Location and Identification of Harmonic Sources in Power Distribution Systems by Intelligent Systems.

• Grant number: 08/09521-5
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: April 01, 2009
• End date: April 30, 2011
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Ivan Nunes da Silva
• Grantee: Ricardo Augusto Souza Fernandes
• Host Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Associated research grant: 06/58850-6 - Diagnosis, prognosis and fault accommodation for dynamical systems, AP.TEM

Abstract

The doctorate project entitled "Location and Identification of Harmonic Sources in Power Distribution Systems by Intelligent Systems" has as main objective the development of new intelligent strategies, mainly based on artificial neural networks and fuzzy inference systems, which will be integrated with conventional signal processing methodologies and optimization technique by decomposition in orthogonal components for voltage and current waveforms in order to identify those consumers and their respective loads that are contributing to harmonic distortion in power distribution feeders.

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)

SOUZA FERNANDES, RICARDO AUGUSTO; OLESKOVICZ, MARIO; DA SILVA, IVAN NUNES. armonic Source Location and Identification in Radial Distribution Feeders: An Approach Based on Particle Swarm Optimization Algorith. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, v. 18, n. 5, p. 3171-3179, MAY 2022. (08/09521-5)

Academic Publications

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

FERNANDES, Ricardo Augusto Souza. Location and identification of consumers with larger contribution to harmonic distortion of voltage in power distribution systems. 2011. Doctoral Thesis - Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC/SBD) São Carlos.