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MORAES-FOGER, L. A. Fault Location in an Electrical Energy Distribution System using only Post-Fault Voltage Data as Inputs of a Multilayer Fuzzy Inference System. 72 f. Thesis (Doctorate) – Departamento de Engenharia Elétrica e de Computação, Escola de Engenharia de São Carlos, Universidade de São Paulo, São Carlos, 2019. This work aims to locate faults in electrical energy distribution systems using only post-fault voltage data. Current data is not used because their measurement is not a minimum requirement of smart meters. The collected data is applied to a multilayer fuzzy inference system. The way voltage data is selected to train the fuzzy system is an exclusive feature of this work, since it is a continuation of the methodology developed during the master’s dissertation of this thesis author. The scenario studied is a feeder of an actual distribution system, with 1600 buses and 505 transformers. For the purpose of results comparison, the distance of the fault is obtained in two ways: by the composition of the zero and positive sequence impedances estimations and by the direct estimation of the distance. The results are satisfactory, with errors that are consistent with those found in the literature, while the direct estimation of the fault distance presented slightly better results.

Localização de faltas em um sistema de distribuição de energia elétrica utilizando apenas dados de tensão pós-falta como entradas de um sistema de inferência >i<fuzzy>/i< multicamadas

Localização de faltas em um sistema de distribuição de energia elétrica utilizando apenas dados de tensão pós-falta como entradas de um sistema de inferência >i/i< multicamadas