Schmitt, Thomas ; Engel, Jens ; Rodemann, Tobias ; Adamy, Jürgen (2020)
Application of Pareto Optimization in an Economic Model Predictive Controlled Microgrid.
28th Mediteranean Conference on Control and Automation, MED'20. Saint-Raphaël, FRANCE
Konferenzveröffentlichung, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
This paper presents an economic model predictive control approach for a linear microgrid model. The microgrid in grid-connected mode represents a medium-sized company building including storage systems, renewable energies and couplings between the electrical and heat energy system. Economic model predictive control together with Pareto optimization is applied to find suitable compromises between two competing objectives, i. e. monetary costs and thermal comfort. Using real-world data from 2018 and 2019, the model is simulated with auto-detection of the Pareto solution which is closest to the Utopia point. The results show that the Pareto optimization can either be used in real-time control of the microgrid, or to obtain suitable weights from long term simulations. Both approaches result in significant cost reductions.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2020 |
| Autor(en): | Schmitt, Thomas ; Engel, Jens ; Rodemann, Tobias ; Adamy, Jürgen |
| Art des Eintrags: | Bibliographie |
| Titel: | Application of Pareto Optimization in an Economic Model Predictive Controlled Microgrid |
| Sprache: | Englisch |
| Publikationsjahr: | 2020 |
| Ort: | Germany |
| Veranstaltungstitel: | 28th Mediteranean Conference on Control and Automation, MED'20 |
| Veranstaltungsort: | Saint-Raphaël, FRANCE |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | This paper presents an economic model predictive control approach for a linear microgrid model. The microgrid in grid-connected mode represents a medium-sized company building including storage systems, renewable energies and couplings between the electrical and heat energy system. Economic model predictive control together with Pareto optimization is applied to find suitable compromises between two competing objectives, i. e. monetary costs and thermal comfort. Using real-world data from 2018 and 2019, the model is simulated with auto-detection of the Pareto solution which is closest to the Utopia point. The results show that the Pareto optimization can either be used in real-time control of the microgrid, or to obtain suitable weights from long term simulations. Both approaches result in significant cost reductions. |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik > Regelungsmethoden und Robotik (ab 01.08.2022 umbenannt in Regelungsmethoden und Intelligente Systeme) |
| Hinterlegungsdatum: | 02 Aug 2024 12:34 |
| Letzte Änderung: | 02 Aug 2024 12:34 |
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Verfügbare Versionen dieses Eintrags
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Application of Pareto Optimization in an Economic Model Predictive Controlled Microgrid. (deposited 10 Jun 2020 12:33)
- Application of Pareto Optimization in an Economic Model Predictive Controlled Microgrid. (deposited 02 Aug 2024 12:34) [Gegenwärtig angezeigt]
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