Optimizing photovoltaic integration in grid management via a
Addressing the challenges of integrating photovoltaic (PV) systems into power grids, this research develops a dual-phase optimization model incorporating deep learning
Grid-connected solar photovoltaic (PV) systems are becoming increasingly popular, considering solar potential and the recent cost of PV modules. This study proposes a grid-connected solar PV system with a net metering strategy using the Hybrid Optimization of Multiple Electric Renewables model.
In such systems, due to the intermittency and uncertainty of wind and solar resources, the energy storage system plays a crucial role in enhancing grid stability. This research adopts a load-following strategy to optimize the internal power distribution of the hybrid microgrid.
Diab et al. proposed a simulation model for a PV/wind/diesel hybrid microgrid system with battery bank storage, focusing on optimal sizing to minimize the cost of energy (COE) while increasing system reliability and efficiency, as measured by the loss of power supply probability (LPSP) .
In India, Amit an d Ashutosh presented an optimization study of grid- connected hybrid systems using HOMER, which resu lted in lower levelized COE and emissions . hybrid systems, and the cost of el ectricity is currently lower than off-grid systems .
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