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Intelligent system based on orthogonal decomposition technique and fuzzy inference for high impedance location fault in distribution systems with distributed generation

Grant number: 12/21816-6
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): March 01, 2013
Effective date (End): February 29, 2016
Field of knowledge:Engineering - Electrical Engineering - Industrial Electronics, Electronic Systems and Controls
Principal researcher:Rogério Andrade Flauzino
Grantee:Oureste Elias Batista
Home Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated research grant:11/17610-0 - Monitoring and control of dynamic systems subject to faults, AP.TEM

Abstract

The electric power systems have many challenges in its operation. In distribution systems, the great number of branches, the electrical imbalance, the dynamic loads and other characteristics that are present in these systems make the identification and location of faults a continuing challenges. The influence of the fault impedance is one of the most important in the identification and location process. Those variable affecting the application of conventional methods for locating of high-impedance faults, since they present temporal variation. Notwithstanding the difficulties intrinsic to the location of high impedance faults, the spread of sensitive loads and its nonlinear nature, incisive regulatory on power quality indices and, especially, the penetration of distributed generation in distribution systems have impacts that require extensive and detailed studies for upgrading of control systems, communication and protection in order to realign the operation to new paradigms. Featured by its great expansion, distributed generation gives change in power flow system by promoting the loss of the radial characteristic under which protection systems are designed. Thus, this research project aims to develop an intelligent system for locating high-impedance faults, based on the application of the technique of the decomposition on orthogonal components and fuzzy inference to interpret the uncertainties inherent in distribution systems permeated with dispersed generation.

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
FONSECA SOBRINHO, ANDRE SANCHES; FLAUZINO, ROGERIO ANDRADE; BARTOCCI LIBONI, LUISA HELENA; MARQUES COSTA, EDUARDO C. Proposal of a fuzzy-based PMU for detection and classification of disturbances in power distribution networks. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, v. 94, p. 27-40, JAN 2018. Web of Science Citations: 4.
BATISTA, OURESTE ELIAS; FLAUZINO, ROGERIO ANDRADE; DE ARAUJO, MARCEL AYRES; DE MORAES, LUCAS ASSIS; DA SILVA, IVAN NUNES. Methodology for information extraction from oscillograms and its application for high-impedance faults analysis. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, v. 76, p. 23-34, MAR 2016. Web of Science Citations: 7.
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
BATISTA, Oureste Elias. Intelligent system based on orthogonal decomposition technique and fuzzy inference for high impedance location fault in distribution systems with distributed generation. 2016. Doctoral Thesis - Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC/SBD) São Carlos.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.