The Optimal Power Flow problem (OPF) plays a crucial role in the successful energy management of modern smart grids. The diffusion of renewable energy sources poses new challenges to the power grid in which integrated energy storage combined with green generation solutions can help to address challenges associated with both power supply and demand variability. This work refers to a smart grid context and proposes a time indexed OPF model considering storage dynamics, adopting a preference-based optimization method with chance constraints to provide a suitable service level.
A Linear Physical Programming approach to Power Flow and Energy Storage Optimization in Smart Grids Models / Dellino, G.; Meloni, Carlo; Mascolo, Saverio. - 2015:(2015), pp. 224-231. (Intervento presentato al convegno 4th International Conference on Operations Research and Enterprise Systems, ICORES 2015, Lisbon, Portugal, 10-12 January 2015 tenutosi a Lisbon, Portugal) [10.5220/0005293602240231].
A Linear Physical Programming approach to Power Flow and Energy Storage Optimization in Smart Grids Models
MELONI, Carlo;MASCOLO, Saverio
2015
Abstract
The Optimal Power Flow problem (OPF) plays a crucial role in the successful energy management of modern smart grids. The diffusion of renewable energy sources poses new challenges to the power grid in which integrated energy storage combined with green generation solutions can help to address challenges associated with both power supply and demand variability. This work refers to a smart grid context and proposes a time indexed OPF model considering storage dynamics, adopting a preference-based optimization method with chance constraints to provide a suitable service level.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
