Fault localization in microgrids based on an optimized meter allocation

• Grant number: 17/22967-1
• Support Opportunities: Regular Research Grants
• Start date: June 01, 2018
• End date: May 31, 2020
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Mário Oleskovicz
• Grantee: Mário Oleskovicz
• Host Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Associated researchers: Denis Vinicius Coury ; José Carlos de Melo Vieira Júnior

Abstract

The current changes in the electric power system, for example, due to the introduction ofdistributed generation sources, bring new challenges to the model and operation for traditional distribution electric power systems. These changes in the electrical scenario have arised due to the continuous search for more sustainable sources of electrical energy, transport, final use of electricity more efficiently and by due to the need to modernize the infrastructure of theelectrical sector. In this sense, there is an increasing interest in improving the electrical current networks through the automation of all processes and an incorporation of some intelligence in the actions of the operation and restoration of the system in face of undesired situations. In this way, this research project proposes, based on an optimized allocation of meters, to determine aprecise location of short-circuits that can occur in the micro grids. A fast and precise location of short-circuits in this context reflects on the agility of the operation, on the restoration of the electrical system for the utilities, as well as on the satisfaction of the end users. It also reflects on a better evaluation of the utilities by the regulatory agencies when analyzing the quality indicesof service provided. In this research, considering an optimized allocation of meters, machine learning tools, and/or deep learning will be used, resulting in a precise and fast location of the fault situation, also addressing the problem of multiple fault location, still not well solved in the current proposals for distribution systems. For an assessment and validation of the techniquesapplied to the short-circuit location problem, PSCAD"/ EMTDC" software will be employed. (AU)

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)

TEIXEIRA MARTINS, PAULO ESTEVAO; OLESKOVICZ, MARIO. Multi-Objective Optimization Aiming to Minimize the Number of Power Quality Monitors and Multiple Fault Estimations in Unbalanced Power Distribution Systems. IEEE Transactions on Power Delivery, v. 37, n. 2, p. 9-pg., 2022-04-01. (17/22967-1)

TEIXEIRA MARTINS, PAULO ESTEVAO; OLESKOVICZ, MARIO; DA SILVA PESSOA, ANDRE LUIS; IEEE. Methodology for Power Quality Monitors Allocation Considering Network Topology Changes. 2021 IEEE MADRID POWERTECH, v. N/A, p. 6-pg., 2021-01-01. (17/22967-1)

TEIXEIRA MARTINS, PAULO ESTEVAO; OLESKOVICZ, MARIO; IEEE. Multi-objective Optimization Aiming to Minimize the Number of Power Quality Monitors and Multiple Fault Estimations in Unbalanced Power Distribution Systems. 2022 20TH INTERNATIONAL CONFERENCE ON HARMONICS & QUALITY OF POWER (ICHQP 2022), v. N/A, p. 10-pg., 2022-01-01. (17/22967-1)