Study on Power Transformer Fault Test Sequence Optimization Based on Multi-colony Ant Colony Algorithm

This paper studied power transformer fault test sequence optimization based on ant colony algorithm. Power transformer fault test sequence model based on ant colony algorithm was proposed by study of fault tree analysis. Power transformer fault test path was optimized with global optimization and heuristic optimal of ant colony algorithm. Fault probability was introduced power transformer fault test sequence system, which was inspired by the fault tree analysis method. Multi-colony ant algorithm was used to realize test sequence optimization. Transformer tap-changer fault diagnosis simulation based on ant colony algorithm showed that this method is feasible and effective.