Fuzzy evaluation model of transmission line state based on data monitoring

Transmission lines play a crucial role in ensuring energy supply security and advancing energy transition. This study constructs a fault index system that covers multiple key parameters affecting transmission line operation, comprehensively reflecting their operational status. The study utilizes fuzzy comprehensive evaluation methods to assess the state of transmission lines. By employing fuzzy comprehensive evaluation and membership functions, it quantitatively correlates monitoring data of transmission line states with fault rates, offering a new perspective for reliability assessment in power systems. Case studies and simulations validate that the proposed method effectively evaluates transmission line states, accurately predicts fault rates, and demonstrates good consistency with actual fault data. This research not only provides more scientific decision support for maintenance and fault prevention of transmission lines but also offers theoretical basis for reliability management and optimization of power systems.