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

No Altmetrics are currently available for this publication.

Nouri, H. (2018) Optimal distribution power system reconfiguration using Genetics Algorithms and Branch exchange method. In: The International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM 2018), Algiers, Algeria, October 29‐31, 2018. Algiers, Algeria: CISTEM 2018, pp. 1-6 Available from: http://eprints.uwe.ac.uk/38468

[img]
Preview
PDF
PID5458597.pdf - Accepted Version
Available under License All Rights Reserved.

Download (780kB) | Preview

Abstract/Description

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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: GA, B&B, losses, loading and reconfiguration
Faculty/Department: Faculty of Environment and Technology > Department of Engineering Design and Mathematics
Depositing User: Dr H. Nouri
Date Deposited: 09 Nov 2018 14:07
Last Modified: 23 Nov 2018 08:53
URI: http://eprints.uwe.ac.uk/id/eprint/38468

Statistics

Downloads
Activity Overview
10Downloads
118Hits
Origin of downloads

Additional statistics for this repository are available via IRStats2

Actions (login required)

View Item View Item