Title :
Fault location estimation based on matching the simulated and recorded waveforms using genetic algorithms
Author :
Kezunovic, M. ; Liao, Y.
Author_Institution :
Texas A&M Univ., TX, USA
Abstract :
Prompt and accurate location of the faults in a large-scale transmission system is critical when system reliability is considered and usually is the first step in the system restoration. The accuracy of fault location estimation essentially depends on the information available. In this paper, the fault location estimation is mathematically formulated as an optimization problem of which the fault location and fault resistances are unknown variables. An efficient genetic algorithm-based searching scheme is developed for obtaining a solution that is globally optimal
Keywords :
fault location; genetic algorithms; power system restoration; power transmission faults; power transmission protection; power transmission reliability; transmission network calculations; fault location estimation; fault resistances; genetic algorithms; globally optimal solution; large-scale transmission system; power system reliability; power system restoration; searching scheme;
Conference_Titel :
Developments in Power System Protection, 2001, Seventh International Conference on (IEE)
Conference_Location :
Amsterdam
Print_ISBN :
0-85296-732-2
DOI :
10.1049/cp:20010184