Operational planning and optimization for fuel consumption minimization of a microgrid comprising PV-based active generators

This paper presents a medium and long-term operational planning optimization of a microgrid comprising renewable energy-based active generators. The problem of unit commitment is solved by the approach of dynamic programming with the objective of minimizing the fuel consumed by conventional generators. The studied microgrid comprises PV-based active generators with embedded storage and three micro gas turbines. Based on forecasts of the energy available from the PV generators, the storage availability and the power demanded to supply the loads in autonomous mode, the presented algorithm elaborates the 24 hour-ahead operational planning. In function of deviations from the forecasted values and taking into account actual forecasts, the presented medium term energy management adjusts the operational planning.