The Intelligent Analysis Model for Power Grid Risk Warning Based on Maintenance Methods

This paper addresses the challenges in inspection management during power grid operations by designing and implementing an intelligent analysis model for risk warning based on maintenance methods. The model takes into account multiple factors, such as grid network topology, critical user access modes, and maintenance schedules. Through mathematical models and intelligent analysis technologies, real-time monitoring and analysis of equipment status, load conditions, and topological connections in the grid are conducted, enabling intelligent judgment and risk warnings of potential risks in the grid. To verify the effectiveness of the model, a case study using the IEEE 33-node system was conducted. The results show that the model has significant advantages in improving grid safety and maintenance management efficiency.