2020/11/06 by Serkan Budak, Budak, Serkan, Bahadır Akbal +1
Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Power Line Inspection Robots #Power Systems Fault Detection #Signal Processing (eess.SP) #Thermal Analysis in Power Transmission #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2011.03238
openalex publication_date 2020/11/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Overhead lines are generally used for electrical energy transmission. Also,\nXLPE underground cable lines are generally used in the city center and the\ncrowded areas to provide electrical safety, so high voltage underground cable\nlines are used together with overhead line in the transmission lines, and these\nlines are called as the mixed lines. The distance protection relays are used to\ndetermine the impedance based fault location according to the current and\nvoltage magnitudes in the transmission lines. However, the fault location\ncannot be correctly detected in mixed transmission lines due to different\ncharacteristic impedance per unit length because the characteristic impedance\nof high voltage cable line is significantly different from overhead line. Thus,\ndeterminations of the fault section and location with the distance protection\nrelays are difficult in the mixed transmission lines. In this study, 154 kV\noverhead transmission line and underground cable line are examined as the mixed\ntransmission line for the distance protection relays. Phase to ground faults\nare created in the mixed transmission line, and overhead line section and\nunderground cable section are simulated by using PSCAD. The short circuit fault\nimages are generated in the distance protection relay for the overhead\ntransmission line and underground cable transmission line faults. The images\ninclude the RX impedance diagram of the fault, and the RX impedance diagram\nhave been detected by applying image processing steps. The regression methods\nare used for prediction of the fault location, and the results of image\nprocessing are used as the input parameters for the training process of the\nregression methods. The results of regression methods are compared to select\nthe most suitable method at the end of this study for forecasting of the fault\nlocation in transmission lines.\n