Localización de fallas en sistemas eléctricos de distribución basados en impedancia aparente utilizando el método de Ratan Das.

This document presents the Ratan Das method. This method allows the location of faults in distribution systems with branches. The method employs the computation of apparent impedance at the moment a fault occurs. It considers prefault voltages and currents phasor of nodes that are down and up...

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Autor Principal: Ruiz Yange, Cristhian René
Formato: bachelorThesis
Idioma: spa
Publicado: 2018
Materias:
Acceso en línea: http://dspace.ups.edu.ec/handle/123456789/15787
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Sumario: This document presents the Ratan Das method. This method allows the location of faults in distribution systems with branches. The method employs the computation of apparent impedance at the moment a fault occurs. It considers prefault voltages and currents phasor of nodes that are down and up the fault. These data are employed as input for the method and they are being processed to gather a nonlinear equation. This equation could be employed to compute the distance that a fault occurred. When the fault occurred on laterals, they could get several distances. One of these distances is chosen as the closest to the correct one. These distances are calculated by an iterative process. This process includes a random component in order to decrease the calculated error. The proposed model is tested in distribution networks. This type of network is well known for its nonhomogeneity on distribution lines. It also has changes on connected load and the existence of laterals. Those aspects have changed the traditional way fault location problem is solved. The way is different comparing to the solution for transmission lines. One of the objectives to achieve is prove how accurate this method is to locate faults. A fault locator is important for distribution companies and helps to improve reliability of distributions networks. The comparison is made between the calculations and the data gathered in a simulation software for distribution systems.