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Automated fault location system for Smart Grids

Grant number: 13/23117-0
Support Opportunities:Regular Research Grants
Duration: March 01, 2014 - February 29, 2016
Field of knowledge:Engineering - Electrical Engineering - Power Systems
Principal Investigator:Giovanni Manassero Junior
Grantee:Giovanni Manassero Junior
Host Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Associated researchers:Eduardo Lorenzetti Pellini

Abstract

This research project presents the development and implementation, in a computational routine, of an automated fault location system for primary distribution networks, that have distributed generation units installed along their feeders.The proposed automated fault location system is based on algorithms that are capable of identifying the fault point using information about the operating status of the distribution networks, as well as voltages and currents signals recorded at the substations.In addition, these algorithms use information about the electrical parameters of the feeders, typical loading values of the distribution transformers and the electrical parameters of the distributed generators.The validation of the algorithms developed within this research project is based on computer simulations using network models implemented in ATP - Alternative Transient Program, MATLAB - Matrix Laboratory and/or RTDS - Real Time Digital Simulator. (AU)

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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)
MANASSERO JUNIOR, GIOVANNI; DI SANTO, SILVIO GIUSEPPE; ROJAS, DANIEL GUTIERREZ. Fault location in series-compensated transmission lines based on heuristic method. Electric Power Systems Research, v. 140, p. 950-957, . (15/09867-2, 13/23117-0)
MANASSERO, JR., GIOVANNI; DI SANTO, SILVIO GIUSEPPE; SOUTO, LAIZ. Heuristic Method for Fault Location in Distribution Feeders With the Presence of Distributed Generation. IEEE TRANSACTIONS ON SMART GRID, v. 8, n. 6, p. 2849-2858, . (13/23117-0, 15/09867-2)

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