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     Research Journal of Applied Sciences, Engineering and Technology


Application of Particle Swarm Optimization for Optimal Distributed Generation Allocation to Voltage Profile Improvement and Line Losses Reduction in Distribution Network

1Mohammad Shahab Arkan and 2Hamed Salehi
1Department of Physics
2Department of Electrical Engineering, Yazd Branch, Islamic Azad University, Yazd, Iran
Research Journal of Applied Sciences, Engineering and Technology  2013  20:4791-4795
http://dx.doi.org/10.19026/rjaset.5.4321  |  © The Author(s) 2013
Received: January, 19, 2012  |  Accepted: May 18, 2012  |  Published: May 15, 2013

Abstract

Distributed Generation (DG) had created a challenge and an opportunity for developing various novel technologies in power generation. The rate and size of DG implementation have o be determined. The increasing need of electricity and establishing powerhouses, as well as to spend a great amount of time to build powerhouses, indicate the necessity of distributed generation in small size and close to the consumer location. In this study, selecting a part of Tehran network, attempts to investigate the effects of distributed generation on line losses and voltage profile using PSO. The introduction of PSO based DG in a distribution system offers several benefits: Significant voltage profile improvement, Considerable line loss reduction, Improves system reliability and etc. The optimum value of the DG, also obtained increases the maximum load ability of the system. The proposed method is tested on a system and the results of the simulation carried out will be given. Finally the results are compared to system without installation DG. The method has a potential to be a tool for identifying the best location and rating a DG to be installed for improving voltage profile and reduce losses.

Keywords:

DG allocation, distributed generation, loss reduction, particle swarm optimization, voltage profile,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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