Faulty line detection for distribution network based on mathematical morphology

The single-phase grounding fault is the most common fault in the distribution network of resonant grounding. By analyzing the algorithm of arc suppression coil grounding, this paper presents a comprehensive selection algorithm based on mathematical morphology. The proposed algorithm carries out filters preprocessing of the line selection data by using two parallel composite structural elements morphological filters. Then, a method that combines morphological spectrum analysis and morphological peak and valley detection is applied to detect the fault. Results gained from verifying the algorithm by using MATLAB show that when a single-phase grounding fault occurs in the distribution network, this kind of algorithm is not affected by the system operation mode, time and distance of the fault, transition resistance, and the fault inception angle, which in turn proves that the algorithm has high anti-interference capability, adaptability and reliability.