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Detection of ULF Analogy Using ACO Based Algorithm in Power Distribution Networks

Ramesh. Gamasu 1 and Venkata Ramesh Babu. Jasti 2
1. Department of EEE, SACET, Cherala (A.P), India
2. Department of EEE, RISE Krishna Sai Group of Institutions, Ongole (A.P), India
Abstract—Distribution and Transmission are two key systematic parameters in power systems engineering and power systems are places a huge role in nation’s progress. Now a day’s Power Distribution Networks are exaggerated by different tribulations like voltage dip conditions, harmonics, swell and sag conditions and faults etc. Out of mentioned, faults are very dangerous that affects voltage stability and load balancing phenomenon. The proposed article will able to explain the identification of Unbalanced Load Faults (ULF) using modern optimization techniques. This technique initiates the problem by taking number of iterations and contextual procedure i.e. Ant Colony Optimization (ACO). This is best methodology apt for any mechanical and electrical distribution networks helps to negotiate the problem by taking number of iterations. The proposed article suggests how to identify the unbalanced fault analogy and faults behavior using ACO based algorithm. The overall topology was investigated and simulated and highly graphical facilities are provided with help of MAT Lab Simulation.

Index Terms—unbalanced load faults (ULF), ant colony optimization (ACO), modern optimization technique, power distribution networks, fault searching behavior

Cite: Ramesh. Gamasu and Venkata Ramesh Babu. Jasti, "Detection of ULF Analogy Using ACO Based Algorithm in Power Distribution Networks," International Journal of Electronics and Electrical Engineering, Vol. 3, No. 2, pp. 110-114, April 2015. doi: 10.12720/ijeee.3.2.110-114
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