Systemic approach for modeling a generic smart grid
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915636410580992 |
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| author | Amor, Sofiane Ben Guerard, Guillaume Levy, Loup-Noé |
| author_facet | Amor, Sofiane Ben Guerard, Guillaume Levy, Loup-Noé |
| contents | Smart grid technological advances present a recent class of complex interdisciplinary modeling and increasingly difficult simulation problems to solve using traditional computational methods. To simulate a smart grid requires a systemic approach to integrated modeling of power systems, energy markets, demand-side management, and much other resources and assets that are becoming part of the current paradigm of the power grid. This paper presents a backbone model of a smart grid to test alternative scenarios for the grid. This tool simulates disparate systems to validate assumptions before the human scale model. Thanks to a distributed optimization of subsystems, the production and consumption scheduling is achieved while maintaining flexibility and scalability. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_19460 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Systemic approach for modeling a generic smart grid Amor, Sofiane Ben Guerard, Guillaume Levy, Loup-Noé Distributed, Parallel, and Cluster Computing Artificial Intelligence Systems and Control Smart grid technological advances present a recent class of complex interdisciplinary modeling and increasingly difficult simulation problems to solve using traditional computational methods. To simulate a smart grid requires a systemic approach to integrated modeling of power systems, energy markets, demand-side management, and much other resources and assets that are becoming part of the current paradigm of the power grid. This paper presents a backbone model of a smart grid to test alternative scenarios for the grid. This tool simulates disparate systems to validate assumptions before the human scale model. Thanks to a distributed optimization of subsystems, the production and consumption scheduling is achieved while maintaining flexibility and scalability. |
| title | Systemic approach for modeling a generic smart grid |
| topic | Distributed, Parallel, and Cluster Computing Artificial Intelligence Systems and Control |
| url | https://arxiv.org/abs/2511.19460 |