Restructuration of distribution power system using Genetics Algorithms

Nouri, Hassan; Sebaa, K; Henini, N; Tlem�ani, A

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• Presentation Conference Type: Conference Paper (unpublished)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
• Conference Location: Stoke on Trent, UK
• Start Date: Sep 1, 2015
• End Date: Sep 4, 2015
• Acceptance Date: Apr 5, 2015
• Publication Date: Sep 4, 2015
• Deposit Date: Nov 19, 2015
• Publicly Available Date: Mar 15, 2016
• Peer Reviewed: Peer Reviewed
• Keywords: GA, B&B, losses, loading and reconfiguration
• Public URL: https://uwe-repository.worktribe.com/output/828548
• 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
• Additional Information: Additional Information : © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; Title of Conference or Conference Proceedings : UPEC2015