원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.7 No.1
2014.01
pp.81-90
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
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.
목차
Abstract
1. Introduction
2. Ant Colony Optimization for Fault Identification
3. Fault Searching Behavior
4. Proposed Technique for Fault Detection
5. Proposed Algorithm for Fault Detection
6. Numerical Results
7. Nomenclature
8. Conclusions
Acknowledgements
References
1. Introduction
2. Ant Colony Optimization for Fault Identification
3. Fault Searching Behavior
4. Proposed Technique for Fault Detection
5. Proposed Algorithm for Fault Detection
6. Numerical Results
7. Nomenclature
8. Conclusions
Acknowledgements
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보