Optimal distribution power system reconfiguration using Genetics Algorithms and Branch exchange method

Nouri, H

Abstract

This paper uses Genetic Algorithms (GAs) and the branch exchange method to solve the optimal reconfiguration in radial distribution systems subject to 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 is inspired from natural behavior of species. In this paper, GAs are applied to a realistic distribution system (106 buses) located in the Medea city (Algeria). For the comparison purpose, our method is validated 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. (2018, October). Optimal distribution power system reconfiguration using Genetics Algorithms and Branch exchange method. Paper presented at CISTEM2018, Algiers, Algeria

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: CISTEM2018
• Conference Location: Algiers, Algeria
• Start Date: Oct 29, 2018
• End Date: Oct 31, 2018
• Acceptance Date: Apr 30, 2018
• Publication Date: Oct 29, 2018
• Deposit Date: Nov 9, 2018
• Publicly Available Date: Nov 23, 2018
• Peer Reviewed: Peer Reviewed
• Pages: 1-6
• Keywords: GA, B&B, losses, loading and reconfiguration
• Public URL: https://uwe-repository.worktribe.com/output/1434379
• Publisher URL: http://www.usthb.dz/CISTEM2018/
• Additional Information: Title of Conference or Conference Proceedings : The International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM 2018)