Intelligent Enhancement of Distribution Networks Based on Swarm Intelligence Control in Complex Power Systems

In response to the demand for intelligent enhancement of distribution networks, and to ensure the safety, stability, and efficiency of their operation, scheduling, and maintenance, we address the challenges posed by the low efficiency and accuracy of large-scale autonomous inspection applications. We have conducted research and applied key technologies for the intelligent enhancement of distribution networks based on swarm intelligence control in complex systems. Our work includes the investigation of situation awareness and risk assessment techniques, employing time-series early warning models to achieve precise control over the operational states of distribution networks. Additionally, we have explored grid-based deployment optimization techniques, utilizing intelligent analysis of digital grid topologies to optimize the placement of distribution network equipment. Furthermore, we have delved into attention mechanisms using graph neural networks as the carrier, effectively solving the problem of fault section localization in distribution networks with topological changes and multiple topological configurations.