Research on Optimization Strategy for Low Carbon Joint Transaction of Virtual Power Plant Considering Aggregatable Resources

To improve energy efficiency and facilitate the advancement and utilization of renewable energy, in this paper we examine the aggregatable resource scale of virtual power plants and investigate the optimization strategy for their low-carbon trading. First of all, it is essential to consider both technological development volume and economic development volume on the resource side to analyze the upper limit of the aggregatable resources. On the other hand, the upper limit of the aggregatable resources on the load side is analyzed, with the adjustable capacity of the load side taken into account. A low-carbon virtual power plant operation transaction framework is designed after that, with each unit within the virtual power plant being individually modeled. Secondly, a low-carbon joint trading optimization strategy for virtual power plants to participate in the electric energy market, carbon trading market and peak shaving auxiliary service market is developed based on the carbon trading mechanism. Finally, an example from a specific area is taken to verify the effectiveness of the model