Optimal Location and Sizing of Distributed Generation for Minimizing Power Loss Using Simulated Annealing Algorithm
Journal of Electrical and Electronic Engineering
Volume 5, Issue 3, June 2017, Pages: 104-110
Received: May 15, 2017;
Accepted: May 23, 2017;
Published: Jun. 21, 2017
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Salah Kamal EL-Sayed, Department of Electrical Power & Machines, Faculty of Engineering, Al-Azhar University, Cairo, Egypt
Distributed Generation integration in electric power system is one of the options which give many benefits such that loss Reduction, peak saving, voltage profile improvement, stability and reliability improvement. The installation of DG units at non-optimal location can result in an increase in system losses, damaging voltage state. In this paper, simulated annealing Algorithm (SAA) techniqueis designed for optimally determining the location, sizing and numbers of distributed generations depending on power loss reduction and voltage profile improvement. The proposed technique is tested on IEEE 57- bus system to demonstrate the performance of the network after inserting the distributed generation in selected optimal location with optimal sizing. Results show the efficiency of the proposed algorithm in reducing power losses, improving voltage profile.
Salah Kamal EL-Sayed,
Optimal Location and Sizing of Distributed Generation for Minimizing Power Loss Using Simulated Annealing Algorithm, Journal of Electrical and Electronic Engineering.
Vol. 5, No. 3,
2017, pp. 104-110.
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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