A novel method for transmission network fault location using genetic algorithms and sparse field recordings
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abstract
The paper presents an approach to locate a fault in a transmission network based on waveform matching. Matching during-fault recorded phasor with the during-fault simulated phasor is used to determine the fault location. The search process to find the best waveform match is actually an optimization problem. The genetic algorithm (GA) is introduced to find the optimal solution. The proposed approach is suitable for the situations where only the data recorded sparsely is available. Under such circumstances, it can offer more accurate results than other known techniques.