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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Methodology for information extraction from oscillograms and its application for high-impedance faults analysis

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Author(s):
Batista, Oureste Elias [1] ; Flauzino, Rogerio Andrade [1] ; de Araujo, Marcel Ayres [1] ; de Moraes, Lucas Assis [1] ; da Silva, Ivan Nunes [1]
Total Authors: 5
Affiliation:
[1] Univ Sao Paulo, Dept Elect & Comp Engn, BR-13566590 Sao Carlos, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS; v. 76, p. 23-34, MAR 2016.
Web of Science Citations: 7
Abstract

Safety and quality of supply represent targets that power distribution companies always strive to meet. Among those occurrences that can have simultaneous deleterious effects on both these targets, High-Impedance Faults (HIFs) stand out since the magnitudes of the effects on the system are too small to activate the relevant system protection devices. In this context, the main aim of this article is to present a new mathematical method for analysis of power systems transient events. This technique was used in the pre-processing of signals to help locate and identify Single Line-to-Ground (SLG) faults. The orthogonal component decomposition technique was tested qualitatively with the help of a real fault oscillogram recorded at a power distribution substation. Computer simulations based on a real distribution feeder model were performed and the numerical results showed that decomposition by Orthogonal Components was able to extract information with more than 80% correlation with the fault occurrence, almost 70% for the location and showed great immunity to the fault resistance effect. (C) 2015 Elsevier Ltd. All rights reserved. (AU)

FAPESP's process: 11/17610-0 - Monitoring and control of dynamic systems subject to faults
Grantee:Roberto Kawakami Harrop Galvão
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 12/21816-6 - Intelligent system based on orthogonal decomposition technique and fuzzy inference for high impedance location fault in distribution systems with distributed generation
Grantee:Oureste Elias Batista
Support Opportunities: Scholarships in Brazil - Doctorate