositionforrapidimplementationsofembeddedeconomicmodelpredictivecontrolinmicrogrids AT berndzeilmann modularmodelcompositionforrapidimplementationsofembeddedeconomicmodelpredictivecontrolinmicrogrids AT gerhardfischerauer modularmodelcompositionforrapidimplementationsofembeddedeconomicmodelpredictivecontrolinmicrogrids
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Modular Model Composition for Rapid Implementations of Embedded Economic Model Predictive Control in Microgrids

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