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The coordinated planning of distribution networks and microgrids is essential for promoting distributed energy resource utilization and enhancing the economic operation of power supply systems. However, such planning directly alters operational characteristics and fault recovery processes, thereby impacting system reliability. This paper establishes a reliability assessment model that accounts for the coordinated recovery of distribution networks and microgrids. By employing a two-stage optimization method with mixed-integer recourse and introducing a virtual microgrid partitioning strategy, the model integrates reliability assessment with distribution system planning. This integration enables reliability enhancement through ring network design, microgrid siting, and coordinated recovery strategies. To address the coupling characteristics of planning variables and considering virtualization management constraints, an adaptive row generation decomposition algorithm is proposed. This algorithm incorporates Lagrange cuts, strengthened Benders dual cuts, and partial primal cuts to accelerate the generation of planning schemes within finite iterations. Case studies validate the effectiveness of the proposed model and algorithm. Results demonstrate that incorporating coordinated recovery reduces load transfer requirements among feeders within the distribution system. This finding is significant for developing rational planning schemes for distribution networks and microgrids, thereby improving both reliability and economic efficiency.
HAN et al. (Fri,) studied this question.