Single Line-to-Ground Fault Type Multilevel Classification in Distribution Network Using Realistic Recorded Waveform

Area of Science:

• Electrical Engineering
• Power Systems Analysis

Background:

• Accurate identification of single line-to-ground faults (SLGFs) is crucial for distribution network safety.
• Understanding SLGF characteristics aids in targeted fault prevention and risk mitigation.

Purpose of the Study:

• To develop a robust method for classifying six types of SLGFs in distribution networks.
• To enhance the reliability and safety of power distribution systems through improved fault identification.

Main Methods:

• Derived a classification criterion for fault transition resistance based on fault zero sequence voltage (ZSV) generation mechanisms.
• Established three additional fault classification criteria by analyzing fault characteristics.
• Proposed a multilevel and multicriteria method integrating four criteria to classify six SLGF types.

Main Results:

• The proposed method successfully classified six types of SLGFs across balanced and unbalanced distribution network topologies.
• Simulations and real-world power grid data verified the method's effectiveness.
• Tests demonstrated the method's robustness against noise and data loss.

Conclusions:

• The developed multilevel, multicriteria approach provides accurate classification of SLGFs.
• This method offers a reliable tool for identifying grounding fault causes and implementing preventative measures.
• The technique enhances the operational safety and stability of power distribution networks.