Title Gedimo vietos nustatymo algoritmų tyrimas /
Translation of Title Research of fault location algorithms.
Authors Pranka, Arnoldas
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Pages 83
Keywords [eng] fault place ; short circuits ; over-voltage
Abstract [eng] Reliability of the power system and uninterrupted power supply to electricity consumers is one of the most important factors in the work of the power system. As it is known power supply in transmission and distribution networks, often breaks down due to short-term and long-term failures. These failures are caused by overvoltages, temporary short circuits, system overloads or mechanical damage in electrical systems, their lines or in other parts of it. Faults can escape by itself, but if the crash is more complicated to fix the fault it is necessary to go physically to the place and remove it. Fault location is one of the most important factors for fast and efficient fault removing. Therefore, a variety of methods are used in the power system to determine the location of a fault. One of them is to use the fault location algorithms. By using algorithms to determine precisely the failure area, various programs are used. The main purpose of the master's thesis is to create and explore a platform that can find the most precise fault location with the help of troubleshooting algorithms. And to explore if developed platform can be used in the power system. In this research I created a platform that would help to identify the fault location by using algorithms. I used the MATLAB computer program to create algorithms. In this research I have created a model that is able to fairly accurately determine the fault location. I tested this model and some of the algorithms that I have applied with real data. I also examined the accuracy of the model and its speed with the data of the simulated system. I have simulated this power system with Simulink simulation program. Based on the results I I have explored the capabilities and application of my platform to the power system.
Dissertation Institution Kauno technologijos universitetas.
Type Master thesis
Language Lithuanian
Publication date 2018