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A novel data-driven NLMPC strategy for techno-economic microgrid management with battery energy storage under uncertainty

Abstract As renewable energy sources become more widespread and energy consumption continues to grow, there is an urgent requirement for smarter, more flexible control methods to manage microgrids (MGs) effectively. This study proposes a data-driven nonlinear model predictive control (NLMPC) framewo...

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Autores principales: Elnaz Yaghoubi, Elaheh Yaghoubi, Mehdi Zareian Jahromi, Mohammad Reza Maghami, Ali Paşaoğlu, Harold R. Chamorro
Formato: Artigo
Lenguaje:Inglês
Publicado: Nature Portfolio 2025-08-01
Colección:Scientific Reports
Materias:
Nonlinear MPC
Real-time
Energy storage
Microgrid
Data-driven
Uncertainty
Acceso en línea:https://doi.org/10.1038/s41598-025-13906-3
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