Two-phase short-term scheduling with renewable energy resources and storage

This paper discusses an approach for modeling a two-phase short-term scheduling with intermittent renewable resources and storage. The first-phase is the day-ahead model which determines the unit commitment operational decisions and feeds them into the second-phase which is a real-time economic dispatch. The model is applied to a case study of a sixteen-bus test system that uses real-time data with a sampling time of five minutes. The results indicate that the application of wind/ESS can impact the overall power losses, peak load reductions, and the commitment of expensive thermal units.