An Optimization Algorithm for Customer Topological Paths Identification in Electrical Distribution Networks

Accurate identification of network topologies in electrical distribution networks is critical for effective grid management and planning.
However, this task is challenging due to the limited and often inaccurate data available to distribution system operators (DSOs), such as incorrect geographic information system (GIS) records and insufficient coverage of advanced metering infrastructure (AMI).
This paper proposes a novel integer linear programming (ILP) optimization framework for identifying customer topological paths using only static data, including GIS information and customer-to-transformer connections.
The proposed approach is demonstrated on both an academic and a real-world distribution network, showing its ability to handle data inaccuracies. Results indicate that the proposed method provides a robust and practical solution for DSOs to develop accurate digital twins and improve grid visibility, even in the absence of AMI data. This work offers a valuable tool for the digitalization of power distribution systems.