Restructuration of distribution power system using Genetics Algorithms

Abstract

This paper uses Genetic Algorithms (GAs) to solve the optimal reconfiguration in radial distribution systems for power loss reduction that determine the optimal switches. The GA is a relatively powerful intelligence evolution method for solving optimization problems. It is a population based approach that was inspired from natural behavior of species. In this paper GA is applied to a realistic distribution system (106 buses) located in the medea city (Algeria). For the comparison purpose, our method is compared with the classical Branch and Bound (B&B) method, widely used by the Distribution companies. The results confirm the superiority of the GA.

Citation

Nouri, H., Sebaa, K., Henini, N., & Tlemçani, A. (2015, September). Restructuration of distribution power system using Genetics Algorithms. Paper presented at International Universities Power Engineering Conference, Stoke on Trent, UK

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: International Universities Power Engineering Conference
• Start Date: Sep 1, 2015
• End Date: Sep 4, 2015
• Acceptance Date: Apr 5, 2015
• Publication Date: Sep 4, 2015
• Peer Reviewed: Peer Reviewed
• Keywords: GA, B&B, losses, loading and reconfiguration
• Publisher URL: http://dx.doi.org.10.1109/UPEC.2015.7339834
• Related Public URLs: http://people.uwe.ac.uk/Pages/person.aspx?accountname=campus%5Ch-nouri
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