Abstract
The primary method of power system fault diagnosis is that the fault section estimation is demonstrated a 0-1 programming model according to the acting theory of protective relays. This paper proposed a kind improved artificial fish-swarm algorithm: binary artificial fish-swarm algorithm (BAFA) for this kind of problem. Forward speed of optimal direction between swarm-behavior and follow-behavior is analyzed and a comparative analysis is made with genetic algorithm (GA) on this basis. Results indicate that follow-behavior is superior to swarm-behavior on forward speed of optimal direction and BAFA is superior to GA on the comprehensive performance. Meanwhile, it is shown that BAFA has the fast convergence speed and better optimization ability.
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