Résumé
Multi-objective optimization plays a significant role in optimizing the sizing and operation of Renewable Energy Communities (RECs), facilitating informed decision-making through precise Pareto curves. In this study, we extend a model to incorporate thermal loads and explore the effectiveness of the A-AUGMECON2 algorithm and the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) for solving it. Through comparative analysis, we aim to assess the performance and robustness of different optimization approaches in enhancing the sustainability and efficiency of REC operation.
| langue originale | Anglais |
|---|---|
| titre | Proceedings - 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024 |
| rédacteurs en chef | Zbigniew Leonowicz, Erika Stracqualursi |
| Editeur | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronique) | 9798350355185 |
| Les DOIs | |
| état | Publié - 1 janv. 2024 |
| Evénement | 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024 - Rome, Italie Durée: 17 juin 2024 → 20 juin 2024 |
Série de publications
| Nom | Proceedings - 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024 |
|---|
Une conférence
| Une conférence | 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024 |
|---|---|
| Pays/Territoire | Italie |
| La ville | Rome |
| période | 17/06/24 → 20/06/24 |
SDG des Nations Unies
Ce résultat contribue à ou aux Objectifs de développement durable suivants
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SDG 7 Énergie abordable et propre
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