Advances in Fault Location and Detection Techniques for Power Distribution Systems

Dear Colleagues,

With the rapid development of modern power distribution systems, the increasing integration of distributed energy resources, electric vehicles, energy storage systems, and flexible loads has significantly changed the operating characteristics of distribution networks. Traditional passive and radial networks are evolving into active and complex systems with bidirectional power flows, fluctuating fault current levels, changing topologies, and limited measurement coverage. These changes pose new challenges to fault detection, identification, and location. Accurate and timely fault diagnosis is therefore essential for improving the reliability, resilience, and operational efficiency of distribution systems. Recent advances in sensing technologies, intelligent algorithms, data-driven methods, and communication-based monitoring systems provide new opportunities to enhance fault diagnosis performance, support efficient fault isolation and service restoration, reduce outage duration, and improve power supply reliability.

This Special Issue focuses on recent advances in fault location and detection techniques for power distribution systems. Topics of interest for publication include, but are not limited to:

• Fault detection and location in power distribution systems with high penetration of renewable energy resources;
• Early fault warning and high-impedance fault identification based on power disturbance waveforms;
• Data-driven and artificial-intelligence-based fault diagnosis methods;
• Multi-source measurement and monitoring techniques for fault analysis;
• Fault isolation and service restoration in distribution networks  based on artificial-intelligence
• Reliability improvement and practical applications of fault diagnosis techniques

Dr. Shu Zhang
Dr. Wenhai Zhang
Guest Editors

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