You are in:Home/Publications/Shimaa A. Hussien, M.A. Ebrahim, H.M. Mahmoud, E.M. Saied, M.M. Salama, “Optimal Placement and Sizing of DGs in Distribution System for Improving Voltage Profile and Reducing Loss using Moth Flame Optimization”, International Journal of Scientific Research Engineering & Technology (USRET), ISSN 2278 – 0882, Volume 6 , Issue 3, March 2017, pp. 161 -167.

Prof. Mohamed Moenes Mohamed Salama :: Publications:

Title:
Shimaa A. Hussien, M.A. Ebrahim, H.M. Mahmoud, E.M. Saied, M.M. Salama, “Optimal Placement and Sizing of DGs in Distribution System for Improving Voltage Profile and Reducing Loss using Moth Flame Optimization”, International Journal of Scientific Research Engineering & Technology (USRET), ISSN 2278 – 0882, Volume 6 , Issue 3, March 2017, pp. 161 -167.
Authors: Shimaa A. Hussien, M.A. Ebrahim, H.M. Mahmoud, E.M. Saied, M.M. Salama
Year: 2017
Keywords: Keywords – multi-objective optimization, Moth Flame Optimization (MFO), Harmony Search (HS), Voltage Drop (VD), distribution generators (DGs)
Journal: International Journal of Scientific Research Engineering & Technology (USRET), ISSN 2278 – 0882
Volume: Volume 6
Issue: Issue 3
Pages: pp. 161 -167.
Publisher: Not Available
Local/International: International
Paper Link:
Full paper Mohamed Moenes Mohamed Salama _Paper1 Shaimaa.pdf
Supplementary materials Not Available
Abstract:

Abstract Owing to the fast growth of electricity consumption, Distributed Generation (DGs) plays an important role in distribution network due to their advantages. This paper presents a novel multi-objective optimization technique called Moth Flame (MFO) for determining the optimal location and size of Distribution Generation units (DGs) in distribution systems. Due to the best size and placement of DGs installation the voltage profile is improved, minimize the system loss and reduce the investment cost of distributed generation units is also achieved. In this paper the proposed technique will be implemented on two benchmark systems, the IEEE 14-bus and IEEE 39 using MATLAB simulation program. The simulated results prove the effectiveness and accuracy of the proposed technique compared to other optimization technique Harmony Search (HS).

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