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基于多种群蚁群算法的变压器故障检测次序寻优方法研究
引用本文:崔霞,魏鲁原.基于多种群蚁群算法的变压器故障检测次序寻优方法研究[J].徐州师范大学学报(自然科学版),2012(1):48-52.
作者姓名:崔霞  魏鲁原
作者单位:徐州师范大学电气工程及自动化学院
基金项目:徐州师范大学科研基金资助项目(09XLB18)
摘    要:针对传统变压器故障检测次序的不足,在研究变压器故障树分析方法的基础上,提出了一种基于多种群蚁群算法的变压器故障检测次序寻优方法.首先给出了多种群蚁群算法的原理和模型;然后利用蚁群算法的全局优化和启发式寻优的特点,对变压器故障检测次序进行优化;最后,以分接开关故障树为例验证了多种群蚁群算法在变压器故障检测次序寻优中的可行性和有效性.

关 键 词:变压器  检测次序  蚁群算法

Study on transformer fault test sequence optimization based on the multigroup ant colony algorithm
Cui Xia,Wei Luyuan.Study on transformer fault test sequence optimization based on the multigroup ant colony algorithm[J].Journal of Xuzhou Normal University(Natural Science Edition),2012(1):48-52.
Authors:Cui Xia  Wei Luyuan
Institution:(School of Electrical Engineering & Automation,Xuzhou Normal University,Xuzhou 221116,Jiangsu,China)
Abstract:In order to improve the traditional power transformer fault test sequence,a power transformer fault test sequence model based on ant colony algorithm is proposed by study of fault tree analysis.Firstly,the multi-colony ant algorithm suitable for fault tree search is proposed.Secondly,the power transformer fault test path is optimized with global optimization and heuristic optimal of ant colony algorithm.Lastly,based on ant colony algorithm,the simulated experiment for transformer tap-changer fault diagnosis is given.The simulation shows that this method is feasible and effective.
Keywords:transformer  test sequence  ant colony algorithm
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