Location and Identification of Sources Causing Voltage Variations of Short Duration in Smart Grids

• Grant number: 13/16778-0
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: May 01, 2014
• End date: March 31, 2017
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Ivan Nunes da Silva
• Grantee: Fabbio Anderson Silva Borges
• Host 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

Voltage fluctuations in short term, mainly sags, represent some of the most common events in relation to the power quality. In research related to these disorders, there is a major concern in developing methods for detection and classification. However, one should highlight the localization tasks, which have limited progress, precisely because of the short duration of the disturbances. In this sense, this research aims to develop a system for locating sources of disturbances in voltage variation in short duration. It is noteworthy that this work also aims at the construction of smart meters that (installed in consumers) are able to communicate among themselves and to utility in order to assist in the location of sources that cause the disturbances. Therefore, the smart meters will be responsible for detecting and capturing the disturbance, as well as send the necessary information to the control center of the utility. Consequently, the control center will aggregate and interpret the data from various meters and thus make decisions through intelligent systems, which enable the location of the sources of the disturbances.

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)

BORGES, F. A. S.; SILVA, I. N.; FERNANDES, R. A. S.; OMATU, S; RODRIGUEZ, S; VILLARRUBIA, G; FARIA, P; SITEK, P; PRIETO, J. Feature Extraction-Based Method for Voltage Sag Source Location in the Context of Smart Grids. DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, v. 620, p. 8-pg., 2018-01-01. (13/16778-0)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

BORGES, Fabbio Anderson Silva. Hybrid method based on k-means algorithm and decision rules for short-duration voltages source location in the context of smart grid. 2017. Doctoral Thesis - Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC/SBD) São Carlos.