Multi‐point‐line Grounding Fault Section Identification in Urban Distribution Networks by Using Coordinated Multi‐Source Data

ABSTRACT This paper addresses the challenges of fault section identification in distribution networks, particularly in complex scenarios such as multi‐point and multi‐line grounding faults, as well as identification failures caused by abnormal equipment or communication issues. A multi‐source data collaborative fault section identification method for high fault‐tolerant distribution networks is proposed. The method constructs a robust mixed‐integer linear programming cooperative model by integrating zero‐sequence current direction features and fault indicator alarm signals. The model enables the identification of multi‐point and multi‐line grounding fault sections or the correction of abnormal data by designing an objective function that minimises the mismatch between expected and observed values while incorporating topological relationship constraints. Compared to traditional identification methods, the proposed approach offers significant advantages in non‐single‐fault scenarios. It not only reliably identifies multi‐point fault sections but also simultaneously corrects misidentifications and compensates for lost fault signals. The simulation results show that the proposed method has excellent identification performance in different fault scenarios, which provides a new solution to the identification problem of multi‐point and multi‐line grounding fault sections in distribution networks.