An Energy Management Strategy for Distribution Network-Microgrid Collaboration Based on an Energy Router

The integration of high-penetration distributed generation (DG) into active distribution networks (ADNs) presents significant challenges for power quality and operational stability. The energy router (ER), a core component of the energy internet, offers a promising solution with its capabilities for flexible power flow regulation and energy management. This paper focuses on the energy management strategy for an ADN where multiple microgrids (MGs) are integrated via an ER. We propose a hierarchical optimization architecture coordinating the distribution network layer, the ER layer, and the MG layer. To address the uncertainties inherent in renewable DG outputs within the MGs, a two-stage distributionally robust optimization (DRO) model is developed. This model minimizes the overall system cost while accounting for the worst-case probability distribution of DG scenarios, constructed using a data-driven approach. The column-and-constraint generation (C&CG) algorithm is employed to solve this model efficiently. Case studies on a modified IEEE 33-node distribution network with three microgrids demonstrate the effectiveness of the proposed strategy. The results indicate that the proposed strategy significantly enhances distribution network power quality and DG integration, achieving superior performance over conventional uncertainty-based optimization models.