Year: 2007
Type: dissertation
Abstract: This dissertation studied new transmission line fault diagnosis approaches using\nnew technologies and proposed a scheme to apply those techniques in preventing and\nmitigating cascading blackouts. The new fault diagnosis approaches are based on two\ntime-domain techniques: neural network based, and synchronized sampling based.\nFor a neural network based fault diagnosis approach, a specially designed fuzzy\nAdaptive Resonance Theory (ART) neural network algorithm was used. Several ap-\nplication issues were solved by coordinating multiple neural networks and improving\nthe feature extraction method. A new boundary protection scheme was designed by\nusing a wavelet transform and fuzzy ART neural network. By extracting the fault gen-\nerated high frequency signal, the new scheme can solve the difficulty of the traditional\nmethod to differentiate the internal faults from the external using one end transmis-\nsion line data only. The fault diagnosis based on synchronized sampling utilizes the\nGlobal Positioning System of satellites to synchronize data samples from the two ends\nof the transmission line. The effort has been made to extend the fault location scheme\nto a complete fault detection, classification and location scheme. Without an extra\ndata requirement, the new approach enhances the functions of fault diagnosis and\nimproves the performance.\nTwo fault diagnosis techniques using neural network and synchronized sampling\nare combined as an integrated real time fault analysis tool to be used as a reference of traditional protective relay. They work with an event analysis tool based on event tree\nanalysis (ETA) in a proposed local relay monitoring tool. An interactive monitoring\nand control scheme for preventing and mitigating cascading blackouts is proposed.\nThe local relay monitoring tool was coordinated with the system-wide monitoring\nand control tool to enable a better understanding of the system disturbances. Case\nstudies were presented to demonstrate the proposed scheme.\nAn improved simulation software using MATLAB and EMTP/ATP was devel-\noped to study the proposed fault diagnosis techniques. Comprehensive performance\nstudies were implemented and the test results validated the enhanced performance\nof the proposed approaches over the traditional fault diagnosis performed by the\ntransmission line distance relay.
Author: Nan Zhang
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Funder: National Science Foundation
OpenAlex ID: W2305308205