Optimizing the target grid framework during network reconfiguration is crucial for the recovery of the power system.Existing methods for assessing node importance and optimizing the target grid framework often over-look the impact of natural disasters,expected recovery benefits of nodes(ERBN),and the necessity for expanded concurrent recovery zones.To address these challenges,a network reconfiguration method for power systems is pro-posed.First,the ERBN under disaster conditions are comprehensively evaluated,considering the recovery of criti-cal loads,expanded available power,and the capacity for incremental recovery.The importance of both generating and non-generating nodes is unified based on their expected recovery benefits,taking into account the available re-covery power margin.Then,a method for multi-time-point recoverable state simulation based on time sequence Monte Carlo simulation is proposed under disaster conditions to assess the importance of nodes and lines in the simu-lated grid.The grid framework is optimized based on this importance,transforming grid connectivity and loop net-work constraints into penalty functions that are incorporated into the fitness function.This approach eliminates the need for optimization adjustments to unreasonable grid frameworks,thereby improving the efficiency of the algo-rithm.Finally,the effectiveness of the proposed method is validated through case studies.
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