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Prof. Mohamed Moenes Mohamed Salama :: Publications:

Title:
“Optimal Allocation and Size of Multi-Type Distributed Generators in Distribution System using Dragonfly Optimization Agorithm”, International Journal of Scientific Research Engineering & Technolgy (IJSRET), Vol. 6 , Issue 3, March 2017, ISSN 2278-0882, pp. 250 - 257, http://www.ijsret.org/
Authors: Shimaa A. Hussien, M.A. Ebrahim, H.M. Mahmoud, E.M. Saied, M.M. Salama
Year: 2017
Keywords: Index Terms— Multi-Objective Function (MOF), Dragon Fly Algorithm (DFA), Harmony Search Algorithm (HSA), Power Factor (PF), Voltage Deviation (ΔV)
Journal: International Journal of Scientific Research Engineering & Technolgy (IJSRET)
Volume: Vol. 6
Issue: Issue 3
Pages: pp. 250 - 257
Publisher: Not Available
Local/International: International
Paper Link: Not Available
Full paper Mohamed Moenes Mohamed Salama _Paper2 Shaimaa.pdf
Supplementary materials Not Available
Abstract:

Abstract In this paper, a very newly swarm optimization technique namely a dragonfly optimization algorithm (DFOA) is used to allocate and size the distributed generators (DGs) along distribution networks. The multi-objective function is adapted to reduce the total system power loss, decrease the cost of DGs and improve the voltage profile with the resolve of improving the operating performance. In addition, the loaded power factor and reduction in network reactive power loss are spotted. The proposed methodology is agreed to challenge of loss sensitivity to decide the final sitting and size of the DGs. Two types of the DGs are studied and investigated. The proposed method is established and validated finished in distribution networks with different sizes and complexities. The DFOA methodology can efficiently produce highquality solutions compared to other competitive techniques such as Harmony Search (HS).

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