Automated Detection of Faults in Overhead Transmission Lines

dc.contributor.authorDuodu, Mary Obutwe
dc.date.accessioned2022-11-09T23:23:57Z
dc.date.available2022-11-09T23:23:57Z
dc.date.issued2021-05
dc.descriptionCapstone Project submitted to the Department of Engineering, Ashesi University in partial fulfillment of the requirements for the award of Bachelor of Science degree in Electrical and Electronic Engineering, May 2021
dc.description.abstractElectricity is a significant aspect of our daily lives. social activities and industries heavily depend on electricity to function. Transmission line protection is an essential issue in power system engineering because 85-87% of power system faults occur in transmission lines. Proper detection of various faults which do occur on transmission lines is very important. This project presents an impedance technique to detect and classify the different shunt faults on transmission lines for quick and reliable protection schemes. Discrimination among different types of faults on the transmission lines is achieved by applying evolutionary programming tools. MATLAB software is used to simulate operating and fault conditions on high voltage transmission line, namely single phase to ground fault, line to line fault, double line to ground and three-phase short circuit fault. These faults are isolated from the system using a designed impedance relay and the distance of the fault is calculated and provided. This research project successfully designed a functional and cost effective fault detection prototype and its simulation was also successful.
dc.description.sponsorshipAshesi University
dc.identifier.citationDuodu, M. O. (2021). Automated Detection of Faults in Overhead Transmission Lines. Ashesi University.
dc.identifier.urihttp://hdl.handle.net/20.500.11988/717
dc.language.isoen_US
dc.publisherAshesi University
dc.subjectsimulationen
dc.titleAutomated Detection of Faults in Overhead Transmission Lines
dc.typeCapstone projecten

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