Title :
Fault diagnosis in deregulated distribution systems using an artificial neural network
Author :
Bretas, Arturo Suman ; Hadjsaid, Nouredine
Author_Institution :
Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Abstract :
With the arrival of deregulation, the traditional vertically integrated power systems are faced with some challenging uncertainties. Many uncertainties concern the control, operation and protection of distribution systems in a competitive electric market especially with the introduction of deregulation. This paper presents the problems in fault diagnosis of high impedance faults (HIF) in deregulated distribution systems and a proposed solution based on artificial neutral networks (ANN)
Keywords :
electricity supply industry; fault diagnosis; neural nets; power distribution faults; power system analysis computing; artificial neural network; competitive electric market; computer simulation; deregulated distribution system fault diagnosis; high impedance faults; uncertainties; vertically integrated power systems; Artificial neural networks; Control systems; Distributed control; Fault currents; Fault diagnosis; Impedance; Induction generators; Intelligent networks; Power system protection; Uncertainty;
Conference_Titel :
Power Engineering Society Winter Meeting, 2001. IEEE
Conference_Location :
Columbus, OH
Print_ISBN :
0-7803-6672-7
DOI :
10.1109/PESW.2001.916970
