Methodology for the Automatic Generation of Optimization Models of Systems of Flexible Energy Resources
The integration of increasing shares of intermittent renewable energy necessitates flexibility in both energy generation and consumption. Typically, the operation of flexible energy resources is orchestrated through optimization models. However, the manual creation of these models is a complex and e...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/2/325 |
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| _version_ | 1832588551443709952 |
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| author | Lukas Peter Wagner Felix Gehlhoff Lasse Matthias Reinpold Georg Frey Julian Jepsen Alexander Fay |
| author_facet | Lukas Peter Wagner Felix Gehlhoff Lasse Matthias Reinpold Georg Frey Julian Jepsen Alexander Fay |
| author_sort | Lukas Peter Wagner |
| collection | DOAJ |
| description | The integration of increasing shares of intermittent renewable energy necessitates flexibility in both energy generation and consumption. Typically, the operation of flexible energy resources is orchestrated through optimization models. However, the manual creation of these models is a complex and error-prone task, often requiring the expertise of domain specialists. This work introduces a methodology for the automatic generation of optimization models for systems of flexible energy resources to simplify the modeling process and increase the use of energy flexibility. This methodology utilizes a modular, generic model structure designed to depict systems of flexible energy resources. It incorporates algorithms for model parameter derivation from operational data and an information model that represents the system’s structure and dependencies of resources. The efficacy of this methodology is demonstrated in two case studies, highlighting its relevance and ability to significantly streamline the optimization modeling process by minimizing the need for manual intervention. |
| format | Article |
| id | doaj-art-57acde7fd31b4fa3abbef99c4c94ac4f |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-57acde7fd31b4fa3abbef99c4c94ac4f2025-01-24T13:31:04ZengMDPI AGEnergies1996-10732025-01-0118232510.3390/en18020325Methodology for the Automatic Generation of Optimization Models of Systems of Flexible Energy ResourcesLukas Peter Wagner0Felix Gehlhoff1Lasse Matthias Reinpold2Georg Frey3Julian Jepsen4Alexander Fay5Institute of Automation Technology, Helmut Schmidt University, 22043 Hamburg, GermanyInstitute of Automation Technology, Helmut Schmidt University, 22043 Hamburg, GermanyInstitute of Automation Technology, Helmut Schmidt University, 22043 Hamburg, GermanyChair of Automation and Energy Systems, Saarland University, 66123 Saarbrücken, GermanyInstitute of Materials Science, Helmut Schmidt University, 22043 Hamburg, GermanyChair of Automation, Ruhr University, 44801 Bochum, GermanyThe integration of increasing shares of intermittent renewable energy necessitates flexibility in both energy generation and consumption. Typically, the operation of flexible energy resources is orchestrated through optimization models. However, the manual creation of these models is a complex and error-prone task, often requiring the expertise of domain specialists. This work introduces a methodology for the automatic generation of optimization models for systems of flexible energy resources to simplify the modeling process and increase the use of energy flexibility. This methodology utilizes a modular, generic model structure designed to depict systems of flexible energy resources. It incorporates algorithms for model parameter derivation from operational data and an information model that represents the system’s structure and dependencies of resources. The efficacy of this methodology is demonstrated in two case studies, highlighting its relevance and ability to significantly streamline the optimization modeling process by minimizing the need for manual intervention.https://www.mdpi.com/1996-1073/18/2/325automatic model generationenergy flexibilityoptimization model |
| spellingShingle | Lukas Peter Wagner Felix Gehlhoff Lasse Matthias Reinpold Georg Frey Julian Jepsen Alexander Fay Methodology for the Automatic Generation of Optimization Models of Systems of Flexible Energy Resources Energies automatic model generation energy flexibility optimization model |
| title | Methodology for the Automatic Generation of Optimization Models of Systems of Flexible Energy Resources |
| title_full | Methodology for the Automatic Generation of Optimization Models of Systems of Flexible Energy Resources |
| title_fullStr | Methodology for the Automatic Generation of Optimization Models of Systems of Flexible Energy Resources |
| title_full_unstemmed | Methodology for the Automatic Generation of Optimization Models of Systems of Flexible Energy Resources |
| title_short | Methodology for the Automatic Generation of Optimization Models of Systems of Flexible Energy Resources |
| title_sort | methodology for the automatic generation of optimization models of systems of flexible energy resources |
| topic | automatic model generation energy flexibility optimization model |
| url | https://www.mdpi.com/1996-1073/18/2/325 |
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