A novel joint peak shaving scheduling method for power systems considering carbon emissions

With the continuous increase in the proportion of new energy generation, the randomness and volatility of its output pose great challenges to the peak shaving scheduling of new power systems. This article aims to reduce carbon emissions and achieve peak shaving, and constructs a new power system scheduling method for energy storage, photovoltaic, and thermal power units. It also constructs a hierarchical optimization planning model for battery energy storage systems that considers the uncertainty of new energy output and load. The constructed light and fire storage planning model is solved using the improved analysis objective cascading method. The simulation analysis of the IEEE-24 node system distribution network design example system shows that the proposed method can effectively reduce carbon emissions and complete peak shaving by reasonably configuring thermal energy storage in the new power system.