Master's Thesis
Caracterização probabiliística da resistência de defeito em redes de tranporte de energia eléctrica
2017
—Key information
Authors:
Supervisors:
Published in
11/30/2017
Abstract
Electric power systems are daily exposed to service interruptions caused by faults due to different causes. Any fault in the power system has a certain resistance value, referred to as fault resistance. The main objective of this dissertation is to propose a probabilistic model that describes the fault resistance, through the study of values of fault resistance obtained for 100 faults, recorded in RNT. Computation of fault resistance is related to fault location, and therefore, two existing fault location algorithms, which use current and voltage measurements are applied to the fault records. One algorithm uses measurements from one end of the line and the other from both ends. Through the EMTP-RV software, several faults, in two different test network locations corresponding to the “RNT Sul”, were simulated for the two algorithms. Thus, from this algorithm, values of the fault resistance corresponding to the 100 faults, recorded in the RNT, were calculated. From its statistical analysis, two probabilistic models are proposed, one based on a Weibull distribution and the other based on a normal distribution in a logarithmic scale. In order to evaluate the adequacy of each proposed probabilistic model to the values obtained, a procedure based on the exploratory data analysis is used. For all voltage levels together and separately, a theoretical quantil-quantil plot is made and the probability density and cumulative distribution functions are applied to the data distribution.
Publication details
Authors in the community:
Patrícia Daniela Ferreira Duarte
ist172622
Supervisors of this institution:
Fields of Science and Technology (FOS)
electrical-engineering-electronic-engineering-information-engineering - Electrical engineering, electronic engineering, information engineering
Publication language (ISO code)
por - Portuguese
Rights type:
Embargo lifted
Date available:
10/23/2018
Institution name
Instituto Superior Técnico