Scalable Architectures for Real-Time Outage Inference in Power Distribution Networks Using Dynamic Outage Graph Models

This paper introduces a comprehensive and scalable approach to outage inference in modern electric power distribution systems. As utilities increasingly face the challenge of managing complex network topologies – characterized by dynamic configurations, multiple power sources, and evolving operational states - traditional outage management systems often fall short in delivering timely and accurate diagnostics. The proposed method addresses these limitations by leveraging a network topology aware framework that enables real-time, parallelized processing of outage data, while also supporting on-the-fly updates to the network model. The solution centers on an advanced outage inference engine operating on a dynamically updated outage graph that captures the essential structure of the…