Aggregation Modeling Method for Distributed Resource Regulation Capacity of Microgrid for Distribution-Microgrid Collaboration

With the continuous improvement of the requirements for the collaborative operation efficiency of distributed energy in the new power system, microgrids (MGs), as the key carrier of distributed resources, are playing an increasingly prominent role in distribution-microgrids (DG-MGs) systems. However, due to its complex internal structure and diverse regulation characteristics, the aggregation modeling and collaborative dispatching of MGs still face challenges such as high modeling complexity, frequent communication, and privacy leakage. To this end, this paper proposes a modeling method for the adjustable capacity of MGs based on the power-energy boundary, and based on this, realizes the collaborative optimization of DG and MGs under decoupling conditions. This method effectively characterizes the overall regulation capacity of the MG by introducing a dimensionality reduction modeling strategy with controllable errors, achieving simplified equivalence of complex internal models. The dispatching center can complete the optimization solution in one go based on this model, avoiding multiple rounds of interaction processes. The simulation results show that the proposed method not only significantly reduces the operating cost of the system, but also improves the scheduling efficiency and scalability. This paper provides a new idea for large-scale DG-MGs collaborative optimization oriented to practical application scenarios.