Fault detection process automation in distribution lines using hybrid expert systems

Author(s)

Danilo Hernane Spatti

• Document type: Doctoral Thesis
• Press: São Carlos.
• Institution: Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC/SBD)
• Defense date: 2011-06-15

Examining board members

Ivan Nunes da Silva; Rogério Andrade Flauzino; Claudionor Francisco do Nascimento; Jose Pissolato Filho; José Alfredo Covolan Ulson

• Advisor: Ivan Nunes da Silva

Abstract

Efficient faults identification and location in power distribution lines constitute an important step for power quality improvement, since they provide direct impacts on the inspection time. In fact, the duration of inspection implies directly in the time interval where consumers are without power, considering here the occurrence of a non-programmed interruption. The objective of this work is to provide an automated fault detection system, allowing to the power companies engineers to online track and monitor the possible occurrence of faults and electromagnetic transients observed in the primary network for the distribution circuits. The detection approach uses a hybrid system, which combines a set of intelligent and conventional tools to identify and locate faults in the primary networks. Validation results show great application potential in distribution systems. (AU)

• FAPESP's process: 07/03389-5 - Fault detection process automation in distribution lines using hybrid expert systems
• Grantee: Danilo Hernane Spatti
• Support Opportunities: Scholarships in Brazil - Doctorate