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Quasi-First-Principle Based Grey-Box Modelling of Microscale Trigeneration Systems for Application in Automatic Control

  • With the need for automatic control based supervisory controllers for complex energy systems, comes the need for reduced order system models representing not only the non-linear behaviour of the components but also certain unknown process dynamics like their internal control logic. At the Institute of Energy Systems Technology in Offenburg we have built a real-life microscale trigeneration plantWith the need for automatic control based supervisory controllers for complex energy systems, comes the need for reduced order system models representing not only the non-linear behaviour of the components but also certain unknown process dynamics like their internal control logic. At the Institute of Energy Systems Technology in Offenburg we have built a real-life microscale trigeneration plant and present in this paper a rational modelling procedure that satisfies the necessary characteristics for models to be applied in model predictive control for grid-reactive optimal scheduling of this complex energy system. These models are validated against experimental data and the efficacy of the methodology is discussed. Their application in the future for the optimal scheduling problem is also briefly motivated.show moreshow less

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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/3022
Bibliografische Angaben
Title (English):Quasi-First-Principle Based Grey-Box Modelling of Microscale Trigeneration Systems for Application in Automatic Control
Conference:IFAC Symposium on Control of Power and Energy Systems CPES (10. : September 4-6, 2018 : Tokyo, Japan)
Author:Parantapa Amarsinh SawantStaff MemberORCiDGND, Jens PfafferottStaff MemberORCiDGND, Clemens Felsmann
Year of Publication:2018
Publisher:Elsevier
First Page:690
Last Page:695
Parent Title (English):IFAC-PapersOnLine
Editor:Kwang Lee
Volume:51
Issue:28
ISSN:2405-8963
DOI:https://doi.org/10.1016/j.ifacol.2018.11.785
Language:English
Inhaltliche Informationen
Institutes:Fakultät Maschinenbau und Verfahrenstechnik (M+V)
Institutes:Bibliografie
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt