Two-Stage Day-Ahead and Intra-Day Peak Shaving Strategy Considering Flexible Loads Resources

The increasing integration of renewable energy sources into the electrical grid has led to a growing challenge in managing peak load fluctuations. There is a rising demand for intra-day peak shaving. The advancement of energy management systems has enabled load resources to become dispatchable, which introduces flexibility to the system. In this paper, we propose a two-stage day-ahead and intra-day peak shaving strategy considering direct control loads resources like translatable load, interruptible load, shiftable load and load demand response. By incorporating the scheduling of these DLCs, the peak regulation demand can be effectively reduced, leading to a decrease in operational costs. Finally, the proposed model is verified in a modified IEEE 30-node system.