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Article Number - B1CA67748831


Vol.6(8), pp. 137-145 , December 2014
https://doi.org/10.5897/JETR2014.0369
ISSN: 2006-9790


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Full Length Research Paper

Relocation of source of sporadic production using genetic algorithm in distribution network


Shirin Farhadi1 and Reza Dashti2*




1Azad University of Jasb, Iran.

2Iran University of Science and Technology, Iran.


Email: [email protected]






 Received: 29 March 2014  Accepted: 29 October 2014  Published: 28 December 2014

Copyright © 2014 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0


Today, due to the development of distribution systems and increase of demand and load, the use of the source of scattered production has developed. The establishment of the installation place and the size of the source of scattered production decrease network loss, lead to best action of network as well as the recovery of the voltage profile. In this article, we use the genetic algorithm for relocating and finding the best sources of scattered production with active power production and reactive power production by arranging and using them. Also in this article, in addition to decreased loss, balanced voltage, stabilization and recovery of profile have purpose function. The results show that the system of 33 bass is the power and effectiveness of the method.

 

Key words: Scattered production, optimization, genetic logs. 

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APA Farhadi, S. & Dashti, R. (2014). Relocation of source of sporadic production using genetic algorithm in distribution network. Journal of Engineering and Technology Research, 6(8), 137-145.
Chicago Shirin Farhadi and Reza Dashti. "Relocation of source of sporadic production using genetic algorithm in distribution network." Journal of Engineering and Technology Research 6, no. 8 (2014): 137-145.
MLA Shirin Farhadi and Reza Dashti. "Relocation of source of sporadic production using genetic algorithm in distribution network." Journal of Engineering and Technology Research 6.8 (2014): 137-145.
   
DOI https://doi.org/10.5897/JETR2014.0369
URL http://academicjournals.org/journal/JETR/article-abstract/B1CA67748831

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