期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2013
卷号：5
期号：1
页码：23
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Overhead transmission line is an element of electrical power systems that are most frequently experiencedshort circuit faults compared to other power system elements. Short circuit faults on overhead transmissionline cause a relatively large current and therefore can damage mechanically the electrical equipmentconnected to the system. The protection system is essentially needed in this situation. In addition, it takes apiece of equipment that can detect the location of fault in order to expedite the repair process, especially ifthe fault is permanent state. In this paper, a neuro-fuzzy aprroach for short circuit fault location estimationwhich uses data from both ends of overhead transmission line is described. The approach utilizes theadvantages of digital relaying which are available today. The unsynchronized data of fault voltages andcurrents at two-end of overhead transmission line is applied in this technique. The accurate fault locationestimation technique has irrespective of source impedances, fault resistances, fault types, and loadcurrents. Simulation of short circuit fault of transmission line has done by using EDSA software. Shortcircuit currents and voltages from both ends of overhead transmission line have used to input data ofneuro-fuzzy method in Matlab program. Simulation results demonstrate the accuracy of the method. Theresults shows that the lowest estimation error for single phase to ground fault with the variation of faultresistances of 0 ohms, 10 ohms, 50 ohms, and 100 ohms, respectively, is 0.0027%, while the highestestimation error is 0.2962%.
