Assessment of the importance of node recovery and grid framework reconfiguration with consideration of natural disaster impacts

Abstract

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 overlook 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 proposed. First， the ERBN under disaster conditions are comprehensively evaluated， considering the recovery of critical 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 recovery 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 simulated grid. The grid framework is optimized based on this importance， transforming grid connectivity and loop network 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 algorithm. Finally， the effectiveness of the proposed method is validated through case studies.

Keywords

• recovery control
• network reconfiguration
• node importance
• natural disaster