期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2014
卷号：7
期号：1
页码：81-90
DOI：10.14257/ijhit.2014.7.1.07
出版社：SERSC
摘要：The paper presents an ACO Based Pheromone Trail Evaporation method for fault searching in Power Distribution Networks.ACO Based Pheromone Trail Evaporation method is 'co-operative agent approach', which is inspired by the convergence rate and behavior of real ant colonies for finding a shortest path to reach food. Hence, in the proposed method is a set of co-operative agents called 'ants' co-operates to find a better solution for evolutionary fault searching. The ACO Based algorithm applied for better way for finding fault behavior and point of fault is evaluated on IEEE, 30, 52,190 Test bus systems. The proposed approach is compared with a normal conventional fault in power distribution network.
关键词：Fault Search; Ant Colony Optimization; Pheromone Trail Evaporation; Power ; Distribution Networks; co-operative agent approach
