{"ID":2838633,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.19460","arxiv_id":"2511.19460","title":"Systemic approach for modeling a generic smart grid","abstract":"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.","short_abstract":"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 manag...","url_abs":"https://arxiv.org/abs/2511.19460","url_pdf":"https://arxiv.org/pdf/2511.19460v1","authors":"[\"Sofiane Ben Amor\",\"Guillaume Guerard\",\"Loup-Noé Levy\"]","published":"2025-11-21T14:51:23Z","proceeding":"cs.DC","tasks":"[\"cs.DC\",\"cs.AI\",\"eess.SY\"]","methods":"[]","has_code":false}