Fault Diagnosis of Power Transmission Line usingPark's Method

• Main Authors: Omer Mokhtar Touati, Khaled, Boudiaf, Mohamed, Cherroun, Lakhmissi
• Format: Conference Proceeding
• Language: English
• Subjects: Artificial neural networks; fault detection; Fault diagnosis; High-voltage techniques; Location awareness; park's method; power line transmission; power system; Power transmission lines; Shape; Simulation
• ISSN: 2474-0446
• DOI: 10.1109/SSD54932.2022.9955689

This paper proposes an efficient diagnosis technique by which the faults in the transmission lines of power systems can be detected and diagnosed effectively by monitoring the phases currents. The proposed diagnosis structure is based on the so-called Park's method. Park's transformation theory is applied to convert the three phase current signals into two signals of direct and quadrature components (d-q). Park's circles patterns are used to classify between 'healthy' and 'faulty' phase. The obtained simulation results show that current park's vector pattern of healthy system and symmetrical faults was perfect circle while current park's vector pattern under asymmetrical faults was elliptical in shape. Using the proposed strategy, the faults of transmission lines can be easily diagnosed by comparing the Park's circle representations. The analysis of the simulation results show that it is possible to detect, identify and locate all different types of short-circuit faults (40 faults) that may occur in the high voltage power transmission line.